Major European AI/ML conference organised by the ELISE project in Helsinki



In late June 2024, 200 members of the ELISE and ELLIS community met in Helsinki for the ELISE Wrap Up Conference and ELLIS Community Event. Organised by ELISE, the event brought together top European researchers in Artificial Intelligence and Machine Learning (AI/ML), outstanding PhD students, ELLIS and ELISE coordinators, and representatives of small and medium-sized enterprises (SMEs) who are developing innovative applications supported by ELISE. The meeting was also joined by the Finnish Member of Parliament and former Minister of Transport and Communications, Timo Harakka, and leading Canadian computer scientist, Yoshua Bengio, who gave the closing keynote address remotely.
ELLIS event
Photo by Negar Rahnamae/ELLIS Unit Jena

Featured sessions

To open the conference,  ELLIS President Bernhard Schölkopf’s keynote speech gave an overview of ELISE’s achievements, plans for ELLIS moving forward, as well as a fascinating scientific talk. Closing the first day, ELLIS Board Member, Professor Neil Lawrence gave a keynote to launch his new book, The Atomic Human: Understanding Ourselves in the Age of AI.  Many of the themes of the keynote addresses were expanded upon in a panel discussion, where Timo Harakka and Professors Schölkopf and  Lawrence were joined by Jessica Montgomery and Professor Petri Myllymäki.         

Streams of the three keynote addresses and the panel discussion can be found on Youtube.
 

Co-located workshops and working groups

ELISE’s work package leaders hosted workshops that shared their achievements with the wider ELLIS community, and discussed and planned ways forward after the ELISE project ends in August 2024. This included a workshop on  the ELLIS PhD Program, which has grown beyond expectations thanks in large part to the ELISE project. 

ELISE co-organised four ELLIS Research Program Workshops at the event. These workshops hosted their own participants and guest speakers. The Robust Machine Learning, Semantic, Symbolic and Interpretable Machine Learning,Theory, Algorithms and Computations of Modern Learning Systems, and Human-centric Machine Learning Research Programs hosted workshops.

External links for the Research Program workshops:

Joint work with European NoEs

The event was also an opportunity for ELISE and ELLIS to extend their collaborative  work with other European Networks of Excellence Centres (NoEs) in AI/ML. ELISE collaborated with the NoE, ELIAS, to organise a workshop for  ELLIS’s Human-centric Machine Learning Research Program. 

The congregation in Helsinki also joined the 4th VISION Community Workshop in Thessaloniki for three remote sessions. The aim of these sessions was to plan how to sustain the work of the NoEs after the ICT-48 projects end.

“This successful event was, in some ways, the first of its kind,”  says Christopher Murray, the Project Coordinator of ELISE. “It was a  unique opportunity for diverse groups within ELISE and ELLIS to come  together, share their achievements, and make lasting connections. The  speakers we had at the event are world-leading, and the Research  Programs, companies, and coordinators who participated are advancing the  field in remarkable ways.”    

More information

Learn more about the event and take a look at the detailed program here.

Find more impressions of the event on the social media channels of ELISE and ELLIS:

About ELISE

ELISE  is a network of artificial intelligence research hubs. Based on the  highest level research, it spreads its knowledge and methods in  academia, industry and society. The network invites all ways of  reasoning, considering all types of data applicable for almost all  sectors of science and industry. We do this while being aware of data  safety and security, and striving to explainable and trustworthy  outcomes. ELISE works in cooperation with ELLIS (European Laboratory for  Learning and Intelligent Systems). ELISE is part of the EU Horizon 2020  ICT-48 portfolio, and is coordinated by  Aalto University.

Originally published on the ELISE project website.

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