Challenge FedMalin Federated MAchine Learning over the INternet (FedMalin) In many use-cases of Machine Learning (ML), data is naturally decentralized: medical data is...
Exploratory action HLI Humanlab Inria The Humanlab Inria (HLI) exploratory action aims to create a model of collaboration between INRIA...
Exploratory action JoDaIA Harnessing Data and AI for Journalism Journalism is a creative industry with strong ethical foundations. As the world surrounding us goes...
Exploratory action LiveIt Feeling and perceiving the symptoms of schizophrenia in augmented reality to reduce stigma The symptoms of schizophrenia are difficult to visualise and this often leads to significant...
Exploratory action MARCQ Méthodes hybrides couplant Apprentissage par Renforcement et méthodes de Contrôle optimal des edp pour l’ordinateur Quantique
Exploratory action META4QIP Coding the Future : Metasurface for Quantum Information Processing Metasurfaces are flat structures that possess extraordinary abilities to manipulate light in ways...
Exploratory action NO-BIF Structural optimisation of dynamic mechanical systems with bifurcation The design methods for mechanical structures (aeronautics, aerospace, transport, energy production...
Challenge OS Eliminating the Utilization Gap in Data Centers Data centers are today at the heart of all computing, from providing the computing power that...
Exploratory action POPEG Wave propagation using Gaussian states Galerkin methods can numerically approximate time-harmonic waves by combining "basis functions"...
Exploratory action QAT Quantum Computing Architectures Algorithms Applications and their Theory (QAT) Quantum information processing is about finding algorithms and protocols t hat can solve problems...
Challenge ROAD-AI Toward smart Augmented & Integrated Roads and infrastructures Integrated management of infrastructure assets is an approach which aims at reconciling long-term...
Exploratory action AM2OR Adaptive Meshes for Model Order Reduction Mesh adaptation and Model Order Reduction both aim at reducing significantly the computational cost...