The AI4EU Web Café provides the users with possibilities to participate virtually in live sessions with experts on specific AI domain or areas of interests. The user finds below the list of upcoming  and past Web Cafés related to AI which she or he can attend and interact with.

The recordings of the past AI4EU Cafes you can find on gotostage (only if the Speaker has agreed to publish it): 

https://www.gotostage.com/channel/ai4eucafe

and on youtube: 

https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ

These Web Cafés are moderated and organized by one of the AI4EU Consortium partner, Carmen Mac Williams (Grassroots Arts). For questions, comments and suggestions of new speakers and topics please contact the Web Café Manager Carmen Mac Williams: carmen@grassroots-arts.eu

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AI4EU WEBCAFE – INFORMATION LEGAL NOTICE

https://drive.google.com/file/d/13DugkyUQ8dqNVhqsjZdLQJVu5lw4Wfzc/view?usp=sharing

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The upcoming AI4EU Web Café Sessions:

On May 18th the AI4EU Cafe presents Clara Canova (Senior Researcher at LINKS Foundation, Italy)

with her talk on "Helios' Road to Impact - Links' exploitation methodology for Horizon projects".

Please register here:

https://attendee.gotowebinar.com/register/7395234259410832653
Description: "Today we are presenting the exploitation strategy of Helios, a Horizon2020 RIA focusing on the development of a platform for decentralized and privacy-conscious social networks. As the exploitation consulting partner, LINKS is in charge of WP8 - Exploitation and Dissemination where we apply our proprietary methodology, JLM - Journey from Lab to Market."

Senior Researcher at LINKS Foundation, previously a business consultant in digital and automotive industries. 
My research focuses on digital transformation for the circular economy.
I hold a MSc in Internationa Administration and Global Governance from the University of Gothenburg and a Master in Management and Service Engineering from the Sant’Anna School for Higher Education in Pisa.
 

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On May 25th at 3 pm the AIEU Cafe presents

Nicu Sebe (Professor in the University of Trento, Italy).

with is talk

"Image and Video Generation: A deep Learning Approach"

Please register here

https://attendee.gotowebinar.com/register/288843219078109708
Description of his talk:
Video generation consists of generating a video sequence so that an object in a source image is animated according to some external information (a conditioning label or the motion of a driving video). In this talk I will present some of our recent achievements adressing these specific aspects: 1) generating facial expressions, e.g., smiles that are different from each other (e.g., spontaneous, tense, etc.) using diversity as the driving force.  2)  generating videos without using any annotation or prior information about the specific object to animate. 
Once trained on a set of videos depicting objects of the same category (e.g. faces, human bodies), our method can be applied to any object of this class. To achieve this, we decouple appearance and motion information using a self-supervised formulation. To support complex motions, we use a representation consisting of a set of learned keypoints along with their local affine transformations. A generator network models occlusions arising during target motions and combines the appearance extracted from the source image and the motion derived from the driving video. Our solutions score best on diverse benchmarks and on a variety of object categories.
CV:
Nicu Sebe is a professor in the University of Trento, Italy, where he is leading the research in the areas of multimedia information retrieval and human-computer interaction in computer vision applications. He received his PhD from the University of Leiden, The Netherlands and has been involved in the past with the University of Amsterdam, The Netherlands and the University of Illinois at Urbana-Champaign, USA. 

 

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On May 26th the AI4EU Cafe presents Josef Baker-Brunnbauer (SocialTechLab)

with his talk

How to overcome the barrier to kickoff Trustworthy AI implementation.

Please register here

https://attendee.gotowebinar.com/register/5364833206726788107

Description:

The research addressed the management awareness about the ethical and moral aspects of Artificial Intelligence (AI). It is a general trend to speak about AI, and many start-ups and established companies are communicating about the development and implementation of AI solutions. Therefore, it is important to consider different perspectives besides the technology and data as the key elements for AI systems. The way in which societies are interacting and organising themselves will change. Such transformations require diverse perspectives from the society and particularly from AI system developers for shaping the humanity of the future. The research aimed to overcome this barrier with the answers for the question: What kind of awareness does the management of AI companies have about the social impact of its AI product or service? Companies and their stakeholder need practical tools and implementation guidelines besides abstract frameworks to kick off the realization of AI ethics. Based on my previous research outcome AI development companies are still in the beginning of this process or have not even started yet. How is it possible to decrease the entry level barrier to kickoff AI ethics implementation? I tackle this question by combining AI ethics research with previous research findings to create the Trustworthy AI Implementation (TAII) framework. The aim is to kickoff AI ethics and to transfer research and abstract guidelines from academia to business. The TAII process generates a meta perspective on the systemic dependencies of ethics for the company ecosystem. It generates orienteering for the AI ethics kickoff without requiring a deep background in philosophy and considers perspectives of social impact outside the software and data engineering setting.

c) Bio:

Josef Baker-Brunnbauer worked for 20 years in different industry areas for start-ups and established companies in international projects for market leading clients. He is consulting companies about business model innovation, product innovation, change and digital transformation projects through his consulting company Product XYZ (www.product-xyz.com) and leading AI Ethics research projects at SocialTechLab (www.socialtechlab.eu). He holds a MBA in International Business Administration from LIMAK Johannes Kepler University Austria and Tsinghua University China, an engineering degree in Software Engineering, a diploma in Life Counseling and Coaching, a master’s degree in Psychosocial Counseling from the Karl- Franzens University in Austria, a diploma in Product Management from Marketing Academy Munich & University of Applied Sciences Upper Austria, he is book author and member of the European Commission AI Alliance.

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On May 27th at 3 PM the AI4EU Cafe presents

Olga Hamama (V29 Legal - Duve Hamama Rechtsanwaelte).

with her talk:

Artificial Intelligence Act – A Closer Look at the EC’s Proposal and its Consequences”.

Please register here:

https://attendee.gotowebinar.com/register/1378863862460829968
CV
Olga Hamama is an international dispute resolution lawyer with a specific focus on climate change and technology-related matters. Olga acts as arbitrator, (co-)-counsel and is also advising clients on regulatory and policy-related matters regarding artificial intelligence. Olga is a member of the Silicon Valley Arbitration and Mediation Center and is AI Legal at the German AI Association.

 

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Here you find the recordings of the past AI4EU Web Café Sessions:

All recordings you find under: https://www.gotostage.com/channel/ai4eucafe and on youtube: https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ-

 

On May 12th at 3 pm the AI4eU Cafe presents

 Daniel Calvo Alonso (Head of AI, Data & Robotics Unit at Atos Research and Innovation – FlexiGroBots Project Coordinator)

with his talk "FlexiGroBots - Flexible robots for intelligent automation of precision agriculture operations"

 

Description of his talk
The adoption of novel technologies by the agriculture sector has increased in the past years, unleashing a new paradigm – Agriculture 4.0. Within it, robotics, AI, automation, and other novel technologies play a major role in crop production and precision agriculture operations, optimising resources based on relevant data. Nevertheless, there is a gap between the installed and the real performance of different types of robots used for specific tasks.
FlexiGroBots is an H2020 project addressing the growing market needs for new robotic technologies and their adoption by ensuring efficient automation of precision agriculture operations and flexible use of multi-robot systems, including unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), which will be demonstrated on three real-life pilots on grapevines (Spain), rapeseeds (Finland), and blueberries (Lithuania and Serbia).
Join us at this interesting Café where you will be able to know more about FlexiGroBots motivation, objectives and its innovative platform which integrates and leverages existing technology platforms and components, digital transformation initiatives and ecosystems, and reference models and standards.
CV
Daniel Calvo obtained his MSc in Telecommunications Engineering by the University of Cantabria in 2009. He has worked for more than ten years in research and innovation projects in the area of heterogeneous hardware/software embedded systems, the Internet of Things, and Artificial Intelligence. Currently, he is the Head of the Artificial Intelligence, Data and Robotics unit in Atos Research and Innovation.
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On April 28th at 3 pm the AI4EU Cafe presents:

Holger Hoos (Universiteit Leiden, the Netherlands), the Coordinator of the current  ICT 48 VISION Project with his talk: "United in Diversity: Thoughts on the Future of "AI made in Europe”"

 

Description of his talk
Why is AI so important for citizens, enterprises and societies in Europe and elsewhere? Can Europe still play a global leadership role in AI? What needs to be done to ensure European interests and sovereignty in this area? And what are the pitfalls along the way? This talk offers a perspective on different possible futures of "AI made in Europe" and the conditions under which we are likely to find ourselves in each of these. It is informed by the speaker's extensive experience as an internationally leading AI researcher, his background in the North American and European AI research ecosystem, and his leadership role in CLAIRE, which coordinates the world's largest AI research network and works closely with the European Commission and other stakeholders in European AI.
CV
Holger H. Hoos is Professor of Machine Learning at Universiteit Leiden (the Netherlands) and Adjunct Professor of Computer Science at the University of British Columbia (Canada). He is a Fellow of the Association for Computing Machinery (ACM), Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), Fellow of the European AI Association (EurAI), past president of the Canadian Association for Artificial Intelligence and one of the initiators as well as chair of the board of CLAIRE, an organisation that seeks to strengthen European excellence in AI research and innovation (claire-ai.org). He also leads the ICT-48 VISION coordination mandate for the newly created European networks of centres of excellence in AI. Holger is well known for his work across a broad range of topics in artificial intelligence, notably on the automated design of high-performance algorithms; he is one of the originators of the concept of automated machine learning (AutoML).  

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Here you find the AI4EU WEBCAFE – INFORMATION LEGAL NOTICE

https://drive.google.com/file/d/13DugkyUQ8dqNVhqsjZdLQJVu5lw4Wfzc/view?usp=sharing

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On April 27th the Helios@AI4EU Cafe presents 

"Contact tracing and vaccine management for COVID: blockchain-based approaches"

with the Speaker Laura Ricci (UNIPI, Italy)

This is a cross project collaboration effort between AI4EU and Helios

The Helios@AI4EU Café will present Laura Ricci (UNIPI, Italy) with her talk "Blockchain for COVID-19 contact tracing and vaccine support".
Description of her talk
Several blockchain projects to help against COVID-19 are emerging at a fast pace, showing the potential of this disruptive technology to mitigate the multi-systemic threats that the pandemic is posing in all phases of the emergency management and generating value for the economy and society as a whole. This talk investigates how blockchain technology can be useful in the scope of supporting health measures that can reduce the spread of COVID-19 infections and allow the return to normality. Since
the prominent use of blockchains to mitigate COVID-19 consequences are in the area of contact tracing
and vaccine/immunity passport support, the talk mainly focuses on these two classes of applications. 
Short CV:
Laura Ricci received the Ph.D. from the University of Pisa. She is currently Associate Professor at the Department of Computer Science,  University of Pisa. Her research interests include distributed systems, peer-to-peer networks, cryptocurrencies, blockchains and social network analysis. In these fields, she has co-authored 150+ papers published on international journals and conference/workshop proceedings. She has served as program committee member and chair of several conferences and she is editor  of international journals on blockchain technology.  She has been a member of the group for the definition of the Italian national strategy on blockchains. She has been involved in several research projects and  is the local coordinator of University of Pisa unit of the H2020 European Project "Helios: A content aware Distributed Networking Framework".
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On March 24th 2021

the  AI4EU Cafe presents the Speaker  Prof. Dr. Paul Lukowicz, who is both Scientific Director of the German Research Center for Artificial Intelligence (DFKI GmbH) in Kaiserslautern and Chair of Embedded Intelligence in the Computer Science Department at TU of Kaiserslautern (TUK) since 2021. His main research areas are in context-specific, wearable recognition systems which include pattern recognition, system architectures, models, complex self-organising systems and their applications.
Description:The Speaker is the Coordinator of the HUmanE AI Net and will introduce the project.

 

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On March 18th the AI4EU Cafe presents

“AI4EU Open Call for Challenges: Learn how to get €70k & discover AI4EU Challenges in Health, Manufacturing and Agrifood”

with the Speaker Urszula Sobek (Fundingbox) and Guest Speakers

 

Please register here: https://attendee.gotowebinar.com/register/4872479594916797710

Talk description:

Urszula Sobek from FundingBox will speak about the founding opportunities that AI4EU can bring to the AI community. Urszula will introduce the Open Call for Solutions details and explain how to get €70k to solve one of AI Challenges.

The Challenges Owners selected by AI4EU from manufacturing, health and agrifood sectors will present their challenges to be addressed by Call for Solutions and answer the applicants questions.

BIO: Urszula Sobek (female), Project Manager at Fundingbox Accelerator. Master of Economy by University of Information Technology and Management in Rzeszów, the faculty of European Study (2008). Since 2004, she has been involved in innovation, IT, R&D and startup related projects on national and international scale, obtaining over 30 million Euros for external clients. Currently she works as Project Manager in AI4EU (2019-2021) and ELISE (2020-2022).

Guest Speakers will be the following Challenge Owners:

- Alberto Ferrero from EGATEl S.L.

- Aytun Onay from ACD Bilgi İşlem

- Pythagoras Karampiperis from SCiO P.C.

- Andreas Holmetoft Lyder from Lifeline Robotics A/S

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On March 17th the AIMEdia@AI4EU Cafe presents:

 the Speaker  Roberto Iacoviello, a Lead Research Engineer at RAI R&D.
Abstract 
Artificial Intelligence (AI) technologies are used in more and more applications yielding one of the fastest growing research in data analysis. Their usage can now be found in wide range of applications, including Image Processing, Image Enhancement and, recently, Video Coding. 
Users demand high resolutions, wide range of colors and richer details under bandwidth constraint. For this purpose, current state of the art image and video compression algorithms (e.g. High Efficiency Video Coding - HEVC - and its successor Versatile Video Coding - VVC) have some limitations: they are agnostic to the semantics of data being compressed as they work at low level (i.e., pixel level), and they perform exhaustive search for rate-distortion optimization. In order to produce more accurate and visually pleasing pictures at much higher compression levels, new generations of AI-empowered compression standards are needed.  

Bio: He graduated from the Politecnico di Torino. Since 2007 he has been working at the Rai R&D where he has developed the following skills: End to end video compression for broadcast, Computer Vision Algorithms, Augmented and Virtual Reality, Multimodal interfaces for TV, Smartphones and Head Mounted Display. His current research focuses on Artificial Intelligence applied to video compression and point clouds, next-generation TV Services, in particular Augmented Reality in broadcast television.  He follows the activities of the European Broadcasting Union (EBU), Digital Video Broadcasting (DVB) and actively participates in MPEG (Moving Picture Experts Group) and MPAI (Moving Picture, Audio and Data Coding by Artificial Intelligence) meetings. 
He has been working on several EC funded projects among which 5G-City and, at present, 5G-TOURS and AI4MEDIA. 

 

 

 

 

 

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On March 10th The AI4EU Cafe presents 

Barbara Guidi (Assistant Professor at the Department of Computer Science of the University of Pisa)

Blockchain and Decentralized Social Media”

 

Abstract:
Online Social Networks (OSNs) have changed the way of how people interact, however lately people are questioning more and more their business models. During the last ten years, new solutions based on decentralised architectures have been proposed, namely, Decentralized Online Social Networks (DOSNs) and Blockchain Online Social Medias (BOSMs). DOSNs were introduced several years ago and their main goal is the preservation of the privacy of the users in such a way that the data and the content of a user are always under their control. BOSMs leverage the usage of blockchain either to enforce the privacy of the users or to redistribute the wealth generated by the platform through a rewarding system. Steemit is the most stable and well-known BOSM with more than 1 million registered users, where users can create their own Social Network by following other users.
This talk will present the characteristics of decentralization and what DOSNs and BOSMs are by presenting existing platforms.

