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Laboratory of Hydrological forecasting by Artificial Intelligence – Hydr.IA
The LabCom project associating the Hydrosciences Montpellier (HSM) research unit and the SYNAPSE company aims at developing a suite of hydrometeorological forecasting services based on artificial intelligence (AI) techniques. HSM is the leader research unit in the French environment for using artifi
HYPHES: IA & RO for a systemic approach to the management and resilience of urban infrastructure networks: energy, mobility, logistics – HYPHES
Within urban areas, the management of mobility, both the mobility of people and urban logistics and the management of energy, from its production to its consumption, including its distribution and storage, can no longer be thought of. independently, in a logic of silos, if these territories want to
Encapsulation of metabolically standardized MSC as a novel osteoarthritis therapy – METAB-OA
Osteoarthritis (OA), the most prevalent joint disease, is characterized by structural and functional alterations of all joint components. The most promising cell-based therapy approach for OA relies on the use of pleiotropic mesenchymal stromal/stem cells (MSC) that display tissue-protective and imm
Mediated Decisions. Origins, uses and effects of ‘predictive justice’ algorithms on judicial processes – JUST-IA
JUST-IA aims at understanding the development and effects of algorithmic devices on the processing of cases and judicial decisions. The socio-historical part of the project deals with the genesis of these systems and the controversies, which have surrounded their development in the context of the op
HYPer-Spectral near-field microscope in Terahertz Extended Range – HYPSTER
Electromagnetic radiation at mid-infrared (MIR) and terahertz (THz) frequencies (0.1 – 100 THz) addresses a rich variety of light-matter interactions. Unfortunately, diffraction limits the spatial resolution of classical far-field microscopes to nearly half the radiation wavelength, which lies in th
Scalable and robust representation learning on graphs – GraphIA
Graph data appear in almost all disciplines. Developing machine learning algorithms for graphs is a crucial task, with a plethora of interdisciplinary applications. As a prominent paradigm, network representation learning aims to embed nodes in a low-dimensional space, preserving the structural prop
Multiscale Sensing For Disease Monitoring In Vineyard Production – MERIAVINO
The Meriavino project aims to help winegrowers access real-time information and diagnostics to make agronomic decisions. The aim is to improve monitoring processes using multi-scale remote sensing and Internet of Things (IoT) devices, on interconnected vineyard plots, with a non-invasive, eco-friend
Restoration of excitation/inhibition balance to modulate motoneuron degeneration in ALS – SynaptALS
Amyotrophic Lateral Sclerosis (ALS) is a fatal motoneuron (MN) disease with onset in the fifth-sixth decade and progressive muscle paralysis. Yet, there is neither preventive nor therapeutic approach that can stop, significantly delay, or prevent disease progression. Several lines of evidences, larg
Deep Learning for Prediction of Judicial Outcome – LAWBOT
LAWBOT is first, an applied research project in law, on the use of automated natural language processing techniques. The LAWBOT project aims to create an artificial case-law intelligence capable of predicting the judicial outcome for a given case, by imitating the decisions previously rendered by th
EUROCC - National Competence Centres in the framework of EuroHPC – EUROCC
The Competence Centre provide skills mapping, training and service offerings for HPC, HPDA (High Performance) Data Analytics) and AI (Artificial Intelligence). The Centre offers access to its offers and services: Awareness, Training, user support, marketplace... CC-FR, the NCC France has been estab
