Pedagogical toolbox for AI learning based on a cooperative and spiral model - Philippe Esling (STMS-IRCAM)
Congratulations to Soumia Dermouche and Eloi Zablocki who have been awarded the second IA thesis prize from AFIA.
ECIR2020 Short Paper Award Honorable Mention goes to Bruno Taillé, Vincent Guigue & Patrick Gallinari. Congratulations!
COVID-19, fake news & AI
14 Sep 2020
SCAI seminar room - Pierre and Marie Curie Campus - Jussieu
Data Science, Health Data and Artificial Intelligence
30 Sep 2020
Datacraft Paris - 66 rue des archives, 75003
Artificial Intelligence and Robotics: From Scientific Foundations to Ethical Issues
2 Oct 2020
Grand salon de la Sorbonne - 47, rue des Écoles, 75005 Paris
Applications of AI in Predictive Oncology and Clinical Research
21 Oct 2020
SCAI seminar room - Esclangon - 1st floor - Pierre and Marie Curie Campus - Jussieu
SCAI Abu Dhabi & THALES industrial chair of research on artificial intelligence
Hybrid Artificial Intelligence, Digital & Inter-agent cooperation for collaborative cognitive radar.
SCAI Abu Dhabi & TOTAL industrial chair of research on artificial intelligence
Deep Learning for Numerical Modeling: Production forecast and optimization of hydrocarbons fields
DL4CLIM - Deep Learning for Physical Processes with applications to Earth System Science
National research and teaching chair of excellence in AI
VISA DEEP - Towards visual reasoning in deep learning
National research and teaching chair of excellence in AI.
Data Assimilation for Hybrid physical-machine learning models. Application on the nowcasting of precipitations
The objective of this thesis is to explore the emergent field that combines the disciplines of Machine Learning and Data Assimilation.
SCAI’s research center is entirely devoted to AI in all its diversity, ready to meet the scientific challenges of tomorrow.
Mathematics, Computer Science & Robotics
Health, Biology & Medicine
Climate, Environment & the Universe
SCAI supports a large unified teaching center entirely devoted to education in AI at all levels, ready to meet the scientific challenges of tomorrow.