Project-team EVERGREEN Earth obserVation and machine lEarning foR aGRo-Environmental challENges The EVERGREEN team actively works on the design and implementation of cutting-edge machine learning...
@NASA/JPL-Caltech/SwRI/MSSS/kevin M.Gill/VR2Planets/2023 Industry of the Future Space: Inria and CNES join forces to build the satellites of the future 08/04/2024
© Inria / Photo G. Scagnelli Health - Personalised Healthcare Towards an initial mathematical model of patient pathways 10/07/2023
©vegefox.com - stock.adobe.com Data analysis Another form of artificial intelligence with graph learning 11/05/2023
Rails de tramway partiellement enfouis dans le sol - © Unsplash - Chris Curry Industry of the Future Mathematics applied to seeking out structural defects 23/03/2023
9–10 March 2023 Communication - Event Workshop LARGR Lille 2023: conferences on statistical learning for graphs Location : Centre Inria de l'Université de Lille
© Inria / Photo C. Morel Frugal digital innovation Machine learning: how to combine learning efficiency and digital sobriety 11/04/2022
© Quim Roser - PAL Robotics European partnerships Spring, the makings of realistic social robotics 16/12/2021
Transport ROAD-AI, a Challenge for more sustainable, safer and more resilient road infrastructure 31/08/2021
©jcomp - fr.freepik.com Transport Perf-AI: reducing the environmental impact of air traffic 22/03/2021
© Pixabay - photo David Mark The Inria London Programme: bringing France and the UK closer together through research 29/01/2021