[Event at CIG] [Last Call] Open registration for European Summer School on AI in Saarbrücken, Germany

[Shirin Iqbal]

Dear all,

Many seats are still available for the Sustainable AI track, which focuses on developing resource-efficient, embedded, or distributed AI technologies and measuring their environmental impact. This is a central topic in the European AI strategy, and for the future of our planet. There are also a few seats left for the Trusted AI track.

We're looking forward to your registration (deadline extended to May 23).

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

                        Trusted AI and Sustainable AI
                             Saarbrücken, Germany
                       August 29 - September 2, 2022
                                https://idessai.eu/

           Extended registration deadline: May 23, 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

  *   Michael Luck (King's College London) - Artificial Intelligence: Towards safety and trust
  *   Sophie Quinton (Inria) - ICT and sustainability
  *   Marcus Voß (Birds on Mars) - Tackling climate change with AI
  *   Titouan Vayer (ENS Lyon) - Less is more? How compressive learning and sketching for large-scale machine works

Trusted AI Track:

  *   Catuscia Palamidessi & Sayan Biswas (Inria) - Security and privacy theory
  *   Oana Goga (CNRS - LIG) - Security and privacy issues with social computing and online advertising
  *   Caterina Urban (Inria) - Formal methods for machine learning
  *   Martin Georg Fränzle (University of Oldenburg) - AI components for high integrity, safety-critical cyber-physical systems: chances and risks
  *   André Meyer-Vitali (DFKI) - Trustworthy hybrid team decision support
  *   Freddy Lecue (Thales & Inria) - Explainable AI: a focus on machine learning and knowledge graph-based approaches
  *   Rafaël Pinot (EPFL) - Are neural networks getting smarter? State of knowledge on adversarial examples in machine learning

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 & TH 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 accomodation has to be organised on your own.

For more details and to register, see https://idessai.eu/registration-2022/ (extended deadline: May 23, 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 at dfki.de<mailto:idessai-support at dfki.de>.


  In any Corona related issues with respect to COS, please contact corona-cos at dfki.de<mailto:corona-cos at dfki.de>!

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  Shirin Iqbal
  Projektassistenz

  Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
  Trippstadter Strasse 122, 67663 Kaiserslautern, Germany

  Geschäftsführung:
  Prof. Dr. Antonio Krüger (Vorsitzender)
  Helmut Ditzer

  Vorsitzender des Aufsichtsrats:
  Dr. Gabriël Clemens
  Amtsgericht Kaiserslautern, HRB 2313