CV:
Barbara Guidi is currently an Assistant Professor at the Department of Computer Science of the University of Pisa. She received her B.Sc. and M.Sc. in Computer Science from the University of Pisa, Italy, in 2007 and 2011, respectively. She received her Ph.D. degree in Computer Science from the University of Pisa, in 2015. In 2014, during her Ph.D., she was a visitor at the Heinrich Heine University of Dusseldorf.
She was a Co-Chair for the conference EAI GoodTechs 2017, and Co-Chair of several workshops. She has been involved in the TPC of several International conferences and workshops, and has been a reviewer for relevant journals, such as IEEE Access, and Concurrency and Computation: 
Practice and Experience (CCPE). She received three Best Paper Awards: at the International Conference DCNET 2013, at the workshop LSDVE 2017, and at LSDVE 2018. 

 

This Café session is a cross project collaboration between the Horizon 2020 European Research Projects HELIOS and AI4EU in the current Next Generation Internet Program

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On March 9th 2021 the  AI4EU Cafe presents Speaker Pau Pamplona (Universitat Autònoma de Barcelona)
with his talk How user evaluation changed in times of COVID-19

Description:  Evaluation of digital services and products involving users is of great importance. User evaluation provides relevant information to help improve what is being developed. With the COVID-19 outbreak many things changed and conducting evaluations with users became challenging. After one year of pandemic, many researchers and entities involved in the user evaluation had to find work arounds and make use of new resources to overcome the burdens found, to continue their research. In this presentation, we will give some examples and recommendations to overcome the limitations brought by the COVID-19 pandemic. 

CV: BA in Industrial Engineering specialized in organization and project management. Tightly related with the Broadcast, Media and Creative industry sector, he has been participating in the coordination of FP7-CIP and H2020 Research and innovation projects. He is currently involved in MediaVerse, REBUILD, and HELIOS (H2020). Besides leading management and coordination activities, he also holds large expertise preparing and executing living labs and user-driven methodologies, being involved in medium and large pilots. His current focus at UAB is on social innovation and integration, user validation activities, and media accessibility.

This Café session is a cross project collaboration between the Horizon 2020 European Research Projects HELIOS and AI4EU in the current Next Generation Internet Program

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The AI4EU Cafe presented on March 3rd, 2021, at 3 pm the Speaker 

Georg Rehm (Principal Researcher in the Speech and Language Technology Lab at the German Research Center for Artificial Intelligence (DFKI), in Berlin

Brief Description:

With 24 official EU and many more additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs), which are based on Natural Language Processing (NLP) and language-centric AI methods. The European LT industry landscape is dominated by thousands of SMEs and a few large players. Many are world-class, with technologies that outperform the dominant global enterprises. However, the European LT industry is also fragmented – by nation states, languages, verticals and sectors. Likewise, while much of European LT research is world-class, with results transferred into industry and commercial products, its full impact is held back by fragmentation. The EU-funded project European Language Grid (ELG) addresses this fragmentation by establishing the ELG as the primary platform for LT in Europe. The ELG is a scalable cloud platform, providing, in an easy-to-integrate way, access to hundreds of commercial and non-commercial Language Technologies for all European languages, including running NLP tools and services as well as data sets and resources. It enables the commercial and non-commercial European LT community to deposit and upload their technologies and data sets into the ELG, to deploy them through the grid, and to connect with other resources. The ELG will ultimately boost the Multilingual Digital Single Market towards a thriving European LT community, creating new jobs and opportunities. Through two open calls, 15 pilot projects are financially supported, extending the ELG portfolio and demonstrating its usefulness. ELG fosters “language technologies for Europe built in Europe”, tailored to our languages and cultures and to our societal and economical demands, benefitting the European citizen, society, innovation and industry. The presentation will provide a comprehensive overview of the ELG project and cloud platform including a short demo of the current version of the system. In addition, the recently started EU sister project ELE (European Language Equality) will be briefly introduced. With a consortium of 53 partners, the ELE project develops a strategic agenda and roadmap for achieving full digital language equality in Europe by 2030.

 

Short Bio:

Dr. Georg Rehm works as a Principal Researcher in the Speech and Language Technology Lab at the German Research Center for Artificial Intelligence (DFKI), in Berlin. He’s the General Secretary of META-NET, an EU/EC-funded Network of Excellence dedicated to building the technological foundations of a multilingual European information society. Georg Rehm is the Coordinator of the EU-funded project European Language Grid (ELG, 2019-2022) and the BMBF-funded project QURATOR (Curation Technologies, 2018-2021). Furthermore, he is the Co-coordinator of the EU project European Language Equality (ELE, 2021-2022) and active in the EU project Lynx: Building the Legal Knowledge Graph for Smart Compliance Services in Multilingual Europe (2017-2021), in the EU project HumanE-AI-Net (2020-2023), in the BMWi-funded project SPEAKER (2020-2023) and a number of other projects. In 2018, Georg Rehm was awarded the honorary appointment as a DFKI Research Fellow for outstanding scientific achievements and special accomplishments in technology transfer. Since 2013, Georg Rehm has been the Head of the German/Austrian Chapter of the World Wide Web Consortium (W3C), hosted at DFKI in Berlin. Also related to ICT and standardisation, Georg Rehm is a member of the DIN Presidential Committee FOCUS.ICT. In the 2021/2022 term, Georg Rehm serves as the Secretary of the European Chapter of the Association for Computational Linguistics (EACL). Georg Rehm holds an M.A. in Computational Linguistics and Artificial Intelligence, Linguistics and Computer Science from the University of Osnabrück and a PhD in Computational Linguistics from the University of Gießen. He has authored, co-authored or edited approx. 200 research publications. 

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The Helios@AI4EU Cafe presentsed on Feb 23rd, 2021 

the Speaker Vanessa Clemente (Worldline Mobile Competence Center, Spain)

Description: During the last years, the amount of content creation through social media has grown rapidly. Every single day, we consume and create content ranging from articles to videos, images, etc. from a wide number of social media platforms such as Facebook, Twitter, YouTube and so on. However, most of these social networks fail in providing a fair and transparent rewarding system. Without active users who spend many hours interacting, creating content, posting, sharing, and engaging via “likes“ and comments, the platforms would not be of such value.  To solve this problem, the decentralization of OSNs has seen the rise of Blockchain-based Online Social Media (BOSMs) . These platforms give more importance to the content by providing rewarding systems. The main idea of these sites is to offer a fair and transparent business model where social media users can monetize their content. 
o    During the talk, an overview of current Blockchain-based Online Social Media (BOSMs) will be presented to show how they are currently applying a decentralized rewarding system. Afterwards, we will focalized on how we have developed the Helios Rewarding System; the pre-research conducted, its main functionalities, how it works and its architecture. To finalize we will show a video-demo showing the capabilities of Helios Rewarding system.
CV: o    Ms. Vanessa Clemente holds a Bachelor’s degree in Business Administration from the University of Barcelona, and a Master’s degree in Global Management  from the Antwerp Management School. Since 2015 has been working for the IT sector and in 2018, joined Worldline as business developer to generate solutions around mobile technologies and their digital ecosystem and Project Manager for R&D Projects at the Worldline Mobile Competence Center. She is currently involved in the Helios Project for the implementation of a decentralized rewarding system and a Blockchain access control module.

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The AI4EU Cafe presented on Feb 17th, 2021, at 3 pm the Speaker 
Olga Hamama (V29 Legal – Duve Hamama Rechtsanwaelte PartG mbB) 
 with her talk on 
EU’s AI Policy & Regulation: How can SMEs and Start-Ups test the trustworthiness of the AI applications”. 

Brief Description: The European Commission (EC) has defined its approach to AI as one of excellence and trust. One of the three pillars aiming at implementing EC’s Strategy on Artificial Intelligence is the introduction of an appropriate ethical and legal framework. The presentation is going to map the status quo of the European Regulation on AI. While some regulations might be already applicable to the AI applications, there is still some uncertainty with regards to the emerging EU regulations. Addressing the status quo, the presentation will also introduce suggestions on how Start-Ups and SMEs could test the trustworthiness of the AI applications and deal with the uncertainty pending the EU Regulation on AI.

Short Bio:Olga Hamama is an international dispute resolution lawyer with a specific focus on climate change and technology-related matters. Olga acts as arbitrator, (co-)-counsel and is also advising clients on regulatory and policy-related matters regarding artificial intelligence. Olga is a member of the Silicon Valley Arbitration and Mediation Center and is AI Legal at the German AI Association.
 

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On Feb 10th, 2021, at 3 pm

the Speaker Hannes Fassold (Senior researcher at the Machine Vision Applications Group of the DIGITAL institute at JOANNEUM RESEARCH) with his talk on “Employing AI for the semantic analysis of conventional and immersive video”.  

This Cafe session is a collaboration by AI4EU and AI4MEDIA partners!
 

Talk description

Description: AI-based methods are nowadays the best choice for automatic extraction of semantic metadata from archive content. In this session, will describe our experience employing deep learning algorithms for face detection and recognition as well as general object detection and tracking. We will discuss the current state of these methods and highlight issues which are still remaining, like the ethnic bias occurring in all face recognition methods trained on public datasets. We will then present use cases how these methods can help archives to annotate and exploit their content in a more convenient way. We address here not only conventional video content, but also emerging content types like immersive video, which pose new challenges for archives. We will show how face recognition and scene object extraction can be used for the semi-automatic annotation of video content and for automatic cinematography / editing of a 360° video.

BIO: Hannes Fassold received a MSc degree in Applied Mathematics from Graz University of Technology in 2004. Since then he works at JOANNEUM RESEARCH, where he is currently a senior researcher at the Machine Vision Applications Group of the DIGITAL institute. His main research interests are the automatic analysis and enhancement of video (e.g. object detection & tracking, optical flow, speaker recognition, defect detection, superresolution, denoising) with deep learning methods. He has published several publications in these fields and coordinates the machine learning workflow / infrastructure at DIGITAL. -----------------------------------

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On Feb 3rd, 2021 at 3 pm CET

 we presented the Speaker Fredrik Heintz (Associate Professor of Computer Science at Linköping University, Sweden)  with his talk on : "TAILOR - Foundations for Trustworthy AI Integrating Learning, Optimisation and Reasoning". Please register 

Description: Introduction to the European ICT 48 Research Project TAILOR
BIO: He leads the Reasoning and Learning group within the Division of Artificial Intelligence and Integrated Systems
(AIICS) in the Department of Computer Science. His research focus is artificial intelligence especially autonomous systems, stream reasoning and the intersection between knowledge representation and machine learning. He is the coordinator of the TAILOR ICT-48 network of AI research excellence centers, the Director of the Graduate School for the Wallenberg AI, Autonomous Systems and Software Program (WASP), the President of the Swedish AI Society, a member of the CLAIRE extended core team, a member of the EurAI board, a researcher at the AI Sustainability Center, and a member of the European Commission High-Level Expert Group on AI. He is also very active in education activities both at the university level and in promoting AI, computer science and computational thinking in primary, secondary and professional education. Fellow of the Royal Swedish Academy of Engineering Sciences (IVA).

 

On Thursday, Dec 16th, at 3 pm (CET) we presented the Speaker:

Symeon Papadopoulos (CERTH, which is the coordination organisation from AI4MEDIA)

with his talk on:

“Deepfakes: An Emerging Internet Threat and their Detection”

Talk description

Deepfakes have emerged for some time now as one of the largest Internet threats, and even though their primary use so far has been the creation of pornographic content, the risk of them being abused for disinformation purposes is growing by the day. Deepfake creation approaches and tools are continuously improving in terms of result quality and ease of use by non-experts, and accordingly the amount of deepfake content on the Internet is quickly growing. For that reason, approaches for deepfake detection are a valuable tool for media companies, social media platforms and ultimately citizens to help them tell authentic from deepfake generated content. In this presentation, I will be presenting a short overview of the developments in the field of deepfake detection, and present our lessons learned from working on the problem in the context of the Deepfake Detection Challenge and from developing a service for the H2020 WeVerify project.

CV:

Dr. Symeon Papadopoulos is a Senior Researcher with the Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece. He holds an electrical and computer engineering diploma from the Aristotle University of Thessaloniki, a Professional Doctorate in Engineering from the Technical University of Eindhoven, a Master’s in Business Administration from the Blekinge Institute of Technology and a PhD in Computer Science from the Aristotle University of Thessaloniki. His research interests lie at the intersection of multimedia understanding, social network analysis, information retrieval, big data management and artificial intelligence. Dr. Papadopoulos has co-authored more than 30 papers in refereed journals, 10 book chapters and 100 papers in international conferences, 3 patents, and has edited two books. He has participated in a number of relevant EC FP7 and H2020 projects in the areas of media convergence, social media and artificial intelligence, including WeVerify, HELIOS, FuturePulse, InVID, REVEAL and SocialSensor. He currently coordinates the H2020 MediaVerse project and is a member of the coordinating team of the AI4Media Network of Excellence. During the last years, he has been leading the Media Verification team (MeVer, https://mever.iti.gr), focusing on the development of tools for the detection and analysis of multimedia- and social media-based disinformation.

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On Wednesday, Dec 15th at 3 pm (CET) the Speakers:

Nicolas LONGEPE (Phi-lab Explore Office, Directorate of Earth Observation Programmes at the European Space Agency (ESA/ESRIN)

 

and Annekatrien Debien (Project director of the AI4EO )

 

with their talk on:

ESA’s AI4EO initiative: bridging the gap between the AI and Earth Observation communities”.”

Abstract:

Description:

Nicolas will start by introducing the phi-lab and the AI4EO initiative and Annekatrien will give an overview of the first challenge and the AI4EO platform

Bio: Dr Nicolas LONGEPE received the M.Eng. in electronics and communication systems and the M.S. degree in electronics from the National Institute for the Applied Sciences, France, both in 2005. Then, he received the PhD degree from the University of

 Rennes I, France, in 2008. From 2007 to 2010, he was with the Earth Observation Research Center of the Japan Aerospace Exploration Agency (JAXA), Japan. From 2010 to 2020, he worked at Collecte Localisation Satellite (CLS), France, as a research engineer in the Radar Application Division. Since September 2020, he is now with the Phi-lab Explore Office, Directorate of Earth Observation Programmes at the European Space Agency (ESA/ESRIN).

His main scientific interests include Earth Observation (with a focus on SAR imagery) and digital technologies such as Machine (Deep) Learning. He has been working on the development of innovative EO-based applications for environmental and natural resource management (ocean, mangrove, land and forest cover, soil moisture, snow cover, permafrost) and for maritime security (oil spill, sea ice, iceberg, and ship detection/tracking).

 

Bio: Annekatrien Debien is the project director of the AI4EO contract with ESA. She has a Masters in Bioscience engineering from the Catholic University of Leuven, with a focus on Earth Observation. She has worked as a service development manager, developing satellite-based ice monitoring, at Kongsberg Satellite Services from 2011 to 2015. Afterwards, she started at SpaceTec Partners, where she was in charge of training and information sessions on the EU’s Copernicus programme, and the Copernicus Support Office. Her interests include user education and innovation in the European Earth Observation sector. --------------------------

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On Thursday, Dec 10th, at 3 pm (CET) we present the Speakers:

Natalie St-Pierre (President & Founder,  SDG Capital  Corporation) and Patricia Gautrin – (Phd student in Ethics of artificial intelligence & President of Intelligence NAPSE inc)

 and

with their talk on:

AI Lifecycle – The Data Journey: unlocking Patient Capital for the 17 SDGs”

Please register here:
 

Talk description

Before rushing to the gate of AI programming and decision-making tools, the presenters want to highlight the essential upstream work to cleaning data and infrastructure to ensure a fair systemic decision making processes leaving No One Behind.  It appears that with an evolving mindset AI ethic, societies and institutions need to seek for potential bias and avoid them in a way that accountability could be measured for integrity and transparency.  The UN Agenda 2030 framework, its 17 SDGs, targets and indicators are helpful in providing a common language and roadmap to capture data in order to enable private and collective impact measurement for a just world.

