AnaestAssist vise à utiliser la modélisation pour créer des jumeaux numériques du système cardiovasculaire des patients, et grâce à cela à faciliter l’interprétation des signaux physiologiques qui sont mesurés sur ces patients. © Inria / Photo B. Fourrier Industrial partnerships Inria and Dassault Systèmes Form Strategic Alliance for a European Digital Trusted Platform 03/02/2022
© Inria / Photo G. Scagnelli Educational robotics Educational robotics : a pedagogical outreach tool 23/02/2021
Jan Vašek from Pixabay Artificial intelligence Building trust in AI through a better understanding of algorithms 09/06/2021
© Inria / Photo M. Magnin Institute Inria highlights its commitment to the French Recovery Plan 01/04/2021
Press release Lille teams are carrying out an IHU project on the prevention of metabolic-inflammatory diseases 08/11/2022
L'équipe de Malizen (de gauche à droite) : Simon Boche, Flavien Auffret, Romain Brisse, Damien Crémilleux et Christopher Humphries.© Inria / J-M Prima Cybersecurity ZeroKit, the innovative toolkit from Malizen start-up that visualizes intrusions into IT systems 28/05/2020
© Inria / Photo G. Scagnelli Health - Personalised Healthcare Towards an initial mathematical model of patient pathways 10/07/2023
© Inria / Photo H. Raguet Launch of 3d edition of CNIL-INRIA Privacy Award : Nominate a Scientific Article and Promote Privacy Research 17/05/2018
