Connectionists: Second Inria-DFKI European Summer School on AI - Register by May 23

[Emmanuel Vincent]

Dear list,

Many seats are still available for the Sustainable AI track, which 
focuses on measuring the environmental impact of AI and developing 
resource-efficient AI technologies. 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).


*******************************************************************
*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*

*******************************************************************

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
*

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

*Trusted AI Track:*

  * 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
  * Caterina Urban (Inria) - Formal methods for machine learning
  * Freddy Lecue (Thales & Inria) - Explainable AI: a focus on machine
    learning and knowledge graph-based approaches
  * Michael Luck (King's College London) - Artificial Intelligence:
    Towards safety and trust
  * 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 & 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.
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