Duo presentation:

Natalie St-Pierre – President & Founder,  SDG Capital Corporation

Seasoned expert focused on systemic changes with more than 20 years of experience in taxation, project & technology implementation, management & consulting, philanthropy & UN SDGs. Proven Innovator. Graduate studies in Knowledge Mobilization.
 

SDG Capital Corporation: Canadian start-up currently prototyping in Quebec a technology SDG Covestment platform enabling funders to make evidence-based selections between SDG innovations for a better world. AI & ML will play a key role in ensuring inclusive and unbiased selection algorithms built-in this platform.

https://www.linkedin.com/in/nataliestpierre/

 

Patricia Gautrin – Phd student in Ethics of artificial intelligence & President of Intelligence NAPSE inc

Passionate about both technology and philosophy, after 20 years of career in marketing, I orient my thoughts to fulfill a social mission dear to my heart: ethics of artificial intelligence. Currently a doctoral student at the University of Montreal, I am working on the development of AI standards. Through my entrepreneurial spirit and my constant creativity, I have participated in the development and marketing of numerous software. My professional activities and my interpersonal skills have allowed me to develop a solid business network at the source of several contracts or partnerships.

Intelligence NAPSE inc.: Canadian start-up which aims to be a place of business and networking in AI, support for funding tools and the incubator of responsible AI certifications.

https://www.linkedin.com/in/patriciagautrin/

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On Wednesday, Dec 9th at 3 pm (CET) the Speaker:

Qiwei Han (Assistant Professor of Data Science and Business Analytics at Nova School of Business and Economics (Nova SBE), Portugal

 

with his talk on:

The Effect of Product Placement on Shopping Behavior at the Point of Purchase:  Evidence From Randomized Experiment Using Video”

 

Abstract:

Physical retailers are increasingly trying to understand in-store shopping behavior in order to increase sales. However, measuring and analyzing shopper behavior at the point of purchase remains challenging. In this paper, we implement an in-vivo randomized field experiment in a physical bookstore. We leverage video tracking technologies to monitor how shoppers respond to random book placement, which induces random search costs. We use advanced 3D cameras and vision understanding algorithms that can track human motions in real-time to overcome the large costs associated to large-scale video data. Experimental results show that on an average day books placed at the edge of the table are both picked and taken more often by consumers than books placed in the center of the table. However, the likelihood of taking a book that was previously picked is on average similar for all books. Therefore, search costs in our physical setting are essentially shaping the search decisions of consumers and they are sunk for the purchase decisions.

Bio:

Qiwei Han is currently an Assistant Professor of Data Science and Business Analytics at Nova School of Business and Economics (Nova SBE), Portugal. He is an affiliated faculty with the Data Science Knowledge Center of Nova SBE. He received Ph.D. in Engineering and Public Policy and M.S. in Information Networking from Carnegie Mellon University. His research is at the intersection of econometrics and machine learning, using complex data-driven approaches on a variety of projects with societal impacts. He served as the Technical Mentor for Data Science for Social Good Europe program jointly offered by Nova SBE and the University of Chicago in 2017 and 2018. His research appeared in data science and information systems conferences and received the Best Paper Award from International Conference on Social Computing.

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On Dec 2nd, 2020 at 3 pm the AI4Media@AI4EU Cafe presents:

the Speaker Ioannis (Yiannis) Kompatsiaris (Research Director at CERTH-ITI, Greece) and Coordinator of AI4Media Project with his talk: “A European Excellence Centre for Media, Society and Democracy”.

 

Abstract: 

Motivated by the challenges, risks and opportunities that the widespread use of artificial intelligence (AI) has brought to the media, society and politics, the EU-funded AI4Media project aspires to establish a centre of excellence and a wide network of researchers across Europe and beyond. Its focus will be on delivering the next generation of core AI advances to serve the key sector of media, making sure that European values surrounding ethical and trustworthy AI are embedded in future AI deployments. The project will be supplemented by a funding framework, a PhD programme and a set of use cases to demonstrate the impact of the actions taken on the media sector. 

Bio:

Dr. Ioannis (Yiannis) Kompatsiaris is a Research Director at CERTH-ITI, the Head of Multimedia Knowledge and Social Media Analytics Laboratory and Deputy Director of the Institute. His research interests include machine learning and AI, multimedia, big data and social media analytics, semantics, human computer interfaces (AR and BCI), eHealth, security and culture applications. He is the co-author of 171 papers in refereed journals, 63 book chapters, 8 patents and more than 500 papers in international conferences. Since 2001, Dr. Kompatsiaris has participated in 89 National and European research programs, in 18 of which he has been the Project Coordinator. He has also been the PI in 14 research collaborations with industry including Motorola US and UK. He has been the co-chair of various international conferences and workshops including the 13th IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018) Workshop and has served as a regular reviewer, associate and guest editor for a number of journals and conferences currently being an associate editor of IEEE Transactions on Image Processing and of the Big Data Journal. He is a member of the Scientific Advisory Board of the CHIST-ERA funding programme, an elected member of the IEEE Image, Video and Multidimensional Signal Processing - Technical Committee (IVMSP - TC), a Senior Member of IEEE and member of ACM.  Since January 2014, he is a co-founder of the Infalia private company, a high-tech SME focusing on data intensive web services and applications. 

 

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AI4EU Cafe will present on Dec 3rd 2020, at 3 pm the two Speakers Urszula Sobek (Fundingbox) and Jordi Iparraguirre (EURid) with their talk: “Discover how to get up to €10k in the AI4EU Call for Challenges and how EURid uses AI”.

Discover how to get up to €10k in the AI4EU Call for Challenges and how EURid uses AI

Talk description: Urszula Sobek from Fundingbox will speak about the founding opportunities that AI4EU can bring to the AI community and European Industry in general. Urszula will introduce the Open Call for Challenges details and explain how to get €10k for solving the challenge with AI.
BIO: Urszula Sobek, Project Manager at Fundingbox Accelerator. Master of Economy by University of Information Technology and Management in Rzeszów, the faculty of European Study (2008). Since 2004, she has been involved in innovation, IT, R&D and startup related projects on national and international scale, obtaining over 30 million Euros for external clients. Currently she works as Project Manager in AI4EU (2019-2021) and ELISE (2020-2022).
How EURid uses AI:
Talk description: Jordi Iparraguirre, Director of Innovation at EURid, will speak on the application of AI in a small company. His presentation will focus on what is EURid, the registry of the .eu Internet domain, doing with artificial intelligence. He will reveal how small and medium-sized companies can also develop and use AI based solutions. He will explain how EURid uses AI to help detecting abuse on the internet or to automatically classify web pages.
Bio: Jordi Iparraguirre is a Computer Science engineer and holds an MBA. He has developed technical and executive functions in different countries for a consumer electronics multinational. Former director of an small Internet domain registry, now, Director of Innovation at EURid, the registry of the .eu domain, he is focused on developing and leading, amongst others, projects around data mining and machine learning.  

 

 

 

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On Nov 24th at 3 pm (CET)

The AI4EU Cafe presents

The way towards the European “AI, Data and Robotic Partnership”

The Speaker is: Thomas Hahn (Chief Software Expert at Siemens AG)

 

Description: The AI, Data and Robotics Public Private Partnership (PPP) is a candidate contractual Public Private Partnership under the Horizon Europe Programme. The Vision of the Partnership is to boost European competitiveness, societal wellbeing and environmental aspects to lead the world in researching, developing and deploying value-driven trustworthy AI, Data and Robotics based on European fundamental rights, principles and values. In this talk, I will give an overview of the Partnerships as well as cover the Strategic Research, Innovation and Deployment Agenda (SRIDA) that defines the vision, overall goals, main technical and non-technical priorities, investment areas and a research, innovation and deployment roadmap for this new European Public Private Partnership. Nobody can do this alone! We doing this together with major European activities for AI (Claire, Ellis, EurAI), Data (BDVA) and Robotics (euRobotics) and setting up cooperation with other major European and regional initiatives.

BIO: Thomas Hahn has been Chief Software Expert at Siemens AG since 2011. After studying computer science at Friedrich-Alexander University of Erlangen he joined the company in 1986 and worked as a product developer in the field of industrial networks in Erlangen. In 1993 he moved to Nuremberg, where he worked in product management for SIMATIC and as a project manager responsible for development of SIMATIC STEP 7. From 1997 he worked as Head of Development at Traffic Control Systems in Munich for two years. In 1999 he returned to Nuremberg, where he was Head of Software Development for Industrial Automation Systems. He held this post until 2011. In addition to his function as Chief Software Expert, he was Head of the Business Analytics and Monitoring technology field from 2011 to August 2013. Beyond his activities at Siemens, Thomas Hahn is a member or board member of various bodies, including Openlab CERN and steering committee Plattform Industrie 4.0. 

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On Nov 18th at 3 pm (CET)

The AI4EU Cafe presents

"Approaches and lessons for trustworthy, human-center AI"

The Speaker is: Stoney Trent, Ph.D.  Research Professor and Principal Advisor for Research and Innovation, Virginia Tech, USA

Abstract:  Recent successes and shortcomings of AI implementations have highlighted the importance of understanding how to design and interpret trustworthiness.  AI Assurance is becoming a popular objective for some stakeholders, however, assurance and trustworthiness are context sensitive concepts that rely not only on software performance and cybersecurity, but also on human-centered design.  This talk summarizes lessons from the stand up of the Defense Department’s Joint AI Center and offers recommendations for resilient AI engineering.  It also introduces a new program in the Commonwealth Cyber Initiative to create an “AI Commons” where technologists and non-technologists can collaborate to develop and demonstrate trustworthy AI.

Bio: Stoney is a Cognitive Engineer and Military Intelligence and Cyber Warfare veteran, who specializes in leading new interdisciplinary initiatives.  Prior to joining VT, Stoney designed and secured over $350M to stand up the Joint Artificial Intelligence Center (JAIC) for the Department of Defense.  As the Chief of Missions in the JAIC, Stoney established product lines to deliver human-centered AI to improve warfighting and business functions in the world’s largest bureaucracy.  Previously, he established and directed U.S. Cyber Command’s $50M applied research lab, which develops and assesses products for the Cyber Mission Force.  Stoney has served as a Strategic Policy Research Fellow with the RAND Arroyo Center and is a former Assistant Professor in the Department of Behavioral Science and Leadership at the United States Military Academy.   He has served in combat and stability operations in Iraq, Kosovo, Germany, and Korea.  Stoney is a graduate of the Army War College and former Cyber Fellow at the National Security Agency.

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On Nov 11th at 3 pm (CET) 

The AI4EU Cafe presents:

"“Artificial Intelligence Essentials for Business Leaders”"

The Speaker is: Bhagirath Kumar Lader, Chief Manager (Business Information System) at GAIL (India) Limited, a global Oil & Gas major, India with his talk on:“Artificial Intelligence Essentials for Business Leaders”
This talk will be one hour online presentation with following topics:
1.    Analytics Journey
2.    Breaking the Analytics Wall
3.    Artificial Intelligence Essentials
4.    Machine Learning Essentials – Supervised, Unsupervised, Reinforcement Learning
5.    Deep Learning Essentials
6.    Artificial Intelligence, Machine Learning and Deep Learning – How to Distinguish between Hype and Reality
7.    Artificial Intelligence Applications for Business
8.    Conclusion and Q&A
Bio:
I am Bhagirath Kumar Lader from India, a computer science graduate from reputed Indian Institute of Technology, Delhi and a PGDM from reputed Indian Institute of Management, Lucknow. Presently, I am working as Chief Manager (Business Information System) at GAIL (India) Limited, a global Oil & Gas major. My role in the organization is that of a Digital Transformation Strategist. My linkedin profile URL is given below:
 https://www.linkedin.com/in/bhagirathl 
 

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On Nov 4th 2020 at 3 pm 

The AI4EU Cafe presents: 

"Artificial Intelligence for Making Products and Solutions Smarter"

The Speaker is: Iker Esnaola (Coordinator of the Artificial Intelligence in TEKNIKER )
The description of the talk: Although the Artificial Intelligence is nothing new, currently it is experiencing an upsurge that can be attributed to advances in computing and the increasing availability of data. In TEKNIKER, our vast experience of nearly 40 years in different domains is combined with Artificial Intelligence technologies ranging from machine learning to knowledge representation, towards making products and solutions smarter. This talk will focus on success stories in different domains including manufacturing, energy, agriculture and health.

CV: Iker holds a Computer Engineering degree and a Master in Advanced Computer Systems, both at the University of the Basque Country (Spain). He received his PhD Cum Laude in Computer Engineering in the University of the Basque Country, distinguished with the Mention of Excellence by the Spanish Education Ministry. His thesis contributed to the use of Semantic Technologies to support Predictive Analytics processes. He has several publications in workshops, international conferences and high-impact journals, he has been part of different Program Committees and he has participated in many EU-funded research projects. Iker currently is the Coordinator of the Artificial Intelligence in TEKNIKER and works as a Researcher in the Intelligent Systems Unit.
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On Nov 3rd 2020 at 3 pm 

The AI4Media@AI4EU Cafe presents: 

"Face de-identification for privacy protection"

The Speaker is: Prof. Ioannis Pitas (Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab)
Abstract:  Privacy protection is a very important issue, in the context of social media and GDPR. This lecture overviews the face de-identification problem from an engineering perceptive. In principle, face de-identification methods aim on calculating an affine or a non-linear transformation to an input facial image, so that the depicted person identity is no longer recognized by humans or automated human analysis tools. Traditional applications in the media mainly involve applying additive noise (e.g., pixilation, blurring) or reconstruction-based techniques on the facial image region, achieving sufficient de-identification performance at the expense of corroding image quality. Recently proposed deep learning-based generative methods for face de-identification promise excellent de-identification performance against automated tools while producing visually pleasing yet still not useful images for the human viewers. Finally, adversarial-based face de-identification methods optimally generate the minimum required additive noise that disables automated face detection/recognition systems, thus the de-identified images maintain maximal utility for human viewers.
Bio:
Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.
His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. 

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On Oct 28th 2020 at 3 pm 

The AI4EU Cafe presents: 

"Energy-efficient AI, a perspective from the LEGaTO project"

The 4 Speakers are:

Osman  S.  Unsal:    Osman  co-leads  the  Computer  Architecture  for  Parallel  Paradigms 
research  group  at  Barcelona  Supercomputing  Center.    

 Pirah Noor Soomro (Chalmers University)

Nils Kucza: Nils Kucza is working in the research group Cognitronics and Sensor Systems, Center of Excellence Cognitive Interaction Technology, Bielefeld University, as a research associate since 2017.

Hans Salomonsson: Hans is the CEO and co-founder of EmbeDL.

