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Artificial Intelligence in Science and R&D: Applications and Implications – scientIA
Associated with the deluge of big data, Artificial Intelligence (AI) has gradually moved out of the fields where it sprung from - computer science and mathematics - to spread to all areas of scientific and industrial research. Introduced as an exogenous research technology, AI reshaped the scienti
Artificial Intelligence for clerMont – AIM
In the last few years, machine learning has become an increasingly important part of UCA’s research programs. In the last three years, at least 10 thesis on IA have been started and several laboratories are directly involved in a project related to IA. Key investments have been made in computing cap
Arithmetic of Shimura varieties and automorphic forms and Applications – ArShiFo
In recent years, p-adic methods (Fontaine Theory, Galois deformations) and geometric methods (deformations of varieties, local methods for Shimura varieties) have been used successfully to solve central problems of modern Number Theory. Let us mention -Serre's modularity conjecture, proven by Kh
Application of Artificial Intelligence for understanding and prediction of human and volcanic activity – AIACOPAHV
Nowadays, a key challenge in Earth observation and human behavior analysis, is data management and processing. Data acquisition of natural and human environment produces every day a large set of information from which more and more knowledge must be extracted and classified. Thus classical approache
Algebraic Aspects of Mapping Class Groups and Related Groups – AlMaRe
The mapping class groups of Riemann surfaces play a predominant role in several fields of mathematics, including algebraic geometry, differential geometry and low-dimensional topology. By a classical result of Dehn, Nielsen and Baer, these groups can be identified with the outer automorphism groups
Advanced Machine/Deep learning for Heterogeneous Large scale data – AML-HELAS
Professor M. Vazirgiannis is involved in data science research since the 1990’s, worked in different research areas of this domain maintaining significant scientific impact. He established and leads the Data Science and Mining group at LIX/École Polytechnique (ÉP), being active in attracting signifi
Accounting for the water interconnectedness within Mediterranean catchments under water shortage crisis and global changes – AQUEDUCT
Agriculture, both rainfed and irrigated, along with forest cover, emerges as the sectors using the most water in many Mediterranean countries. To address drought and water scarcity in Mediterranean catchments, one solution is to manage water demand and use by crop and forest covers. This entails: i
AI-Enhanced eDNA Solutions for Comprehensive Marine Biodiversity Monitoring and Reporting – ADNeIA
Human-induced pressures and climate change are having profound and growing impacts on marine ecosystems, making the continuous monitoring of biodiversity and ecological status increasingly vital. Effective monitoring requires the development, modeling, interpretation, and mapping of ecological inven
AI-Enhanced Monitoring Solutions for Anesthetized Patients – Anesth-IA
General anesthesia, although routine with 12 million cases annually in France and 300 million worldwide, presents challenges. 15-25% of patients undergo post-operative complications, increasing post-operative mortality, neurocognitive disorders, and burdening healthcare systems. Intra-operative hypo
AI by / for Human, Health and Industry – AIby4
The four founders of i-Site NExT (University of Nantes, Centrale Nantes, INSERM and CHU) are working on a roadmap to structure AI for Nantes aligned with the objectives of NExT (Future Health & Industry). The shared vision encompasses two levels: 1) develop own research in interdisciplinary manner t
