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Efficiency and reliability enhancement of a multi-source DC microgrid dedicated to residential applications by integrating bi-Level managements – EREMITE
Efficiency and Reliability Enhancement of a Multi-Source DC Microgrid Dedicated to Residential Applications by Integrating Bi-Level Managements
EXPlainable artificial intelligence: a KnowlEdge CompilaTion FoundATION – EXPEKCTATION
also to figure out how to make explanations intelligible by taking into account a user model. We will
Distributed deep learning for classifying multimodal, uncertain and rare data in ophthalmology – ADMIRE
Artificial intelligence in Health, and in Ophthalmology in particular, has been very successful over [...] in the progressive enrichment of artificial intelligence (AI). In addition to a retrospective analysis [...] models in training. This also raises artificial intelligence challenges. This requires the ability to manage
DeepCuriosity: Curiosity-driven exploration and curriculum learning in AI with applications to autonomous agents, automated discovery and educational technologies. – DeepCuriosity
scientific approach to autonomous artificial intelligence and lifelong machine learning. While deep r
Deep Learning for Constraint Optimization – DELCO
This project aims at building on recent progress in game playing and deep reinforcement learning to design a new generation of more general constraint satisfaction and optimization solvers.
Decision system for smart management of resources in warehouses – AGIRE
The project AGIRE addresses the human resources management in warehouses which supply either sale points (B2B) or final consumers (B2C). Such warehouses are under pressure due to the no inventory policy at the sale points and to the constant growth of e-commerce sales. In terms of logistics, this translates into an increasing number of parcels to prepare and to ship to satisfy an order, which is known typically a few hours in advance.
Deciphering continuous MOLecular MOVements of BIOmacromolecular complexes by new cryo-Electron Microscopy image analysis methods – EMBioMolMov
combination with image analysis and artificial intelligence methods. The new approaches will be useful for
Data and Prior, Machine Learning and Control – DeLiCio
We propose to combine machine learning and control theory for sequential decision-making of multiple agents. The project proposes fundamental contributions: adding stability to the algorithms of reinforcement learning; data driven methods for robust control; hybrid ML / CT methods for multi-horizon control and planning; decentralized control. The methodological contributions of this fundamental IA project will be applied to the robust control of UAV fleets
Cooperation between Driver and Intelligent Automated Vehicle – CoCoVeIA
The challenges for automating vehicles in situations other than lane keeping and interdistance regulation require that systems be upgraded to have the necessary skills to control the vehicle in comple
Constrained Semantic Web of Things – CoSWoT
Constrained Semantic Web of Things