Description of the talk:
They will introduce the LEGaTO project and give an overview of the energy-saving theme of the project and will introduce the AI use-cases in the project

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On Tuesday, Oct 21st the AI4EU Café is proud to present to you:

The AI4EU Cafe is proud to present live the Speaker: Stefan Göllner (Innovation manager at Stifterverband, Berlin)

with his talk: AI Campus – the Learning Platform for Artificial Intelligence

Description:
AI Campus is a learning platform especially focussing three kind of learners – university students, lifelong learners, and working professionals – with the aim of providing them with a diverse selection of high-quality AI learning opportunities all in one place. The content of the AI Campus consists of two pillars: Own learning opportunities (AI Campus Originals) and Curated learning opportunities (External). By 2022, our partners will develop learning opportunities on different topics specifically for the AI Campus (“AI Campus Originals”). These include massive open online courses (MOOCs), videos, podcasts and many other formats catering to the needs of a diverse learning community. AI Campus is a project funded by the German Federal Ministry of Education and Research (BMBF) focused on developing a prototype for a digital learning platform specifically geared towards AI. Since October 2019, AI Campus has been jointly developed by the Stifterverband, the German Research Centre for Artificial Intelligence (DFKI), the Hasso Plattner Institute (HPI), NEOCOSMO, and the mmb Institute, and a beta version was released in July 2020. 
Bio:
Stefan Göllner worked for many years as a researcher and designer in innovation oriented R&D projects focused on ICT (Academy of Media Arts Cologne, Telekom Laboratories, Academy for the Arts Berlin). As an innovation manager at Stifterverband he now supports the development and roll out of AI-Campus  aiming to become Germans leading provider for open educational resources in the field of Artificial Intelligence. In AI-ExpertLabs he brings together key actors in different application fields to define what is needed to improve AI education and to blueprint a next generation of AI supported learning management systems.

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On Oct 22nd  the AI4EU Cafe is proud to present the Speaker:

Klaus Heine (Professor of Law and Economics at the Erasmus School of Law in Rotterdam)

with his talk on "AI and legal personality"

 

Abstract:  AI’s mimic human like decisions, but they are no humans. This raises the question about the legal status of AI’s. Is it appropriate to grant AI’s the status of a distinct legal person to which responsibility and legal obligations can be attributed? What is the advantage for doing so? This lecture shall map some of the pending questions and stimulate an out of the box discussion.

Bio: 
Klaus Heine is Professor of Law and Economics at the Erasmus School of Law in Rotterdam. His research is recognized by an international audience through presentations at numerous international conferences and publishing in leading journals in the respective fields. He was awarded a Jean Monnet Chair of Economic Analysis of European Law (www.klausheine.eu) in June 2012. In 2019 he became the director of the Jean Monnet Centre of Excellence on Digital Governance (www.DIGOV.eu). The Centre is a joint initiative of Erasmus University Rotterdam, Bar-Ilan University and the University of Leeds. The Centre seeks for new institutional solutions for the disruptive challenges from digitalization. Since 2019 he is also one of the directors of the Erasmus Centre for Data Analytics (ECDA). He is a member of Plattform Lernende Systeme of the German government (www.plattform-lernende-systeme.de) and he is associated with the Dutch AI Coalition (www.nlaic.com). 

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On Tuesday, Oct 13th the AI4EU Café is proud to present to you

Damiaan Zwietering, the IBM specialist dedicated to achieving real world results with his talk on: Solving for COVID

 

Please register here:
https://attendee.gotowebinar.com/register/7228493316181532683

Here you find the AI4EU WEBCAFE – INFORMATION LEGAL NOTICE

https://drive.google.com/file/d/13DugkyUQ8dqNVhqsjZdLQJVu5lw4Wfzc/view?usp=sharing

What is his talk about:

Working from home in April with my wife nursing COVID patients in full isolation I wondered, how can I help? Being a data scientist for over 25 years, I just fired up my AI environment and solved... oh wait, does it actually work this way? What started out as an exploration of COVID data became an interesting reality check on the status of AI. In this session I would like to share my exploration, curve fitting, modeling and mapping with you, no slides, just live code and interaction. This will provide you an insight into the daily practice of data science and a straightforward story from my own experience on the application of AI, machine learning and statistics.

Bio:

Damiaan Zwietering is an IBM specialist dedicated to achieving real world results innovating with information. He was a developer, consultant, architect and sales engineer in the area of data warehousing, business intelligence and advanced analytics before his current position as a developer advocate for data science, specializing in the practical application of machine learning and artificial intelligence.

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On Oct 15 he AI4EU Café is proud to present to you live the Speaker : Christèle Tarnec (Orange Labs)
with her talk on "Ethics by design in AI :  Guidelines and toolkits to develop fair & explainable models"

Registration link: https://attendee.gotowebinar.com/register/8986909277204944400

Description:
I will share with you an analysis of existing tools and toolkits to help data scientists design fair and explainable AI models. A particular focus will be done on IBM toolkit AIF360 (70 metrics and 11 bias mitigation algorithms) and AIX360 (9 algorithm to explain AI models). This work has been done with Hugo Miralles (a student from UPC School Barcelona/Ecole Centrale de Nantes-France).  

Short bio:
I have been working in Orange Labs for 17 years. With a business school background, I have been involved in many projects (IoT, smart cities, Data management platform, Ethics by design in AI) .
I always have an Innovation Management approach that considers technologies will enhance services for users. With fellow engineers, we have been studying for 18 months the ethical issues that any data scientist can face during the construction of AI services and how to start using ethics by design methodology to support them. 
In spring 2020 with two colleagues among whom a student from UPC School Barcelona/Ecole Centrale de Nantes-France, we studied the different open source tools available to develop fair and explainable models . IBM toolkit offers the most functionalities and we studied it in detail. This web café will be an opportunity to share with you our analysis,  exchange on what remains to be done and share your practices.

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On Oct 7th the AI4EU Cafe was proud to present live the Speaker

Sheila Beladinejad

(Global Head of Partnerships for Women in AI)

with her talk on:

“Accelerating AI for Women”

on October 7th at 3 pm

 

 

What is her talk about: How do we address the disparity of women in artificial intelligence from an educational and entrepreneurship perspective?

Short CV: 

I am the founder and CEO of O Canada Tech. I have 20+ years of experience in Software Engineering with a special interest and expertise in Artificial Intelligence evaluation. I help Private Equity firms going through the merger and acquisition process by providing technical due diligence assessments of the target companies’ software infrastructure. Additionally, I work with executive management teams of technology companies to define and execute strategic roadmaps for digital transformation and adoption of AI. I am the Global Head of Partnerships for Women in AI & the Ambassador of Munich. I also have an advisory role for Greentech Alliance non-profit organization.

 

Past Experience

As a software engineer with a degree in industrial engineering and over 20 years of experience, I have worked on major initiatives in the telecommunication industry responsible for launching new products and services on the technical side from end-to-end, such as 4G migration, RCS solution, and Billing software. Additionally, I have worked on multi-million acquisitions in Europe, Canada, and the United States conducting technical due diligence, assessing the technical architecture, IT infrastructure, and agility of the target companies. Furthermore, I work with C-level executives of companies to define and execute strategic plans for Digital Transformation, Cloud Migration, next-gen Architecture, and adoption of Artificial Intelligence. My experience spans many industries such as Telecom, Healthcare, Manufacturing, and Education. In recent years I have worked in Industry 4.0 related projects with a focus on IoT and Artificial Intelligence.

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 On Sep 16th, 2020 at 3 pm

Wouter Denayer (CTO IBM Belgium) with his talk on "the future of AI"

The recording link

https://youtu.be/JqektWuUWvA

abstract:  if you wonder what is next in the evolution towards general AI then this session is for you. We have seen some painful failures of artificial intelligence pointing to a lack of 'common sense'. Are neural networks really the solution we seek or is a new path needed? Find out what IBM Research is cooking in terms of hardware and software in the never ending quest towards General AI.
 
bio: Wouter is a technology optimist. He is on a mission to strip away both hype and fear surrounding Artificial Intelligence, so that its true potential for society and business can be realised. With a degree in linguistics & literature to balance his inner geek, he architects IT solutions that actually deliver their promised value. As CTO for IBM Belgium, he feels privileged every day to work with a diverse and global team of wonderful colleagues.

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I was delighted to present to you in the AI4EU Café on July 16th at 3 pm

Gonzalo Izaguirre. (Data Scientist for Banking sector at BOSONIT) 
 and
Miguel García. (Director of Innovation at BOSONIT, Spain

with their talk on:
How AI can help you deal with the admin burden of your company

Description
Our AI team is currently working in a solution for automatic document recognition and validation which is currently being used by a major bank in Spain but that will be packaged for a SME solution. The solution as such counts with a number of OCR, image recognition algorithms which are a major breakout in how documents and fill-in papers are currently handled by all sorts of organisations. We will present a use case called “How AI is helping companies to deal with massive admin-workloads or alike?” We will talk about this use case, mention state-of-the-art technologies involved and also mention actual impact that a project like this can have from a business perspective.
CVs:
Mr Gonzalo Izaguirre. Data Scientist for Banking sector at BOSONIT. BSc in Physics at University of Zaragoza and currently studying a MSc in Artificial Intelligence at UNED. He has an experience of around 3 years in IT innovative projects, working with banking and insurance leading companies. Most of them oriented to help clients with digital transformation. Having worked for Big4s during 2 years, for the last year and a half he has been working at Bosonit as a Data Scientist, involved in the maintenance and improvement of a cognitive platform that processes and extracts information from the documents needed for mortgage granting, automating the workflow.
LinkedIn: https://www.linkedin.com/in/gizaguirre/

Mr Miguel García. Director of Innovation at Bosonit. BEng Industrial Organisation and BSci Computing at University of Deusto. He has an experience of over 10 years in R&D projects through a number of H2020 and FP7 projects. He has coordinated four EU projects (FIWARE Finodex, IRS).

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On July 15th the AI4EU Cafe presented:

Rob van Kranenburg (Founder of Council_IoT and #iotday)

with his talk on:

Disposable Identities are Elemental(s) in IoT

Description of his talk:

We agree that we cannot go back, into an analogue world of no digital connectivity. We agree we cannot go forward with our current notions of identity and decision- making systems. We realize that the political power issue is not identity, but taxes. Identity in the hands of non-state actors is the end of the business model of the state. The issue is thus extremely explosive and vital as it touches the heart of society and its workings. As citizens we have a choice. We never had more agency as non-formal but potentially systemic actors. We can be the spider in the web. This implies that all end connections of the web have a clear view on our full personalities. Or we can build our desired connected world, not on the endpoints but on the intentionally combined (if ‘you’ consent) separate connections with each and every endpoint (any service).

CV:

Rob van Kranenburg (1964) is the Founder of Council_IoT and #iotday He wrote The Internet of Things. A critique of ambient technology and the all-seeing network of RFID, Network Notebooks 02, Institute of Network Cultures. He works as Ecosystem Manager for the EU projects Tagitsmart and Next Generation Internet.

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 Our AI4EU Café session on June 24th:

Speaker: Martin Welß

(Senior AI Solution Architect for Fraunhofer IAIS in Germany)

with his talk on:

Composing AI Pipelines with AI4EU Experiments

Description of his talk: In his talk Martin will show how to onboard AI tools as re-usable building blocks that then can be used to easily compose AI pipelines in the AI4EU Experiments visual editor. He will also explain how to package a tool for onboarding and how to work on pipelines in teams.

CV: Martin works as Senior AI Solution Architect for Fraunhofer IAIS in Germany. He has more than 25 years expierence in developing Java Enterprise Applications and DevOps on Linux in different roles like developer, architect or Scrum Master. For Fraunhofer he works now in the AI4EU project mainly on AI4EU Experiments and the publication process.

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Next I would like to invite you to our special AI4EU Café on

on Tuesday, June 23rd at 3 pm

Title: COVID-19 AND CONTACT TRACING APPS

Please register here:
https://attendee.gotowebinar.com/register/7884589493590730253

This time the Café session will be a new multi-presenter format with exciting Speakers from the current European ICT research projects AI4EU (www.ai4eu.eu) and Helios (https://helios-h2020.eu//) as well as Guest Speakers.

Please join our special event with an audience survey on this hot topic. At the end of the Café session you may share with us your opinion in an anonymous survey, what you think about contact tracing apps in respect to trust and privacy.

I am delighted to present to you these following Speakers at this next Café session:

Teresa Scantamburlo from European Centre for Living Technologies

with her talk on:

The AI4EU Observatory for the covid-19 crisis

Description of her talk: In this brief presentation, I will introduce how the AI4EU Observatory on Society and AI is contributing to the critical analysis of tech solutions to the covid-19 crisis. In particular, I will sketch out the research process and the collaborative efforts resulted in a working paper available on arxiv

Short bio: Teresa Scantamburlo is a post-doctoral fellow at the European Centre for Living Technology (ECLT), Ca'Foscari University (Venice, Italy). Before that she was appointed as a research associate at the University of Bristol. Her main research interests include the ethical assessment of AI applications and the interaction between people and AI systems.

---------------------

Atia Cortes

from Barcelona Supercomputing Center

with her talk on

Covid-19: technical solutions and the response from society

Description of her talk: In this brief presentation, I will describe the structure of our working paper published on arxiv.  In addition, I will introduce the main research questions that we wanted to answer in this work:

  • Which are the different technical solutions that are being developed by public and private institutions?
  • What are the ethical and legal boundaries to be aligned with European regulations and the concept of Trustworthiness?
  • How is the society responding to such initiatives?

 

Short bio: Atia Cortés is a computer scientist engineer with a MsC and a PhD in Artificial Intelligence. She is a post-doctoral fellow at the Barcelona Supercomputing Center. Before that, she was an assistant professor and a researcher at the Universitat Politècnica de Catalunya, where she was involved in several EU funded projects related to AI solutions for healthcare.

---------------

Pierre Dewitte
from Katholieke Universiteit Leuven

and

Daphné Van Der Eycken

from Katholieke Universiteit Leuven

Title: The implications of digital contact tracing solutions in light of EU data protection law

 

Description: You will hear about the general principle governing the processing of personal data and how they influence the design and functioning of a privacy-preserving approach towards contact tracing'.

 

Pierre’s short CV: Pierre Dewitte (1993, Brussels) obtained his Bachelor and Master degree of Laws with a specialization in Corporate and Intellectual Property law from the Université Catholique de Louvain in 2016. As part of his Master program, he spent six month in the University of Helsinki where he strengthened his knowledge in European law. In 2017, he completed the advanced Master of Intellectual Property and ICT law at the KU Leuven with a special focus on privacy, data protection and electronic communications law.

Pierre joined the KU Leuven Centre for IT & IP in October 2017 where he conducts interdisciplinary research on privacy engineering, smart cities and algorithmic transparency. Among other initiatives, his main research track seeks to bridge the gap between software engineering practices and data protection regulations by creating a common conceptual framework for both disciplines and providing decision and trade-off support for technical and organizational mitigation strategies in the software development life-cycle.

 

Daphne’s short CV: Daphné Van der Eycken holds a Master in Laws from Ghent University, with a particular focus on IP, IT and European Economic Law (2019, magna cum laude). She is currently working as an academic researcher at KUL CiTiP and pursuing an advanced LL.M. degree from Liège University, with a particular focus on EU Competition and IP Law.

-------------------

Ville Ollikainen

 from VTT Technical Research Centre of Finland

with his talk on:

Tracing encounters instead of tracing people

Description: In order to prevent new outbreaks, it is essential to trace potential carriers of the virus. For this purpose, mobile technologies provide the most prominent solution, since mobile devices are typically present, where viruses are transmitted in human-human encounters. This presentation unveils an approach that keeps users persistently unidentified. Consequently, there is no kind of a registration (no mobile number or other persistent identifier), that could introduce privacy issues. Instead of having focus on tracing people, the approach has a focus on tracing individual encounters.

