P.A.I.S.S. Prairie/MIAI Artificial Intelligence Summer School
from July 5, 2021 to July 9, 2021
Online
The PRAIRIE/MIAI AI summer school comprises lectures conducted by renowned experts in different areas of artificial intelligence.
The third edition of this summer school will be held online from the 5th to the 9th July 2021. It will include presentations on several topics, including, computer vision, machine learning, natural language processing, robotics, healthcare.
The 2021 summer school will feature lecturers including:
The summer school will be free of charge and the deadline to apply is May 24th.
There will be a limited number of places (between 200 and 300), but the presentations will be broadcasted live on Youtube.
(the "participation" gives access to some additional events, some of them allowing to interact with the speakers + poster sessions).
Details of the previous edition in 2019 can be found here.
Supporting Organizations
The AI Summer School is organized by the AI institutes MIAI (Université Grenoble-Alpes) and PRAIRIE, NAVER LABS Europe, and Inria.
- Lourdes Agapito (UCL)
- Francis Bach (Inria)
- Alejandrina Cristià (ENS)
- Pascale Fung (HKUST)
- Hannah Kerner (Univ. Maryland)
- Catherine Nakalembe (Univ. Maryland)
- Stéphanie Allassonnière (Univ. Paris)
- Danielle Belgrave (MSR)
- Andrew Davison (Imperial)
- Arthur Gretton (UCL)
- Yann LeCun (Facebook / NYU)
- Cordelia Schmid (Inria / Google)
The summer school will be free of charge and the deadline to apply is May 24th.
There will be a limited number of places (between 200 and 300), but the presentations will be broadcasted live on Youtube.
(the "participation" gives access to some additional events, some of them allowing to interact with the speakers + poster sessions).
Details of the previous edition in 2019 can be found here.
Supporting Organizations
The AI Summer School is organized by the AI institutes MIAI (Université Grenoble-Alpes) and PRAIRIE, NAVER LABS Europe, and Inria.
Published on July 8, 2021
Practical informations
Location
Online
