Summer School Inria-DFKI
Published on May 30, 2023
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Updated on June 28, 2023
Dates
from September 4, 2023 to September 8, 2023
The 3rd Inria-DFKI European Summer School on AI (IDESSAI 2023) pursues the series of yearly Summer Schools organized by the two renowned German and French AI institutes, DFKI and Inria, in coordination with 3IA Côte d’Azur.
IDESSAI 2023 is the third 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:
TARGETED AUDIENCE
IDESSAI 2023 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.
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- 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, Simulation & AI and AI for Agriculture & the Environment, 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 2023 will be practically oriented. We will achieve this through hands-on courses and the involvement of industry practitioners and innovators.
- Participants will be offered the opportunity to present their work to each other in dedicated poster/demo sessions.
- Courses for each theme 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 2023 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.
Learn more
