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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 optica
Nano-Opto-Electro-Mechanical Integrated Oscillator Arrays for Energy-Efficient Physical Reservoir Computing – NOEMIA
with rapid and broad adoption of Artificial Intelligence (AI) where demand on energy-hungry machine learning
NEuroMorphic hardwarE for Smart vIsion Sensor – NEMESIS
from visual scenes. The main focus of these intelligent retinas is not to provide the highest image quality
NAVigation In DOcument MASSes – Navidomass
investigate on pattern recognition, artificial intelligence and multimodal interfaces domains to build
Méthodologies avancées pour la modélisation des systèmes interdépendants - applications en physique expérimentale – METAMODEL
task in this project will be the development of intelligent triggers that separate noise from events. We
Multivariate Analysis and Knowledge Inference for Musical Orchestration – MAKIMOno
This project pave the way for a whole new research fields on the perception and learning of sound mixtures, which wa still an entirely unexplored topic. The impact of this project can be directly evaluated in its numerous outputs and several prizes obtained in a variety of application domains (scientific and artistic alike). Furthermore, pragmatic outputs such as first-of-kind hardware and software were directly produced and are already distributed freely, along with a unique knowledge database.
Multiscale modeling: from Electromagnetism to the GRID – MEG
miniaturized systems embarking more and more intelligence both at the physical and the software layer
Multiscale Sensing For Disease Monitoring In Vineyard Production – MERIAVINO
Meriavino project aims at helping winegrowers to access real-time information and diagnosis for agronomic decisions. The objective is to supervise daily processes using multi-sensing cameras, and Agriculture Internet of Things (AIoT) devices in order to interconnect the vineyard parcels, as well as to develop a non-invasive, eco-friendly and low-cost technology for vineyard monitoring, allowing high precision analysis.
