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Artificial intelligence on FPGAs: a breakthrough for data acquisition in high energy physics experiments and beyond – AIDAQ
The growing processing power of high-end FPGAs (Field Programmable Gate Array) opens new cutting-edge technological opportunities combining the powerful potential of Artificial Intelligence algorithms to big data processing capabilities (100Tb/s). Overcoming this major technological challenge opens
emergency transport optimized by Artificial Intelligence, automatic natural language processing and deep learning – SADIAND
The SADIAND joint laboratory is part of a context that favors the development of artificial intelligence, with increasingly large volumes of available data, ever more powerful algorithms and machines, and greater complexity in decision-making due to an uncertain and changing environment. Its applica
Artificial Intelligence for Health and Environment – AXIAUM
The AXIAUM project focuses on raising innovative interdisciplinary research topics on health and environment related to artificial intelligence (AI) with the scope of developing both new methodologies and finalized research. The ambition of the programme proposed by the consortium University of Mont
Increasing Resilience of Smallholders with Multi-Platforms Linking Localized Resource Sharing – RESILINK
RESILINK builds resilience through real-time information exchange and generalized & localized resources sharing. It will leverage advanced digital technologies to propose sophisticated but easy to use/affordable solutions adapted to the smallholder communities. In RESILINK, simple, intuitive and mul
Dysarthria in Parkinson's disease: Lusophony vs. Francophony – FraLusoPark
Parkinson’s disease (PD) affects between 1% and 2% of the world’s population aged 60 and older; in Europe the prevalence is around 150 PD patients per 100,000 individuals. PD is classically characterized by a symptomatic triad that includes rest tremor, akinesia and hypertonia and although the motor
Fusion of Heterogeneous Components by Articial Intelligence – FUSCHIA
INPIXAL specializes in collecting and processing images from drones for ISR (Intelligence, Surveillance, Reconnaissance) missions for military and civil purposes. The experience accumulated during experiments or operational missions for the DGA or institutional clients shows that, while the performa
Distributed AI for the Operating Room – DAIOR
DAIOR (Distributed Artificial Intelligence for the OR) aims to develop AI-driven technologies to improve outcomes of patients undergoing surgery, by integrating and analysing massive multimodal data generated in the operating room (OR) in real time through a distributed approach. We envision a futur
Explaining Robustness And deriving Robust Explanations – ERARE
The project ERARE aims to develop novel approaches to generate robust explanations in constrained environments (e.g. frugal AI, contexts with limited access to resources or contexts where data is limited or flawed with incompleteness or impreciseness). It also aims to go beyond explaining model deci
Learning Cyclotron – LeCycl
The aim of this project is to augment and amplify human intelligence by artificial intelligence. In particular, we propose and develop Learning Cyclotron (LeCycl), a framework which monitors and actuates their learning processes. The cyclotron of LeCycl is a framework in which learners acquire know
Microscopic Intelligibility Modeling – MIM
Our project has two goals: a) make machines recognise speech more like humans do, and b) validate our understanding about human speech perception through the use of data-driven techniques. MIM aims at proposing computational models that predict human speech recognition at a fine resolution. Current