 

CV: Mr. Ville Ollikainen received his M.Sc. degree in Technical Physics in 1989 from Helsinki University of Technology with an academic minor and 2.5-year employment in the laboratory of Industrial Psychology. He worked previously at Technical R&D of MTV Finland with the main responsibility for developing broadcast automation, regional advertising systems and interactive teletext services. Mr. Ollikainen has been working at VTT Technical Research Centre of Finland as a senior scientist focusing on media integration, the field of his doctorate thesis planned for the near future. In this role, he has since 1999 contiguously participated in projects related to new media technologies, excluding a period of entrepreneurship: he was one of the main inventors behind Envault Corporation Oy, a data security company he was establishing in 2007. His current activities include privacy preserving recommendation systems, privacy-by-design targeted advertising and social networking services, most recently coordinating a European Union's Horizon 2020 funded project HELIOS (grant #825585), developing a novel peer-to-peer platform for privacy-enabled social media. Closely related to the topics of privacy, Mr. Ollikainen works today in Applied Cryptography research team at VTT.

-------------------------

Barbara Guidi
from University of Pisa
with her talk on:

The decentralization of Social Media

Description: Social Media like Facebook, Twitter, Instagram, etc., are used extensively for the purpose of communication, and they represent platforms where people share private information every day. During the first phase of COVID-19, people constricted to a forced quarantine, used them to communicate and to know information about the world. They gave us a simple way to be part of a big small world affected by the virus.

However, it is well-known the main problem of Social Media concerning privacy and fake news. For this reason, people are thinking of a new concept of Social Media which takes into account the decentralization of Social Services.

Decentralization is today one of the most important concepts, not only for Social Media but also for our health. The COVID tracing apps are decentralized, only to suggest an application. What is the meaning of decentralization, and what is the future of Social Media? Have the current decentralized Social Media a big impact on the web? What are the main available approaches?

CV: Barbara Guidi is currently an Assistant Professor at the Department of Computer Science of the University of Pisa. She received her B.Sc. and M.Sc. in Computer Science from the University of Pisa, Italy, in 2007 and 2011, respectively. She received her Ph.D. degree in Computer Science from the University of Pisa, in 2015. In 2014, during her Ph.D., she was a visitor at the Heinrich Heine University of Dusseldorf. She was a Co-Chair for the conference EAI GoodTechs 2017, and Co-Chair of several workshops.

She has been involved in the TPC of several international conferences and workshops, and has been a reviewer for relevant scientific journals. She received three Best Paper Awards: at the International Conference DCNET 2013, at the workshop LSDVE 2017, and at LSDVE 2018. She is part of the UNIPI Team in the H2020 HELIOS project. Her current research interests include distributed systems, P2P networks, complex networks, Social Network Analysis, Decentralized Online Social Networks, dynamic community detection, and the Blockchain technology.

----------------------

Kevin Koidl
from Trinity College Dublin
with his talk on:

Proximity and trust in hyperlocal social networks

 

Description: I will discuss the impact of virus on society from a digital perspective focusing on how it has changed our way of communicating. As example I will present the HELIOSPHERE concept that implements a hybrid approach to communication by using state of the art AI and camera technology

 

Short CV: Kevin Koidl is a Research Fellow at Trinity College Dublin. His research interests are Social Technologies, Machine Learning and Natural Language Processing.

--------------------------

Symeon (Akis) Papadopoulos
 
from Centre for Research and Technology Hellas (CERTH)
with his talk on:

The relation between COVID-19
disinformation and contact tracing

 

Abstract: One of the key features of the COVID-19 pandemic is the proliferation of online disinformation at an unprecedented volume and speed. Coupled with the rapid developments in COVID-19 science and medicine and the constant update of our knowledge with new facts, the current infodemic has created a fertile ground where scientific authority is challenged and trust on experts and governments erodes. In this short talk, I will argue that this situation could greatly affect in a negative way the impact of contact tracing apps, which, to a great extent, rely on the public's trust and wide adoption, in order to be effective. This calls for special attention on the way contact tracing technologies should be communicated and discussed online.

Short CV: Dr. Symeon (Akis) Papadopoulos is a Senior Researcher at the Information Technologies Institute (ITI) of the Centre for Research and Technology Hellas (CERTH). Symeon has been involved as a Principal Investigator or key member of the CERTH team in a number of pioneering FP7 and H2020 projects, including SocialSensor, REVEAL, InVID, WeVerify and HELIOS. He has co-authored more than 150 peer-reviewed publications, co-edited two books, guest edited two Special Issues and co-organized several workshops and a summer school. Additionally, he is among the founders of a spin-off technology company (Infalia). During the recent years, he has been actively working in the fields of Web and social media mining and information retrieval, and more specifically on the challenge of online disinformation with a focus on the development of tools that help journalists and citizens to verify online media content.

------------------

 

Steen Rasmussen from University of Southern Denmark & Santa Fe Institute

with his talk on:

Dark numbers in the COVID-19 pandemic, testing and manual versus automated contact tracing 

 

Abstract: Due to insufficient testing capabilities early on in the COVID19 pandemic there is not yet consensus on which fraction of our populations were infected without knowing it although antibody blood tests are now helping us understand. There is not either consensus on the relative population sizes of the asymptomatic and symptomatic infected and which role each of them has in the spread of the pandemic. We provide estimates for the relative symptomatic versus asymptomatic populations in Denmark as well as their relative infectiousness. Our estimates are based on mathematical models and simulations that in turn are based on the most reliable data we have: occupation numbers for hospital and intensive care units as well as death toll. Based on our results we discuss the needed testing capabilities as the country opens up and further discuss under which conditions automated contact tracing, using COVID19 contact tracing apps on smartphones, may or may not be helpful.

Short CV: Professor in Physics and Center Director, University of Southern Denmark

External Research Professor, Santa Fe Institute (SFI), New Mexico, USA

Co-Founder and CTO, Transparent Internet, Spain and Denmark

Co-Founder and CEO, BINC Technologies. IVS

Dr. Rasmussen has worked for more than 30 year developing the science and technology underpinning living and intelligent processes at Universities and Laboratories across Europe and the USA and most recently also in companies. He has received many rewards for his work, starting in 1988 with P. Gorm-Petersens Mindelegat in the presence of Her Majesty the Queen, Margrethe II of Denmark, and most recently in 2018 with a Lifetime Achievement Award from the International Society for Artificial Life (ISAL). Since 2003 he has led international research initiatives across the US, EU and Denmark, and he has won more than $39M in competitive basic research grants to his home institutions and international research consortia. He is an author of 126 peer-reviewed scientific journal papers; he has written and edited 15 scientific books, proceedings and special journal issues; given 200+ invited talks, 140+ media interviews and he has made 30+ consulting & internal reports. His Erdös number is 2.

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-------------------------

On Wednesday , June 17th at 3 pm

Anna Franziska Michel

(CEO & Founder YOONA TECHNOLOGY)

with her talk on:

Fashion industry can not long resist new technologies any longer.
Will the fashion industry survive without AI?

Description:

Yooneeque has made digitalisation its motto. An artificial intelligence called YOONA is the fashion designer here. This time again during the Berlin Fashion Week the latest outputs of the software were presented.

CV:

 April 2015 - März 2019: Master of Arts in Fashion Design at University of Applied Science Berlin, awarded as Best Graduate with „yooneeque“

September 2012- May 2013 : Studying Fashion Design at Centro Superior de Diseño de Moda de Madrid (UPM), Spain

October 2010- March 2014: Bachelor of Arts in Fashion Design at University of Applied Science Berlin, with her final project awarded as Best Graduate and with the „New Blood Berlin Award“

September 2004- May 2006: Studying Fine Arts at Facultad de Bellas Artes de Universidad de Barcelona, Spain

January 2001- June 2001: Fine Arts at Victorian College of the Arts Melbourne, Australia

-------------------------------------

Our AI4EU Café is on June 10th, 2020 at 3 pm

Christopher Morton (CEO of ELEM)

with his talk on:

ELEM - The Virtual Humans Factory

Description of his talk

Harnessing the power of supercomputer and patient modelling to deliver unparallelled medical insights and predict treatment outcomes for patients.

Short bio: Specialising in emerging technology ventures and markets, Chris worked across mechanical industries (aero, auto, energy) before turning to health tech. With ELEM, Chris and his Co-Founder have taken up the challenge to deliver the most powerful and safe environment for medical trials by simulating human physiology on supercomputers. Prior to ELEM, Chris held executive roles at Atos and Sogeti HighTech (CapGemini), set up Altair France, founded and led Samtech UK until its acquisition by LMS, now Siemens. Chris has an international background, read Aeronautical Engineering at Imperial College and Business Studies at Hult IBS. He enjoys sports, finance, and politics and took a special interest in Grow Movement and mental health.

--------------------------

On Wednesday May 27th at 3 pm, I am delighted to announce to you:

 

Steen Rasmussen from University of Southern Denmark & Santa Fe Institute

with his talk on:

Title: The growing mismatch between our social structures and our new technologies.

Some conclusions from our workshops and working groups at the Lorentz Center and the Santa Fe Institute, 2015-2020.

 

What is Steen’s talk about:

The 21st century has thus far been characterized by a growing gap between physical and social technologies. Our physical technologies — automation, data collection, AI, and biotechnology — are accelerating as our social technologies — governments, market regulations, education, healthcare, and other social institutions — struggle to keep pace.

Physical technologies are tools for transforming matter, energy or information in pursuit of our goals while social technologies are tools for organizing people in pursuit of our goals. Under this definition, our social institutions, economy, and laws are technologies that, like physical technologies, can be studied and improved (Beinhocker, 2007). 

Several times throughout history, situations have emerged when our physical technology has outpaced our social technology. The industrial revolution is one recent example of such change, when new technologies harnessed new energy sources, created mass production capabilities as well as developed new means of communication, shifting the dynamics of labor and capital inputs and creating population upheaval, economic inequality, and social unrest. In response, new policies, laws, and systems of administration were created to help manage the impact of these new technologies, which all together have changed what it means to be human. 

Based on data starting about year 1200 till today I will give a historical perspective of the coevolution of our physical and social technologies and what it means for our development of wealth. One of the main conclusions of our study is that our definition of wealth likely will change in the foreseeable future (Sibani & Rasmussen, 2020). A more true measure of wealth is access to solutions for human problems and not as now the sum of the value of products and services at the market (Beinhocker, 2017). 

Then I’ll give a few examples from our studies regarding possible solutions to mitigate the current mismatch between our physical and social technologies:

(i) Cyberspace: by introducing democratic governance of our converging critical infrastructures (action at state level); by implementing local data storage (action at individual level). (ii) Businesses: by implementing ethical business models; by sharing part of the gains from automation to provide better access to solutions to human problems (action at company level supported by local/national government). (iii) Climate: by development of carbon neutral regions (action in a private public partnership). (iv) Narratives: by updating our big stories about how the world works and what is possible (action mainly by artists).

Short CV:

Co-Founder and CTO, Transparent Internet, Spain and Denmark

Co-Founder and CTO, BINC Technologies. LLC, New York, USA

Professor in Physics and Center Director, University of Southern Denmark

External Research Professor, Santa Fe Institute (SFI), New Mexico, USA

----------------------------------------

I am delighted to announce to you our first legal AI Expert in the Café:

Rubén Cano from Baker McKenzie, Madrid with his talk on:

Title: Legal boundaries and AI: an overview of the ecosystem

On Wednesday, on May 20th, 2020, at 3 pm

What is Ruben’s talk about:

Oftentimes, one of the purposes driving the conception of a legal system is to maintain a balance between innovation and social welfare, in a manner that technological development and economic growth serve societal purposes and needs. In order to achieve this balance, along with guidelines and recommendations, specific rights and limitations are set, which ultimately have an impact on which are the permitted acts and, as a consequence, the ability to carry out certain activities. The aim is to give a general overview of different legal regimes having an impact on the planning, development and deployment of Artificial Intelligence systems. This shall be done both from a theoretical and practical perspective in a way that potential legal risks or constraints may be identified and, eventually, mitigated. Once this has been done, a particular section will be devoted to analyze the main challenges for the Intellectual Property landscape revisiting its purpose, requirements for protection and enforcement.  

Short CV:

Rubén Cano is based in Madrid and works as an Intellectual Property - Information and Communications Technology Associate for Baker McKenzie. He studied Law and Business Administration at the University of Alicante and Panthéon-Sorbonne University and holds an LL.M. in Intellectual Property and Information Technology by the University of Alicante (Magister Lvcentinvs) and an LL.M. in Law of Internet Technology by Bocconi University. Apart from working as a lawyer he has worked as privacy-by-design legal expert for different institutions, is AI Responsible at CyberLaws and participates as a legal expert in different projects related to AI regulation.

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--------------------------

On Wendesday, on May 13th, 2020  at 3 pm

Title: George Boole (1815-1864), the father of computing.

The Speaker is: Crónán Ó Doibhlin (Head of Research Collections, University College Cork, Ireland)

Crónán 's talk is about:

The papers of George Boole (1815-1864), first Professor of Mathematics at Queen’s College Cork (University College Cork), are now housed in the Boole Library, University College, Cork. The inventor of Boolean logic, George Boole laid the foundations in the latter half of the nineteenth century for a system of mathematical expression which formed the basis for modern computing.

The collection consists mainly of personal letters to and from Boole which were collected by his sister Maryann, who had hoped one day to publish a biography of her famous brother. This archive offers us insights into the life of George Boole from the period immediately prior to his arrival in Cork in 1849, until his death in 1864.  Drafts of unpublished lectures dealing with such topics as astronomy, ancient mythology, education and one entitled "Are the Planets Inhabited?" are extant.

Boole’s letters home to his sister after his arrival in Ireland also contain valuable social information on the Cork of the mid-nineteenth century, in the wake of the Irish Famine.The insights Boole’s letters give into the world of nineteenth century academia can be amusing as well as informative

A section of the collection contains material relating to Boole’s wife, Mary Everest, (after whose uncle the world’s highest peak was named), and their five daughters. One daughter, Mary Ellen Hinton spent some years in Japan as a teacher at the close of the century. Her diary, which contains wonderful descriptions of the sights she saw and people she met, is preserved here. Another daughter, Ethel Lilian Voynich, was the author of the novel ‘The Gadfly’ which she wrote after an affair with the renowned secret agent, Sydney Reilly.

The Boole papers of UCC provide valuable information for social historians of the nineteenth century in Ireland, researchers interested in the development of Irish university and academic life, and researchers interested in both the development of Cork City and UCC. They provide a unique insight into the life and mind of one of the most brilliant and respected mathematicians of the nineteenth century.

This talk will give an overview of the collection and also outline plans for a collaborative project between The Royal Society, London, and the University of Lincoln, who both hold complementary Boole collections, to unite their collection virtually on a shared public platform.

CV:

Crónán Ó Doibhlin is the Head of Research Collections, University College Cork, Ireland.  He has been a member of UCC Library’s Senior Management Team since 2005 working closely with the Director of Library Services and the Director of Information Services (University Librarian), and was part of the team that delivered a €27m PRTLI funded redevelopment of UCC Library including the transformation of Special Collections and Archives. Crónán’s core responsibilities are in leading the strategic development, organisation and management of Collections Services (Acquisitions & Cataloguing) including library budgets.  He also supports the Director of Information Services & the Development Office with Alumni and External Relations including fundraising. He is a recent Alumni of the LIBER Emerging Leaders Programme (2017-18), and has also represented UCC Library on a number of national committees.

