Date : 2022-08-29 => 2022-09-02
Lieu : Saarbrücken, Germany

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Second Inria-DFKI European Summer School on AI (IDESSAI 2022)

Trusted AI and Sustainable AI

Saarbrücken, Germany
August 29th – September 2nd, 2022

Second Inria-DFKI European Summer School on AI (IDESSAI 2022)

Registration deadline: May 9th, 2022

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IDESSAI 2022 is the second yearly Summer School organized by the two renowned German and French AI institutes, DFKI and Inria. It stands out from the crowd of offerings for AI students in several aspects:

We ensure a good balance in the number of participants and instructors: participants will have the opportunity to join a community of like-minded people, and, at the same time, they will be in close contact with the experts.
Our program features a line-up of courses focused on two themes, Trusted AI, and Sustainable AI, which are at the forefront of socio-economic issues related to AI.
On top of the latest methodological advances and the shared vision of the future that both organizing institutes have to offer, IDESSAI 2022 will be practically oriented. We will achieve this through hands-on courses and the involvement of industry practitioners and innovators.
Participants will be offered to the opportunity to present their work to each other in dedicated poster/demo sessions.
Trusted AI and AI Sustainable AI will take place in two parallel tracks. There will be plenty of opportunities to exchange between these two tracks at coffee breaks, meals, and social events, as well as through joint cross-track sessions.

TARGETED AUDIENCE

IDESSAI 2022 was designed for PhD students in all areas of AI, including machine learning, knowledge representation and reasoning, search and optimisation, planning and scheduling, multi-agent systems, natural language processing, robotics, computer vision, and other areas. PhD students in other fields, MSc students, postdocs, and researchers in academia and industry are also welcome.

VENUE
IDESSAI 2022 is planned as a fully in-person event, which will take place at the University of Saarland. Remote attendance will not be possible. Participants will comply with the health and social distancing rules in force at the time of the event.

CONFIRMED SPEAKERS
Cross-track

Titouan Vayer (ENS Lyon) – Less is more? How compressive learning and sketching for large-scale machine works
Sophie Quinton (Inria) – A holistic perspective on IT sustainability
Trusted AI Track:

Martin Georg Fränzle (University of Oldenburg) – AI components for high integrity, safety-critical cyber-physical systems: chances and risks
Michael Luck (King’s College London) – Artificial Intelligence: Towards safety and trust
André Meyer-Vitali (DFKI) – Trustworthy hybrid team decision support
Caterina Urban (Inria) – Formal methods for machine learning
Freddy Lecue (Thales & Inria) – Explainable AI: a focus on machine learning and knowledge graph-based approaches
Oana Goga (CNRS – LIG) – Security and privacy issues with social computing and online advertising
Sustainable AI Track:

Silviu-Ioan Filip (Inria) – Tools for DNN quantization
Olivier Sentieys (Inria) – Hardware accelerators for DNNs
Christoph Lüth (DFKI Bremen) – An introduction to the RISC-V ISA
Richard Membarth (DFKI Saarbrücken & Technische Hochschule Ingolstadt) – Code optimization via specialization
Anne-Laure Ligozat (ENSIIE) – Carbon footprint of AI
Danilo Carastan dos Santos (Inria) – Measuring the energy consumption of AI
Daniel Beutel (Adap) – An Introduction to federated learning with Flower

FEES AND REGISTRATION

Our fees are all-inclusive. Please keep in mind that an accommodation must be organised on your own and paid by your own.

For more details and to register, see https://idessai.eu/registration-2022/ (deadline: May 9th, 2022).

To ensure a good balance in the number of participants and instructors and maximize the chances of interaction, the number of attendees is limited to 50 per track. Applicants will be selected on the grounds of diversity and benefit gained from attending the selected track.

ORGANIZERS

Co-organized by: Inria, DFKI

Contact us: idessai-support@dfki.de.