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Ethical risks management in Industry 4.0 – ETHICS40
Based on the integration of modern technologies, the industrial systems of the Future combine performance, flexibility and productivity. However, they are characterized by an increase in their autonomy and a profusion of data produced and manipulated, which can lead to poorly controlled decisions an
Deep generative and inference models for weakly-supervised speech enhancement – DEGREASE
Remote human interaction and human-machine interaction require reliable speech-processing technologies that can work in unconstrained real-world acoustic conditions. Speech recordings are inevitably contaminated by interfering sound sources and by the presence of reverberation. Whether for human or
Funerary composting: use of Participatory Action Research to support a social transition – F-COMPOST
This research program results from a demand arising from civil society, which claim studies focusing on funerary composting. In this funeral process process, the body of the deceased is placed on a layer of plant shavings, then covered with the same material. Due to the natural degradation by aerobi
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
Learning the rules establishing the DNA replication landscape – RepliLand
DNA replication is a fundamental process of the cellular cycle. In metazoan replication starts stochastically at multiple sites called origin of replication. The factors responsible for selecting (i) the location of potential origins by origin licensing in the G1 phase and (ii) which potential origi
Training CHIldren reading Comprehension skills with Adapted Artificial Intelligence – CHICA-AI
The 2019 PISA study shows that 20% of French 15-year-old students have severe difficulties in reading and that socio-economic gaps widen the differences in levels. Lalilo intends to reduce these inequalities by developing an online platform based on artificial intelligence to differentiate reading l
Spectral Panoptic Analysers of Gamma rays in Hydrothermal Environments for Transport Time Inference – SPAGHETTI
We propose to develop a new approach for continuous, high-frequency monitoring of radon gas in all manifestations of volcanic hydrothermal systems (fumaroles, hot water springs, acidic lakes, soil diffuse degassing). The analysis of these fluids is fundamental to understand and monitor heat and chem
Graph Neural Networks for Robust AI/ML-driven Network Security Applications – GRAPHS4SEC
The application of Artificial Intelligence (AI) and Machine Learning (ML) to network security (AI4SEC) is paramount against cybercrime. While AI/ML is mainstream in domains such as computer vision and natural language processing, traditional AI/ML has produced below-par results in AI4SEC. Solutions
linking artificial intelligence, the media, press content, journalists and readers – SYNAPSES
The Synapses joint laboratory, involving the Linkmedia research team specializied in artificial intelligence and Ouest-France, has a dual objective. Firstly, to apply automatic analysis techniques to make effective use of the newspaper's vast multimedia archives, as well as its daily journalistic ou
Distributed Intelligence for Enhancing Security and Privacy of Decentralised and Distributed Systems – Di4SPDS
Decentralised and distributed systems can support business with needs relating to computing and processing capacity in real time. However, these systems are constantly facing challenges from the sophisticated cyber-attack which are evolved and propagated different parts of the system to pose any pot