Crónán was previously Librarian of the Cardinal Ó Fiaich Library & Archive with responsibility for Diocesan Collections.  His primarily interests are in Gaelic Literature and manuscripts, and radical and avant-garde publishing.

His publications include:

“Clár Saothair – Diarmaid Ó Doibhlin” in Súgán an Ducháis aistí  ar ghnéithe de thraidisiún liteartha Chúige Uladh i gcuimhe ar Dhiarmaid Ó Doibhlin (eag). N. Mac Cathmhaoil, M. Nic Cathmhaoil & C. Mac Seáin (Guildhall Press, Derry) 2018.

“The Great Book of Ireland - Leabhar Mór na hÉireann” Art Libraries Journal, Volume 41, Issue 4, October

 

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On Wendesday, on May 6th, 2020  at 3 pm

Title: CANDELA EO Data Mining Tools: a tutorial

The Speaker is: Mihai Datcu (DLR, Germany)

 

Description of the talk:

With the advent of the Copernicus program with open and free Big Data access the Earth Observation (EO) application and service development domain is increasingly adopting Artificial Intelligence technologies. In the frame of the H2020 project Copernicus Access Platform Intermediate Layers Small Scale Demonstrator: CANDELA* are developed efficient data and information retrieval techniques and tools as Data Mining augmented with Machine Learning to create more value and subsequently economic growth and development of European members states. This is a tutorial of the CANDELA Data Mining tools. The presentation gives an insight of Machine Learning principles with focus on Active Learning implementing EO Data Mining functions. The CANDELA Data Mining tools are described and demonstrated for Sentinel 2 observations. The tools operate similarly for Sentinel 1.

_________________________

* www.candela-h2020.eu

 

Biography

Mihai Datcu received the M.S. and Ph.D. degrees in Electronics and Telecommunications from the University Politechnica Bucharest UPB, Romania, in 1978 and 1986. In 1999 he received the title Habilitation à diriger des recherches in Computer Science from University Louis Pasteur, Strasbourg, France. Currently he is Senior Scientist and Data Intelligence and Knowledge Discovery research group leader with the Remote Sensing Technology Institute (IMF) of the German Aerospace Center (DLR), Oberpfaffenhofen, and Professor with the Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, UPB. From 1992 to 2002 he had a longer Invited Professor assignment with the Swiss Federal Institute of Technology, ETH Zurich. From 2005 to 2013 he has been Professor holder of the DLR-CNES Chair at ParisTech, Paris Institute of Technology, Telecom Paris. His interests are in Data Science, Machine Learning and Artificial Intelligence, and Computational Imaging for space applications. He is involved in Big Data from Space European, ESA, NASA and national research programs and projects. He is a member of the ESA Big Data from Space Working Group. He received in 2006 the Best Paper Award, IEEE Geoscience and Remote Sensing Society Prize, in 2008 the National Order of Merit with the rank of Knight, for outstanding international research results, awarded by the President of Romania, and in 1987 the Romanian Academy Prize Traian Vuia for the development of SAADI image analysis system and activity in image processing. He is IEEE Fellow. He was awarded the 2017 Chaire d'excellence internationale Blaise Pascal for EO Data Science.

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On Wednesday, on April 29th, at 3:00 PM

Title: Towards robust and privacy-preserving AI

The Speaker is

Dr. Mathieu Sinn, IBM Research - Ireland

The direct link to the recording is on youtube: https://youtu.be/Y34VntIyJFk

Abstract: In this talk I will address recent work towards robust and privacy-preserving AI. Without any doubt, AI has tremendous potential to disrupt existing businesses, create innovation and help solving most complex societal and environmental problems. However, it also has been demonstrated that AI is vulnerable to different sorts of adversarial attacks, which puts at risk its deployment in mission-critical applications. Examples of such attacks are poisoning of training data, e.g. in order to introduce backdoors, or evasion attacks at test time to compromise the integrity of AI models. Another potential problem is the leaking of proprietary or personal information through the process of training AI models. I will show a demonstration of those threats on actual state-of-the-art image and text classifiers. As one of the efforts to address those threats, I will present two open source projects that have been created by my team: The Adversarial Robustness 360 Toolbox (https://github.com/IBM/adversarial-robustness-toolbox) and the Differential Privacy Library (https://github.com/IBM/differential-privacy-library). Finally, I will talk about the H2020 MUSKETEER project which aims at providing robust and privacy-preserving AI via a Federated Machine Learning approach, with real-world demonstrations on use cases from the Manufacturing/Automotive and Healthcare industries.

Short bio: Dr. Mathieu Sinn is a Research Staff Member and Manager of the AI, Security & Privacy group at the IBM Research lab in Dublin, Ireland. He has a Master's in Computer Science and a PhD in Mathematics from the University of Lubeck, Germany. He has worked on a large variety of fundamental and practical aspects of Machine Learning, with a recent focus on robustness of AI against adversarial threats. Mathieu is Data Science Thought Leader certified by The Open Group, regular reviewer for top AI conferences and has served as external PhD committee member on various occasions.
 

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Thursday, on April 22nd, at 3:00 PM

Title: Neural Networks Design and Deployment (N2D2) for embedded AI

The Speaker is

Christian Gamrat (CEA, France)

Abstract:

This presentation will give an overview on the N2D2 development platform and its use in the design of embedded AI systems. The talk will begin with some contextual elements and the rationale behind the development of the tool. In a second part the N2D2 design tool and its major features will be described together with a couple of application examples. In a third part, the embeddable neuromorphic accelerators PNEURO and DNEURO, developed at CEA, will be described together with their natural links with the N2D2 platform. Finally an overview at the future of N2D2 will be given.

 

BIO:

Christian Gamrat is chief scientist and CEA fellow in the fi eld of advanced computing architecture. Graduated from the University of Grenoble and ENSERG in Electrical Engineering and information processing, he began his career at CEA-Grenoble in 1981 on data processing projects for nuclear physics experiments. He got involved in the study of neural networks in 1987 and led the team for the MIND-1024 neurocomputer project in 1989. He joined CEA, Saclay in 1995 where he worked on the development of massively parallel computers for image processing. In 1997 he started an activity on recon figurable computing and later on initiated a research on novel computing paradigms aimed at nano technologies. Christian has coordinated several national and European funded projects and has contributed to more than 60 papers and book chapters.

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Wednesday, on April 21st, at 3:00 PM

Title: How to organize an online hackathon?

The Speaker is

Elena Poughia (Founder of Data Natives, Berlin)

Abstract:

What kind of methods, tools, ideas, strategies businesses can we use to grow? Join Elena Poughia for a live session to know how Data Natives refocuses and expands its activities to suit the needs of its global community of data scientists during physical distancing and global uncertainty. We’ll open the discussion for all participants to share thoughts, questions and experiences on managing the crisis.

Bio:

Elena is a creative and practical purpose-driven professional, with an entrepreneurial mindset and a demonstrated experience of working in art, tech and business in the last decade. She has worked for established galleries and pioneering institutions co-founded an events company and an art publication before founding Data Natives. She is particularly committed to supporting womxn and marginalized communities by helping them become established in tech professions. She is an analytical Thinker, Visionary, Speaker, Ecosystem Builder & Connector, enabling people to lead themselves. She has a multidisciplinary background with studies in Economics, Art History and Modern and Contemporary Art from British Universities.

The Guest Speaker is Sachin Gaur (India)
The title: Open Innovation experiences from India during COVID-19

Short Description: Cyber is a great equalizer. Unlike the offline events where we are constrained by the dimension of space in getting the quality and quantity of expertise to innovate, in cyber we don't. 

Short bio: Sachin Gaur is local coordinator for India EU ICT Standards Collaboration Project. 
He is double masters in mobile security and cryptography from Aalto University, Finland and University of Tartu, Estonia. He has been a keen technology innovator with 11 technology patents granted at USPTO. He has also contributed chapters in three books on Innovation and Healthcare. He received top 10 innovators award in India under IIGP 2013.
He is active in the space of mobile technologies and information security in the ICT and health sector with his ventures. In the past he has worked with organisations like Adobe India, C.E.R.N. Geneva and Aalto University, Finland.

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Wednesday, on April 15th, at 3:00 PM

Title: Linking Natural and Artificial Intelligence on the Web

The Speaker is

Fabien Gandon is a Research Director and Senior Researcher at Inria, France

The link to recording is 

 

https://www.gotostage.com/channel/ai4eucafe and youtube: https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ

 

Abstract: Initially, the Web was essentially perceived as a huge distributed library of linked pages, a worldwide documentary space for humans. In the mid-90s, with wikis and forums, the Web was re-opened in read-write mode and this paved the way to numerous new social media applications. The Web is now a space where three billions of users interact with billions of pages and numerous software. In parallel, extensions of the Web were developed and deployed to make it more and more machine friendly supporting the publication and consumption by software agents of worldwide linked data published on a semantic Web. As a result, the Web became a collaborative space for natural and artificial intelligence raising the problem of supporting these worldwide interactions. In particular, these hybrid communities require reconciling the formal semantics of computer science (e.g. logics, ontologies, typing systems, etc.) on which the Web architecture is built, with the soft semantics of people (e.g. posts, tags, status, etc.) on which the Web content is built. This talk will present some of the challenges and progresses in building this evolution of a Web toward a universal space to link many different kinds of intelligence.

 

Bio: Fabien Gandon is a Research Director and Senior Researcher at Inria, France. Fabien’s PhD in 2002 pioneered the joint use of distributed artificial intelligence (AI) and the Semantic Web to manage a variety of data sources and users above a Web architecture. Then, as a research project leader at Carnegie Mellon University (Pittsburgh, PA, USA), he proposed AI methods to enforce privacy preferences in querying and reasoning about personal data. In 2004, having been recruited as a researcher at Inria, he began to study models and algorithms to integrate social media and knowledge-based AI systems on the Web while keeping humans in the loop. In 2012 Fabien became the representative of Inria at W3C and founded Wimmics, a joint research team working on bridging social and formal semantics on the Web with AI methods. In 2017 he established and became the Director of the Joint Research Laboratory between Inria the Qwant search engine. The same year he also became responsible for the research convention between the Ministry of Culture and Inria with a special interest for cultural data and applications. In 2018 Fabien became Vice Head of Science for the research center of Inria Sophia Antipolis – Méditerranée. Over the years and since 2002, Fabien also never stopped teaching Semantic Web and Linked data, and he has authored several Massive Open Online Courses (MOOCs) on the topic.

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Thursday, on April 16th, 2020 at 3 pm

The CIIRC RP95-3D Protective Half-Mask - The Fast Track From Scientific Idea to The Real Production as The CIIRC’s Contribution in The Fight Against The Coronavirus Pandemic.

The Speakers are:

Vít Docˇkal is head of the Project Management Office (PMO) at at CIIRC

And

Pavel Burget, Head of Testbed for Industry 4.0 at CIIRC

and

the Guest Speaker:  Barbara Kieslinger (careables.org), with her presentation:  “Careables for COVID-19”

The recording you find here: https://www.gotostage.com/channel/ai4eucafe and youtube: https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ

Description of Presentation:

CIIRC CTU is entering the fight against COVID-19. At the RICAIP Centre of Excellence supported by EU resources, CIIRC CTU is developing a brand new prototype of safety half-mask under the name “CIIRC RP95”.

The goal is to make a prototype that can be produced anywhere in the world on the principles of distributed production. Distributed production allows to compensate the local lack of production capacities or resources.

CIIRC CTU researchers developed and certified the prototype of the advanced respirator “CIIRC RP95-3D” in just one week.

The CIIRC RP95-3D is a personal protective equipment – half-mask – with a P3 replacegeable external filter which has been certified as a kit according to EN 140:1999 norm. It meets the same or higher degree of protection as a FFP3 class respirator.

The mask can be reused thanks to proven sterilization and disinfection procedures. Sterilization of the half-mask is possible in a steam sterilizer (autoclave). The integrity of the mask after sterilization (in the National Reference Laboratory of the EAA) was successfully confirmed by subsequent testing at the Occupational Safety Research Institute.

Disinfection of the mask is possible by spraying with an alcohol-based disinfectant solution (85% ethanol). This procedure was verified in cooperation with the team of the Czech Society of Cardiology and their colleagues virologists. Please find more info under: https://www.ciirc.cvut.cz/covid-2/

CIIRC is also a visible actor in the AI domain –  CIIRC’s is involved in European AI research after successful evaluation of ICT48 calls.

 

CV:

Dr. Vít Docˇkal (M)    is head of the Project Management Office (PMO) at CIIRC which comprises agenda of the strategic project management responsible for project of e100M+. Since 2013 he had worked as the professional project manager at CIIRC. As the head of PMO he led the project team during the preparation of the very first strategical Project of CIIRC such as EDS Grant for the new CIIRC facility or OP RDE projects (Excellent Research Teams call of the ESIF-Operational Programme Research, Development and Education). Under H2020 Teaming of excellent research institutions and low performing RDI regions programme he led the successful proposal of Research  and  Innovation  Centre  on  Advanced  Industrial  Production  (RICAIP,  e50M).  Vít  Docˇkal  is  the  head of CLAIRE Prague Office, closely involved in CLAIRE’s engagement with industry and in supporting the AI ecosystem in Central and Eastern Europe.

In the years of 2009 – 2013 he had been leading the ICRC Project Management Office at St. Anne’s University Hospital in Brno– large R&D infrastructure funded by e180M from the ESIF and the state funds. He is experienced in R&D Project Management, soft skills and state-aid rules. Moreover, he received master degree at Faculty of Law, Masaryk University and the master degree at Historical Institute – Faculty of Arts, Masaryk University. In 2006 he received two doctoral degrees at Faculty of Social Studies, Masaryk University – one at Department of Political Science, with the thesis on the EU Regional Policy and its actors (Ph.D. degree) and the second in International Relations and European Studies (PhDr. degree).

 

Dr. Pavel Burget (M) finished his PhD at Czech Technical University in Prague in the field of Control systems and robotics. Since then he has been an assistant professor at the department of control engineering at CTU in Prague, FEE. He has lead tens of master students and supervised several PhD students. His research interests are Industrial communication and control systems, Optimization of robotic manufacturing cells and Discrete event systems. He has been a leader of several national research projects focused on applied research. He has established several contracts with industry in the fields of robotics and industrial communications. Since 2016, he has been member of Czech Institute of Informatics, Cybernetics and Robotics, where he has been heading Testbed for Industry 4.0. He has been a researcher in several international research projects, whereas in two of them as a principal investigator.

Since 2012 he has been a member of Profinet IO Working Group, which is a standard-development body of Profibus & Profinet International. He has been editor and co-author of several guidelines managed by this working group, which have been used by automation device and system manufacturers worldwide. Since 2019 he has been an associate editor of IEEE Transactions on Automation Science and Engineering. Since 2019 he has been a member of the executive board of the National Centre for Industry 4.0 and a member of the executive board of RICAIP – Research and Innovation Centre on Advanced Industrial Production.

Wednesday, on April 8th, 2020 at 3 pm:

Title: “Combatting Biased AI using Blockchain technology – Unbiased”

The Speaker is:

Sukesh Kumar Tedla

(CEO and Founder of Unbiased)

This is the link to the recording:

https://attendee.gotowebinar.com/recording/6079637801707177987

Description: 

One of the important things in the AI industry is the growing importance of data, whether it is the mobility or banking or finance or customer-service sector.  Data is essential to make algorithms more efficient and intelligent. There are new methodologies surfacing in the market but the data still remains the essential part when building a consumer-ready algorithm. The quality of an algorithm depends on the data it is trained upon. If your data is biased towards a certain entity, groups, religions, races, and other such socio-economical factors, then the algorithm comes with inherent bias. Though there are many ways bias can impact an algorithm the bias in data is a fundamental issue. This is one of the biggest challenges in the AI industry today.

