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Idex UCA JEDI
Le fait le plus marquant de l’année 2019 est la création de la nouvelle université expérimentale Université Côte d’Azur (UCA), sur la base d’une double restructuration : restructuration des contours externes de l’université avec l’intégration de 5 établissements-composantes (OCA, Villa Arson, Cirm,
Hybrid Eco Responsible Optimized European Solution – HEROES
Bridging the gap between HPC and IA/ML user communities and HPC Resources is key to unleash Europe’s innovation potential. A lot of effort is done to build the European technologies able to deliver centralised, petascale/exascale HPC & ML. It is equally important to make such resources easily and r
High-throughput combinatorial and autonomous pathways in Solid State Chemistry
Ces dernières années, des approches originales ont été développées pour accélérer la découverte de nouveaux matériaux : La voie combinatoire et la voie de recherche autonome. La voie combinatoire permet la production de librairie de matériaux contenant formellement plusieurs centaines voire milliers
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
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
Generative Modeling of Anatomy for Quantification and Medical Image Segmentation – AnatomIA
Anatomical digital twins derived from medical images are key enablers of computer-aided diagnosis or prognosis, treatment planning or subtype discovery. We posit that recent advances in generative AI (diffusion models, LLM-like models) will bring about significant benefits towards better image-based
Generate & Learn & Detect – Detection by AI of falsification of business data with generation of tests on attack patterns – GeLeaD
Summary of the GeLeaD project proposal: Defense control systems (type C2, C4ISR)1 and civil (type SCADA, Robotics 4.0, IoT, connected vehicle,...) are exposed to cyber attacks by falsification of business data. These attacks, commonly known as FDIA - False Data Injection Attacks - are difficult to d
General pUrpose dIalogue-based DigitAl iNformation acCEss – GUIDANCE
- How to design new LLMs or re-use LLMs for DbIA; - How to leverage retrieval-Enhanced Machine Learning (ReML) techniques to improve the accuracy and efficiency of information retrieval systems; - Adapt LLMs and develop new architectures (for DbIA models) to deal with low resource and domain adapt
Functional and structural studies of TSSP, a novel serine protease that diversify the functional CD4 T cell repertoire and controls spontaneous autoimmune diabetes in NOD mice – TSSP
TSSP is a new protease that controls by yet unknown mechanisms the development of self-reactive T cells directly involved in the development of autoimmune diabetes. The main objective of this project are to elucidate TSSP function and finds potential substrates. Beside fundamental knowledge in the
