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A road toward safe artificial intelligence in mobility – Raimo
The rapid development of artificial intelligence is transforming the transportation sector, with autonomous vehicles representing a major disruptive innovation whose large-scale deployment remains uncertain. Despite ongoing real-world experimentation, broader acceptance and deployment are constraine
underground STOrage of reneWable ENergies in low permeability Geomaterials – STOWENG
Subsurface energy technologies will play a central role in the smooth transition towards a lower-carbon future. Storage of energy into underground reservoirs is one of the current solutions to solve energy production and consumption irregularities. The project investigates the effects of the long-te
Causes and consequences of invasions of aquatic ecosystems by non-native salmonids – SalmoInvade
Background: Salmonids are among the most important fish in Europe. They are targets for recreational and commercial fishery, part of our cultural heritage, and serve as flagship species for river restoration. Because of their value, salmonids have been translocated widely outside their native range
The Chirality of Genes – CHIRGEN
The asymmetric photochemistry of nucleotide precursor molecules at synchrotron SOLEIL is dependent upon on the chiroptical properties of these molecules and will most certainly initially yield only small enantiomeric excesses (e.e.s), as we have already observed for amino acids. Thus any asymmetry p
Sun light Nitrides and Oxi-Nitrides for energetic applications – SNON
Two main objectives: - first objective: the project manager will coordinate all the activity of the project by organizing at least one meeting per year between the representatives of each partner laboratory, one kick-off meeting at the beginning of the project and a final meeting. - second objecti
Physical and Intrinsic Security of Embedded Neural Networks – PICTURE
Today, a major challenge in Machine Learning (ML) is edge-deployed models and more particularly neural networks in a large variety of embedded platforms with high interests shown on porting deep neural networks (DNN) for inference purpose. Many reasons explain the direct use of neural networks on ed
STructuring by Inversion the Local InterStellar Medium – STILISM
Our objective is to provide a realistic and detailed three-dimensional (3D) mapping of the interstellar matter (ISM) distribution in the Sun vicinity, within a kiloparsec wide volume. This 3D distribution of gas and dust, based on the inversion of distance-limited data and their combination with int