As the digital connectivity foot-print increases the value for data increases as well. We are moving in the direction of a data-sharing economy where data will be traded in exchange for financial value. Often times people do not know the implications of giving consent on various applications in relation to their data. This is one of the reasons we need better consent management systems and Blockchain technology seems to be the answer. Blockchains offers transparency and establishes trust between different parties, so while sharing data, there is a trust that your data is being used as per your consent.

During this talk, I will present why and how blockchain technology can make a difference and also give a demo of the tool we have built at Unbiased.

Presenter BIO:

Sukesh Kumar Tedla is the CEO and Founder of Unbiased. He is 25 Years old, a young entrepreneur challenging the implications of technology on the societies at large. In his current role as the CEO, he is driving the innovation of building ethical & transparent AI solutions that help fight complex technical & societal challenges like Bias in AI, ML & BigData, Fake News and Mis-Information using blockchain technology. 

About Unbiased

Unbiased is an award-winning Swedish tech startup, building solutions to fight biased AI, fake news & misinformation. Innovations include Unbiased Data Marketplace, Search Engine, and Social Gateway.  Its first offering is its Data Marketplace platform which will help different industries and enterprises working with AI and Machine Learning applications by providing structured training data in a transparent and trustworthy fashion. The team will also offer a wide range of services including real-time data collection, annotation, labeling, and analytics. Through its solutions, Unbiased aims to contribute towards innovation and the betterment of societies.

For more information, please visit https://unbiased.cc

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Wednesday, on April 8th, 2020 at 4:30 pm:

“AI4EU and ICT-49 call”

The Speaker is:

Patrick Gatellier (Thales),

the Coordinator of the AI4EU Project

This is the link to the recording

https://attendee.gotowebinar.com/recording/7157181187161599755

The purpose of the session is providing relevant information of the AI4EU Project for interested organisations who are planning to apply for the Horizon 2020 ICT-49-2020 Call, which aims at consolidating the eco-system by bringing in a larger user community, especially from the non-tech sector, and by reinforcing the service layer of the platform.

There will be time for Q&A, thus participants are encouraged to have the Qs ready. You can always check out what has been asked/answered about the topic on the “Discussions” space on the Platform. You must register to become members on the platform to access all the services and resources available for member users.

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Wednesday, on April 1st, 2020 at 3 pm:

Logic Programming: is it logic or search?

The Speaker was:

Peter Schüller

(Postdoctoral Researcher at TU Wien in Austria)

This is the link to the recording:
https://attendee.gotowebinar.com/recording/6134341803569085195

What was Peter's talk about:

Computer Science is often associated with Algorithms. But there is another side of computer science that is closer to human thinking: Logic. This talk will briefly relate algorithms and logic programming and give two examples for logic programming languages.

CV:

Peter Schüller did his PhD at TU Wien on inconsistency in knowledge representation and his postdoc on cognitive robotics at Sabanci Unviersity in Istanbul and then worked on Natural Language Processing as Assistant Professor in Marmara University in Istanbul. Currently he is Postdoctoral Researcher at TU Wien in Austria and he has a consulting company in Vienna, focusing on System and Database Design with a bit of Machine Learning.

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Wednesday, on March 25th, 2020 at 3 pm:

AI at the Grassroots - why we need a different approach to achieve the UN 2030 agenda

The Speaker has been:
Tara Chklovski

Tara Chklovski is CEO and founder of global tech education nonprofit Technovation

This is the link to recording:
https://attendee.gotowebinar.com/recording/1349835646845305868

What isTara Chklovski talk about

The United Nations 2030 Agenda for Sustainable Development focuses on prosperity and well-being for all people and our planet. However, in the intermediate ten years between now and 2030, countries all around the world will face increasingly serious challenges around access to clean air, water, food security, natural disasters, decreased health (Watts et al., 2018), the forced displacement of millions of individuals (IDMC, 2019), as well as the continued challenges of poverty and inequality. 

As a planet, we have two powerful solutions to leverage: Technology and human ingenuity.

And we need everyone, not just technology experts, to engage as concerned and informed global citizens. We need more people to believe they can effect change in their lives and in their communities, and to recognize that technologies such as AI offer great potential for positive change. 

Yet, currently, the places where AI is being developed are not as diverse and representative as they should be. The unusual speed, scale, and top-down nature of AI technologies requires a deliberate and thoughtful counter-approach that boosts vulnerable groups at the grassroots levels beyond simply being users - or victims - of these technologies, but equal contributors and participants in their creation. A grassroots approach to AI is needed to seize its benefits and mitigate any negative consequences. 

Tara Chklovski, Founder and CEO of a global technology entrepreneurship nonprofit, Technovation, will share lessons, data and stories from 15 years in the field - empowering vulnerable groups, particularly girls and mothers, to tackle pressing problems in their communities - using the most cutting-edge technology tools of our time - AI.

Bio

Tara Chklovski is CEO and founder of global tech education nonprofit Technovation. Technovation runs two competitions through which it empowers underserved communities (especially women and girls) to tackle community problems using cutting-edge technologies (mobile and AI). Prominently featured in the award-winning documentary Codegirl, Forbes named Chklovski “the pioneer empowering the incredible tech girls of the future” for her work encouraging the next generation of innovators and problem solvers. A STEM education advocate, she led the 2019 education track at the UN’s AI for Good Global Summit, presenting Technovation's findings at SXSW EDU, UNESCO’s Mobile Learning Week, Mobile World Congress L.A., the International Joint Conference on AI, and the Global Partnership on AI for Humanity convened by the French Government. Since its founding in 2006, Technovation has engaged more than 130,000 children, parents, mentors, and educators in its mobile and AI programs in 100+ countries.   

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Tuesday, on March 24, 2020 at 3 pm:

Promoting unethical AI is very easy: stay away from arts and culture!

The Speaker has been:
Max Haarich

(Consultant on Arts&Tech and Ethics in Artificial Intelligence, Germany)

This is the link to the recording :
https://attendee.gotowebinar.com/recording/1158625077195083521

 

What Max Haarich wants to discuss with us:

Promoting unethical AI is very easy: stay away from arts and culture! The talk will show several examples how arts and culture make technology more ethical, accessible and innovative. The Munich Embassy of the Lithuanian artist republic Užupis will serve as one example for the combination of technology, arts and culture with a special emphasis on policy making for ethical AI.

Short CV

Max Haarich works as AI Representative of Society for Digital Ethics, Freelance, Dec 2019 – Present , Location Berlin und Umgebung, Deutschland

He is also is the Ambassador of the Republic of Užupis in Munich: Dates Employed Apr 2017 – Present , Location Munich Area, Germany

- Representation of the Republic of Užupis and its constitution

- Promotion of exchange between arts and technology

- Talks, interviews, discussions

More information under: https://www.linkedin.com/in/haarich/

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Wednesday, on March 18th, 2020 at 3 pm:

Is hybrid AI suited for hybrid threats?  Lessons from cyberspace analysis

The Speaker has been: Valentina Dragos is a research scientist, member of the Department of Information Processing and Systems at ONERA, The French Aerospace Lab in Palaiseau, France.

Here is the link to the recording

https://attendee.gotowebinar.com/recording/5834838134389050379

This presentation investigates several issues of using AI techniques to analyze social data in order to detect threats in the cyberspace. Social data is understood as information collected from social media, including a wide range of networks and platforms that show what online users publish on those platforms but also how they share, view or engage with content or other users. First, we will analyze how the virtual domain of cyberspace is unlike the environmental domains of air, land, maritime and space and how it challenges traditional understanding of concepts such as temporality, conflict, information, border, community, identity or governance. Several specific phenomena will be considered: opacity and information filtering (echo chambers, bubble filters), disinformation campaigns (fake news, propaganda, hoaxes, site spoofing), misleading intentions (data leaks), biased interactions (social boots, smoke screening). The discussion is based on practical illustrations of social data analysis, tackling fake news propagation in the aftermath of terrorist attacks and the propagation of extremist ideologies online. The presentation concludes by illustrating the state of art on tools and techniques for cyberspace exploration along with several ongoing research projects, while also leaving room for discussion. 

Short CV

Valentina Dragos is a research scientist, member of the Department of Information Processing and Systems at ONERA, The French Aerospace Lab in Palaiseau, France. Valentina received Master and PhD degrees in Computer Science from Paris V University and her research interests include artificial intelligence, with emphasis on natural language processing, semantic technologies and automated reasoning. Since joining ONERA in 2010, Valentina contributed to several defence and security projects, addressing topics related to semantic interoperability for command and control systems, heterogeneous information fusion, exploration of open sources and social data and integration of symbolic data for situation assessment. Valentina is currently the scientific coordinator of FLYER, a national project dedicated to hybrid AI solutions for social media analysis and a member of NATO research track on Social Media Exploitation for Operations in the Information Environment.

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Wednesday, on March 11th, 2020 at 3 pm:

“The Publication Process and the AI resource catalogue of the AI4EU Platform”

The Speaker was:
Joachim Köhler (Fraunhofer IAIS in Sankt Augustin, Germany)

This is the link for the recording:

https://attendee.gotowebinar.com/recording/4372847209597115139

Description of of his live presentation

This presentation gives an overview the publication process and the catalogue of the AI4EU platform. One main service of the AI4EU platform is the catalogue of AI resources, which can be accessed by the users. The following types of AI resources are supported: data sets, AI models, docker containers, executables, and Jupyter notebooks. The presentation shows the concrete steps of the publication process. The AI resource provider has to enter required fields of metadata and information to publish an AI resource. This will be demonstrated and described in detail. Further, the search and navigation to find an AI resource will be shown. Finally, the presentation provides an outlook to the use of AI resources in the experimentation part of the AI4EU platform using the Acumos framework.

CV

Dr. Joachim Köhler (male) received his diploma and Dr.-Ing. degree in Communication Engineering from the RWTH Aachen and Munich University of Technology in 1992 and 2000, respectively. In 1993 he joined the Realization Group of ICSI in Berkeley where he investigated robust speech processing algorithms. From 1994 until 1999 he worked in the speech group of the research and development centre of the SIEMENS AG in Munich. The topic of his PhD thesis is multilingual speech recognition and acoustic phone modelling. Since June 1999 he is with Fraunhofer IAIS in Sankt Augustin and head of the department NetMedia. The research focus of NetMedia lies in the area of multimedia indexing and search methods and applications. His current research interests include pattern recognition, machine/deep learning, speech recognition, spoken document and multimedia retrieval and cloud-based multimedia information architectures. He was recently technical coordinator of the European IP-project Linked-TV. Now he acts as technical manager in the AI4EU project, building a European AI on-demand platform. Finally, he leads the SPEAKER project: A speech assistant platform – Made in Germany.

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Wednesday, on March 4th, 2020 at 3 pm:

 “AI and Education to fight with Bias? "

The Speaker is:
Moojan Asghari (Women in AI, Paris)

Here is the link to the recording:

https://attendee.gotowebinar.com/recording/5638802907428327426

Here is a short description of her live presentation:

How can a technology be the future without involving 50% of the population? AI is the future and without Women it will not achieve its goal which is to provide more personalised, precise and adapted solutions to everyone.

Join us on the discussion about the problem of Bias in AI and the importance of Education in AI to tackle the issue

 

CV of Moojan Asghari

Professional Experience

Women in AI (WAI), Paris, France (3 years) Jan-17 – Present

President and Co-founder

● Created the core team in Paris and successfully launched the Paris chapter in April 2017 and developed it to a global

network of +3000 members across 100 countries, actively involved with WAI.

● Registered the organisation as a non-profit in Paris and expanded to 30 chapters around the world, from the US, to

South Africa, Australia, Japan and several European countries.

● Led projects including Wai2Go (WAI educational program for kids), WaiAwards (an Award for female

entrepreneurs in AI), WaiSummit (an annual gathering of WAI network), AI4EU (as part of a consortium funded by

European Commission), WaiCamp (2-day workshop for teenagers)

● Represented WAI in over 30 international conferences including European Parliament, UNESCO, OECD and Slush.

 

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On Feb 26th, 2020 at 3 pm

“Analysis of Gender Bias studies in Natural Language Processing"

The Speaker was:
Marta R. Costa-Jussa

(UPC, Researcher)
The link to recording is:

https://attendee.gotowebinar.com/recording/9142633104181700102

 

What was Marta’s presentation about:

Demographic biases are widely affecting artificial intelligence. In particular, gender bias is clearly spread in natural language processing applications, e.g. from stereotyped translations to poorer speech recognition for women than for men. In this talk, I am going to overview the research and challenges that are currently emerging towards fairer natural language processing in terms of gender.

CV

Marta R. Costa-jussà is a Ramon y Cajal Researcher at the Universitat Politècnica de Catalunya (UPC, Barcelona). She received her PhD from the UPC in 2008. Her research experience is mainly in Machine Translation. She has worked at LIMSI-CNRS (Paris), Barcelona Media Innovation Center, Universidade de São Paulo, Institute for Infocomm Research(Singapore), Instituto Politécnico Nacional (Mexico) and the University of Edinburgh. She has participated in 18 European (including an IOF Marie Curie Action) and Spanish national projects. She has organised 10 workshops in top venues and published more than 100 papers. She regularly cooperates with companies as a scientific consultant. Currently, she is leading the Spanish Project of AMALEU. She has received two Google Faculty Research Awards in 2018 and 2019.

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On Feb 19th, 2020 at 3 pm, Sebastian Steinbuß, the Lead Architect of the International Data Spaces Association IDSA (Germany) presented

“Data Sovereignty as a key enabler for AI in Europe"

 

What was Sebastian Steinbuß’s presentation about:

Data is the raw material for innovation. This is particularly true for three major areas that are of paramount importance in today’s digitalized world: artificial intelligence (AI), the internet of things (IoT), and big data. For data to unfold its full potential, it must be made available cross-platform, cross-company, cross-industry business ecosystems. The International Data Spaces Association with more than 100 members from industry and research aims at creating a secure and trusted data space, in which companies of any size and from any industry can manage their data assets in a sovereign fashion. This session will present the core ideas of the IDS Architecture and its benefits for AI.

 

CV

Sebastian Steinbuß worked for nine years at the Fraunhofer-Institute for Software and Systems Engineering in Dortmund as Scientist in the context of Cloud Computing, Big Data and IoT. Here, he gathered experiences regarding Digitization in Logistics and Service Industries. Since 2017 he is the Lead Architect of the International Data Spaces Association IDSA. Here he is responsible for the technical development of the IDS and the organization of the IDSA Working Groups.

Here is the link to the Recording

https://attendee.gotowebinar.com/recording/2513984263909072390

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On Feb 5th 2020, at 3 pm, Huma Shah from Coventry University, UK presented the AI4EU Web Café Session themed

"Are non-diverse AI research and development teams risking bias in innovated algorithms and artefacts?"

Here is the link to the Recording

https://attendee.gotowebinar.com/recording/4550672323892120833

What is Huma’s presentation about:

While the EU-funded Humane-AI consortium (https://www.humane-ai.eu/humaneai-people/) shows gender diversity, the lack of people of colour ignores the fact that the EU region is diverse. More must be done by publically-funded EU AI projects to ensure they lessen the risk of discriminating a section of society, especially if the region aims to lead in Artificial Intelligence research and export its technologies around the world. This can be achieved through artificial intelligence being taught in early education with robotics to engage more females, more males from socio-economically disadvantaged homes and children of different cultures leading to diverse AI research and development teams.

