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Fourth Inria-DFKI European Summer School on AI (IDESSAI 2024)
Large AI Models and Robotics and AI
Saarbrücken, Germany
September 9th - September 13th, 2024
https://idessai.eu/
Registration deadline: August 23th, 2024
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IDESSAI 2024 is the fourth 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, Large AI Models, and Robotics and 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 2024 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.

Large AI Models and Robotic and 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 2024 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 2024 is planned as a fully in-person event, which will take place at the University of Saarland. Remote attendance will not be possible.

CONFIRMED SPEAKERS
Keynotes:
Wolfgang Wahlster (DFKI) – Industrial AI for Smart Manufacturing
Karën Fort (Université de Lorraine) - Ethics in Natural Language Processing: don't look up!
Kai Warsönke und Henrik Waschke (Volkswagen) - Increasing product quality in the automotive industry through the Virtual Measurement Data Analysis (VMDA)
Xavier Hinaut (Inria) - BrainGPT: Tailoring Transformers into Cognitive Language Models

Large AI Models:
Christophe Cerisara (CNRS) - Introduction to Large Language
Malte Ostendorff (Deutsche Telekom) – Training Data for Large Language Models
Christophe Cerisara (CNRS) - Efficient LLM training
Mariya Toneva (MPI) - Relating LLMs to human brains
Jindong Gu (Google Deep Mind) - Responsible Generative AI
Marc Lelarge (Inria) - LLMs for code
Gerit Großmann und Islam Mesabah (DFKI) - Language Models and Structured Knowledge in AI
Alexandre Défossez (Kyutai) - Auto-regressive modeling of discrete audio tokens

Robotics and AI:
Daniel Porta (DFKI) - Digital twins for AI-based industrial applications
Pia Bideau (Inria) - Navigating Together: Integrating Analytical and Learning-Based Approaches for Distance Estimation
Marie-Odile Berger (Inria) - AI for computer vision: using high level features for localization

RICAIP-Day
Xiaomei Xu – Hands-On Robotic-Course - Multi-Robot Simulation using Siemens Tecnomatix
Martin Suda und Miklas Janota (CIIRC Prague) - Powering Logic-Based Reasoning with Machine Learning and Vice Versa?
Tim Schwartz (DFKI) – Practical Tour through the German-Czech Innovation Lab for Human-Robot Collaboration in Industrie 4.0 (MRK 4.0 Lab)
Maurice Rekrut und Marc Tabie (NEARBY/DFKI) - The NEARBY Project - Variabilities in Brain-Computer Interfaces – Towards applying BCIs in real-world applications

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-2024/ (deadline: August 23th, 2024).
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.
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