Scientific conferences, Advanced scientific education

Among the many offers for AI students, IDESSAI stands out due to its special concept. The organizers attach great importance to a balanced relationship between participants and lecturers, so that intensive support and exchange are guaranteed. Participants can become part of a community of like-minded people and at the same time be in close contact with experts. The program includes a series of courses that focus on current topics such as large-scale AI models, and robotics & AI - areas that are at the center of current socio-economic discussions around Artificial Intelligence.

The Summer School will focus on the latest methodological developments and the joint future vision of the two organizers, but also on practical relevance. This will be achieved through application-oriented courses and the involvement of practitioners and innovators from industry. Participants will have the opportunity to present their own work in special poster and demo sessions.

Large-scale AI models and Robotics & AI will be covered in two parallel tracks. Coffee breaks, meals, social events and joint sessions between the two tracks will provide numerous opportunities for exchange and networking.

Targeted audience:
IDESSAI 2024 has been designed for PhD-students coming from all areas of AI, including machine learning, knowledge representation and reasoning, search and optimization, planning and scheduling, multi-agent systems, natural language processing, robotics, computer vision and others. PhD students from other disciplines, MSc students, postdocs and researchers from academia and industry are also welcome.

Venue:
IDESSAI 2024 is planned as a face-to-face event in English at Saarland University, Saarbrücken. Remote participation is not 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 Models
Malte Ostendorff (Deutsche Telekom AG) – 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
Gerrit 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

Day of the Research and Innovation Centre on Advanced Industrial Production (RICAIP):
Xiaomei Xu – Hands-On Robotic-Course - Multi-Robot simulation using Siemens Tecnomatix
Martin Suda und Miklas Janota (CIIRC at CTU 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 Industry 4.0 (MRK 4.0 Lab)
Maurice Rekrut und Marc Tabie (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 organized 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.

Contact

idessai-support@dfki.de

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Weitere Informationen:
https://idessai.eu
https://idessai.eu/registration-2024
http://www.dfki.de
http://www.inra.fr