Search results for "[current-page:query:search_api_fulltext]"

81 results found

Bandeau image
fleche

Actualité | AAP

Chapo
ML4CFD, machine learning for computational fluid dynamics : the laureate of the DATAIA 2020 call for research projects
Bandeau image
fleche

Actualité | AAP

Chapo
ML4CFD, machine learning for computational fluid dynamics : the laureate of the DATAIA 2020 call for research projects
Bandeau image
fleche

Actualité | DATAIA

Chapo
The DATAIA seminars continue during the quarantine period: log-in from your computer and follow the talks of our guest experts!
Bandeau image
fleche

Actualité | Event

Chapo
Actors in artificial intelligence, data science, and human and social sciences from Saclay gathered on March 5, 2020 at CentraleSupélec to attend the "DATAIA DAY: 1st data science, intelligence and society conference".
Bandeau image
fleche

Actualité | AAP

Chapo
On 12 December 2019, the National Research Agency published the results of the call for projects « AI Chairs », launched last April.
Among the 40 selected, several researchers are part of the DATAIA Institute's ecosystem.
Bandeau image
fleche

Actualité | Recherche

Chapo
The BioNLP Open Shared Tasks 2019 workshop presented 7 scientific tasks, including the Bacteria Biotope task, and the participants' results published by the Association for Computational Linguistics.
Bandeau image
fleche

Actualité | Recherche

Chapo
The « PEPER » project: an architecture for collecting data on energy consumption per second at Télécom SudParis.
Bandeau image
fleche

Actualité | Event

Chapo
On Wednesday 11th September the DATAIA Institute launched the first edition of DATAIA Days, which tackled the relation between safety and AI.

DATAIA Days is a serie of events that bring together academic and professional experts to debate about topics that have a strong social impact.
Bandeau image
fleche

Actualité | Event

Chapo
Jakob Runge tackles the challenges related to causal discoveries in the Earth sciences
Bandeau image
fleche

Actualité | Event

Chapo
"Nonlinear independent component analysis: A principled framework for unsupervised deep learning"
Aapo Hyvärinen leads DATAIA Seminar