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Nano-Opto-Electro-Mechanical Integrated Oscillator Arrays for Energy-Efficient Physical Reservoir Computing – NOEMIA
20% of the global energy production soon will be consumed by Information and Communications Technology (ICT) and the consumption will be further accelerated with rapid and broad adoption of Artificial Intelligence (AI) where demand on energy-hungry machine learning models is increasing. NOEMIA will
Nano-technology and Artificial Intelligence for Next-gen Optical information Storage – NAINOS
Classical optical storage concepts like the Blu-ray are physically constrained in their information density by the optical diffraction limit. We propose a disruptive concept for next generation optical storage, combining silicon nanostructures, photonics and machine learning (ML). We design nano-str
Natation et Paranatation: Tous Unis pour Nos Etoiles
Le projet NePTUNE regroupe 13 partenaires dont deux fédérations sportives (FFN et FFH) et poursuit trois axes en accord avec le 5ème défi (Apprentissage et Optimisation de la performance), le 7ème défi (Big Data et Intelligence Artificielle au service de la performance) et le 9ème défi (Spécificité
Natural Interactions, Knowledge, Immersive system for Training in Aeronautic – NIKITA
A real need of technological tools for training in professional aspects appears. It is the case in particular in the field of the aeronautics where the simulations without risks for the product and the learner, and the adaptability and the personalisation of tools would be main advantages. The virtu
Naval Artificial Intelligence Autonomous Drones – NAIAD
Traditionally, the navigation and localisation capability of drones has been placed in the background of technological solutions capable of ensuring better localisation. NAIAD aims to overcome the limitations caused by uncertain location by using automatic artificial intelligence planning techniques
Network for studying Entrainment and microPHysics of cLouds using Adaptive Exploration – NEPHELAE
Atmospheric models still suffer from a gap between ground-based and satellite measurements. As a consequence, the impacts of clouds on our climate remain one of the largest uncertainties in numerical weather prediction (NWP) and in understanding climate change. Aerosol-cloud interactions, moist con
Neural mechanisms of learning and representing hidden task structures to afford generalization in problem solving – STRUCTGEN
Humans are adept at generalizing previous experiences to find novel solutions to problems. This behavioral flexibility is a hallmark of human intelligence while it is often severely impaired in patients with psychological and mental disorders and remains a key challenge for most artificial intellige
Neural networks underlying temporally structured behavior – Cano-T
High-level cognitive processes such as planning, reasoning or language rely on temporal sequences of mental events. Recent studies of animal behavior have characterized the temporal structure of sequences of elementary behavioral events with similar concepts than those used to describe language, suc
Neuro-Incremental Reinforcement Learning from Human Preferences – NeuRL
In the near future, intelligent agents will be ubiquitous in our daily lives, replacing or assisting humans on a variety of tasks. Reinforcement Learning (RL) is a framework for learning such sequential decision making tasks from data. RL has had several achievements, particularly in game domains,
Neurotechnology User Training System – NUTS
Despite their current lack of reliability, brain-computer interfaces (BCIs) based on motor imagery hold promise for a wide range of clinical and non-clinical applications. The user training that these technologies require, during which people learn to control their own brain activity, is a significa
