Covid-19 and AI: Unexpected Challenges and Lessons
Document type :
Partie d'ouvrage
Title :
Covid-19 and AI: Unexpected Challenges and Lessons
Author(s) :
Guedj, Benjamin [Auteur]
University College of London [London] [UCL]
Department of Computer science [University College of London] [UCL-CS]
Inria Lille - Nord Europe
Inria-CWI [Inria-CWI]
MOdel for Data Analysis and Learning [MODAL]
The Inria London Programme [Inria-London]
University College of London [London] [UCL]
Department of Computer science [University College of London] [UCL-CS]
Inria Lille - Nord Europe
Inria-CWI [Inria-CWI]
MOdel for Data Analysis and Learning [MODAL]
The Inria London Programme [Inria-London]
Publication date :
2021
HAL domain(s) :
Statistiques [stat]/Machine Learning [stat.ML]
Informatique [cs]/Apprentissage [cs.LG]
Informatique [cs]/Apprentissage [cs.LG]
English abstract : [en]
On May 21st, 2021, we held the webinar "Covid-19 and AI: unexpected challenges and lessons". This short note presents its highlights.On May 21st, 2021, we held the webinar "Covid-19 and AI: unexpected challenges and lessons". This short note presents its highlights.Show less >
Language :
Anglais
Popular science :
Non
Collections :
Source :
Files
- document
- Open access
- Access the document
- main.pdf
- Open access
- Access the document