CV

Director of Science, EU Horizon2020 CSI-COP research and innovation project coordinated by Coventry University

Associate Member, Data Science Research Centre

Assistant Professor ‘Trust in AI’, School of Computing, Electronics and Mathematics

Faculty of Engineering, Environment and Computing,  

Her research focus examines fundamental artificial intelligence and trust in artificial intelligence applications.

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On Jan 29th, 2020 at 3 pm, Mihai Datcu (DLR, Germany) presented the live AI4EU Web Café Session themed

"Earth Observation Big Data Challenges:  the AI change of paradigm".

Here the link to the recorded session:

https://attendee.gotowebinar.com/recording/5730711083619976460

What was Miha Dactu’s presentation about:

Earth Observation Big Data Challenges: the AI change of paradigm

The volume and variety of valuable Earth Observation (EO) images as well as non-EO related data is rapidly growing. The deluge of EO images of Terabytes per day needs to be converted into meaningful information, largely impacting the socio-economic-environmental triangle.  An important particularity of EO images should be considered, is their  “instrument” nature, i.e. in addition to the spatial information, they are sensing physical parameters, and they are mainly sensing outside of the visual spectrum.

 

Machine and deep learning methods are mainly used for image classification or objects segmentation, EO require hybrid AI methods encompassing from mathematical models for the satellite orbit, the physics of electromagnetic propagation and scattering, signal processing, machine learning, or knowledge representation. The new specific AI methods for EO are designed to leverage advances in physical parameters extraction.

 

Biography

Mihai Datcu received the M.S. and Ph.D. degrees in Electronics and Telecommunications from the University Politechnica Bucharest UPB, Romania, in 1978 and 1986. In 1999 he received the title Habilitation à diriger des recherches in Computer Science from University Louis Pasteur, Strasbourg, France. Currently he is Senior Scientist and Data Intelligence and Knowledge Discovery research group leader with the Remote Sensing Technology Institute (IMF) of the German Aerospace Center (DLR), Oberpfaffenhofen, and Professor with the Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, UPB. From 1992 to 2002 he had a longer Invited Professor assignment with the Swiss Federal Institute of Technology, ETH Zurich. From 2005 to 2013 he has been Professor holder of the DLR-CNES Chair at ParisTech, Paris Institute of Technology, Telecom Paris. His interests are in Data Science, Machine Learning and Artificial Intelligence, and Computational Imaging for space applications. He is involved in Big Data from Space European, ESA, NASA and national research programs and projects. He is a member of the ESA Big Data from Space Working Group. He received in 2006 the Best Paper Award, IEEE Geoscience and Remote Sensing Society Prize, in 2008 the National Order of Merit with the rank of Knight, for outstanding international research results, awarded by the President of Romania, and in 1987 the Romanian Academy Prize Traian Vuia for the development of SAADI image analysis system and activity in image processing. He is IEEE Fellow. He is holder of a 2017 Blaise Pascal Chair at CEDRIC, CNAM.

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On Jan 22nd, 2020 at 3 pm Miha Turšič (Waag, Amsterdam) presented the AI4EU Web Café session themed

“AI in a world of cross-over challenges”

Here the link to the recorded session:

https://attendee.gotowebinar.com/recording/6570954570876694018

What was his presentation about:

The world of the 21st century is emerging in the form of cross-over challenges that no knowledge domain can cope with by itself. This is the case with technologies like AI is that they are simultaneously reshaping not only the economy but also the society and the environment.

Capacities of deep learning and autonomous decision making introduced new subjectivities like smart assistants as well as ways of urban mobility that reshape the appearance of urban landscapes. Yes, technologies are not neutral. While they appear as commodities, they also bring concerns and controversies. Due to their utterly remote and invisible presence, also their impact remains invisible—unless it gets addressed.

CV

Miha Turšič (1975) is an artist, designer, and researcher, dedicated to the development of arts and humanities in outer space. He designed works in reference to the human condition in outer space, developing post-gravitational art and artistic satellites, founded Cultural Centre of European Space Technologies, an institution with dedicated Cultural Space Programme and actively developing cooperations between space and art institutions in Europe, Russia, United States, and China. Currently, he works at Waag as a concept and project developer, specialized for art-science interactions.

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On Wednesday, Dec 18th, at 3 pm (CEST), Catherine Tessier (Onera, the French Aerospace Lab) presented AI4EU Web Café session themed “Artificial Intelligence and Ethics”

Here is the link to the recorded session

What was the Presentation about?

After clarifying what Artificial Intelligence (AI) software covers and what ethics means, we will focus on three sets of issues:

(1) some ethical issues related to research in AI or to the design of AI-based software,

(2) some ethical issues related to the use of AI-based software and

(3) some “ethics-by-design” issues and the ethics washing risk.

CV:

Catherine Tessier is a senior research scientist at ONERA, Toulouse, France. She has been also ONERA’s research integrity officer since October 1st, 2018.

She received her doctorate in 1988 and her accreditation as research director in 1999. She is also a part-time professor at ISAE-SUPAERO, Toulouse.

Her research focuses on authority sharing between robots and humans, on the implementation of ethical frameworks and moral values into robots and on ethical issues related to the use of robots.

She is a member of COERLE (Inria’s operational ethics committee for the evaluation of legal and ethical risks), of CERNA (Allistene alliance advisory board for the ethics of information and communication technologies) and of the new French national pilot ethics committee for information technologies.

See also  https://www.onera.fr/fr/staff/catherine-tessier

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On Wednesday, Dec 11th, at 3 pm (CEST) Manuela Battaglini (Transparent Internet, Denmark) presented an AI4EU Web Café session themed “Transparency in automated decision-making processes and personal profiling”

Manuela Battaglini was joined by her Special Guest Steen Rasmussen (Transparent Internet, Denmark) to make the case for the main theme. 

Here is the link to the recorded session

 

What was the Presentation about?

Manuela Battaglini will speak from a legal and ethical perspective about “Transparency in automated decision-making processes and personal profiling”.

Her idea is to talk about how we are where we are right now in terms of privacy (a bit of historical overview, briefly), then talk about what is causing opacity in ML algorithms and the issues, and then, the solutions.

 

Speaker:

 

Manuela Battaglini

is a data ethics lawyer, strategic marketer and CEO of the company Transparent Internet. She helps businesses and organisations to identify why, how and with which transparent and ethical technologies they can simultaneously increase market reach as well as client trust and benefits to society. Manuela initially worked as a lawyer for 10 years. In 2008, she engaged in the world of strategic digital marketing where she has, over the years, acquired deep knowledge about the inner working of online platformsand big data. Over recent years, she has combined these areas of expertise, as she understands the nexus of law, marketing and technology. Recently, she has founded a company, Transparent Internet, combining law, data ethics, marketing and technology to help companies and organisations develop, implement and use technology in a more transparent and ethical manner while at the same time increase their commercial edge. Manuela believes that if more organisations develop and implement technology in a more ethical and transparent manner, we will enhance personal freedom, trust, tolerance and sustainability. And this is the world she wants to live in.

Transparent Internet, Tårup Bygade 30, DK-5370 Mesinge, Denmark

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On Wednesday, November 27th, at 3 pm (CEST) Philipp Slusallek (DFKI) presented a Web Café session themed "Understanding the World with AI: Training and Validating AI Systems using Synthetic Data”

The Speaker is: Philipp Slusallek (DFKI), Scientific Director and Site Director, German Research Centre for Artificial Intelligence (DFKI), Saarbrücken, Germany. 

Here is the link to the recorded session

What was the Presentation about?

Artificial Intelligence (AI) systems that deal with reality need to reliably make accurate decisions even in highly complex and critical situations, in particular when human lives are at stake. However, suitable real training data is often hard to come by, especially for critical situations that hardly ever happen.

Digital Reality uses AI to optimize and validate other AI systems. The approach allows to simultaneously learn models of the real world and use them for the training of AI systems by synthetically generating the needed sensor data via simulations. This approach also allows us to systematically validate AI systems by automatically generating test cases from our models that specifically address critical aspects.

Validation with real data also allows us to continuously identify limitations in the models and adapt them to the dynamic changes in the real world.

 

CV

Philipp Slusallek is Scientific Director at the German Research Center for Artificial Intelligence (DFKI), where he is leading the Research Area “Agents and Simulated Reality” since 2008, is the Site Director for DFKI Saarbrücken, and a member of the executive board of DFKI. He has been Director for Research at the Intel Visual Computing Institute, a central research institute of Saarland University co-funded by Intel from 2009 to 2017. He is principal investigator at the Saarbrücken Cluster of Excellence on “Multimodal Computing and Interaction”. At Saarland University he has been a full Professor of Computer Graphics since 1999. Before coming to Saarland University, he was a Visiting Assistant Professor at Stanford University, USA. He studied physics in Frankfurt and Tübingen (Diploma/M.Sc.) and got his Ph.D. in Computer Science from Erlangen University, Germany.

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On Wednesday, November 20th, at 3 pm (CET) Pierre Pleven (TeraLab, Paris) presented a public AI4EU Web Café session themed: AI Opportunities and Challenges: Beyond Hype and Fears

Pierre Pleven addressED some hot & controversial AI topics :

  • Why AI now?
  • Toward a Data economy?
  • AI: a geopolitical challenge?
  • European values: Human centred AI.

Here is the link to the recorded session

 

CV

TeraLab Strategic Advisor at INSTITUT MINES TELECOM with 45 years of IT experience with humble contribution to Digital transformation of Society and Industry. Hands on contribution in several ICT sector new business creation (range 10-700 employees). Managed 4 IT Startups / Spinoffs, Coached x100 Business ideas and x 10 Startups. Managed x10 Research & Innovation projects .As Business Angel Invested in 3 Startups and SMEs + sub-Saharan ethics business ventures. Managed TeraLab:   AI/Big Data platform for Research and Innovation https://www.teralab-datascience.fr/fr/.Now focusing on Data Driven economy : Education , Research, Innovation.

Contributing to one of the last IT frontiers:  Trust and Data Governance, key elements of the AI promise, and the proposed novel man machine relationship.

https://www.linkedin.com/in/pierrepleven/

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On Nov 13th, 2019 at 3 p.m. James L. Crowley (Univ. Grenoble-Alps and INRIA Grenoble Rhone-Alpes Research Center) made his presentation titled “Artificial Intelligence: a Rupture Technology for Innovation”.

The Turing test defines intelligence as human-level performance at interaction. After more than 50 years of research, Machine Learning has provided an enabling technology for constructing intelligent systems with abilities at or beyond human level for interaction with people, with systems, and with the world. This technology creates a fundamental rupture in the way we build systems, and in the kind of systems that can be built.

In this talk I will provide a review of recent progress in Machine Learning, and examine how these technologies change the kind of systems that we can build.  Starting with a summary of the multi-layer perceptron and back propagation, I will describe how massive computing power combined with planetary scale data and advances in optimization theory have created the rupture technology known as deep learning.  I will discuss common architectures and popular programming tools for building convolutional and recurrent neural networks, and review recent advances such as Generative Adversarial Networks and Deep Reinforcement Learning. I will examine how these technologies can be used to build realistic systems for vision, robotics, natural language understanding and conversation. I conclude with a discussion of open problems concerning explainable, verifiable, and trustworthy artificial systems. “

Here is the link to the recorded session

CV:

James L. Crowley is a Professor at the Univ. Grenoble Alpes, where he teaches courses in Computer Vision, Machine Learning and Artificial Intelligence at Grenoble Institut Polytechnique (Grenoble INP). He directs the Pervasive Interaction research group of the Grenoble informatics laboratory (LIG) at INRIA Grenoble Rhône-Alpes Research Center in Montbonnot, France. He has recently been named to the Chair on Intelligent Collaborative Systems at the Grenoble Multidisciplinary AI Institute.

 

Over the last 35 years, professor Crowley has made a number of fundamental contributions to computer vision, robotics, multi-modal interaction and Intelligent Systems. These include early innovations in scale invariant computer vision, localization and mapping for mobile robots, appearance-based techniques for computer vision, and visual perception for human-computer interaction. Current research concerns  Collaborative  Interaction with Intelligent Systems

 

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On November 11st, 2019 at 3 pm (CEST) Michela Milano (University of Bologna) and Sonja Zillner (Siemens) presented “Strategic Research and Innovation Agenda of AI4EU” in the AI4EU Web Café:

“AI4EU has among its objectives the definition of a Strategic Research and Innovation agenda.This SRIA should focus mainly on how the platform can contribute to the achievement of a vision that we have for AI in Europe. The starting step in this process is the definition of a Vision Document which has been just released by the project and now it is open for discussion. this web cafe is intended to explain the structure and content of the document to foster discussion, that is supposed to be delivered next June.”

Here is the link to the recorded session

CV

Michela Milano is full professor at the Department Computer Science and Engineering of the University of Bologna. She is Deputy President of EurAI (the European Association of Artificial Intelligence) and Executive Councillor of AAAI (the Association for the Advancements of Artificial Intelligence). She is Editor in Chief of the Constraint Journal, past Area Editor of INFORMS Journal on Computing and member of the Editorial Board of ACM Computing Surveys. Her research interests cover decision support and optimization systems merging techniques of constraint programming, operations research and machine learning. See is author of more than 150 papers on international conferences and journals. She has been the recipient of the Google Faculty Research Award on DeepOpt: Embedding deep networks in Combinatorial Optimization, and coordinated and participated to many EU projects and industrial collaborations.  

 

Sonja Zillner studied mathematics and psychology and accomplished her PHD in computer science specializing on the topic of Semantics. She is Senior Key Experts in the field of Semantic Technologies and Artificial Intelligence at Corporate Technology, Siemens AG and the chief-editor of the Strategic Research Innovation and Deployment Agenda of the AI PPP and leading editor of the Strategic Research and Innovation Agenda of the Big Data Value Association (BDVA). She is author of more than 20 patents in the area of semantics and data analytics. Her research focus lies in the area of semantic technologies, AI and data-driven innovation.

 

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On Oct 23rd Jean-Luc Dormoy (Hub IA) has presented the AI4EU Web Café session themed “Leveraging the impact of AI in Europe”

“The impact of AI is going to happen in all domains of human activity. To face this, we might need new ways of interacting and imagining solutions. For example, if existing business has to adapt, new business has to be favoured, and both should interact smoothly; or, society at large should be able to properly assess the benefits as well as potential threats of AI, and so to understand what it is all about; this will be a condition for a stable, democratic Europe.”

Here is the link to the recorded session 

CV:

Jean-Luc Dormoy has worked in research institutions, large companies and startups. He is a co-founder of Kalray http://www.kalrayinc.com, of VESTA-SYSTEM http://www.vesta-system.fr/?lang=en, and senior advisor of Irene http://www.irene-crowdsale.com, was director for “Smart Electric Systems” for the EDF Group in Europe, and was in charge of software programmes at CEA Tech. He is involved in startup accelerators and initiatives for startups, cyber physical systems, Artificial Intelligence and Smart Energy in the EU. He worked with China at government level and spent some time at Stanford University. Jean-Luc Dormoy is a founding and board member of the #Hub France Intelligence Artificielle, and Lead Europe. He was trained in mathematics at the Ecole Normale Supérieure de Saint-Cloud, and got a PhD in Artificial Intelligence from Paris 6 University.

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On Sep 24t 2019 the AI4EU Cafe has presented

Patrick Gatellier (Coordinator of the AI4EU project) with his talk : "How to propose synergies with the AI4EU platform – the H2020 calls"