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Artificial Intelligence with Microwave Spintronic Nanodevices – SPIN-IA
SPIN-IA is an interdisciplinary project which objective is to develop the foundations for an hybrid CMOS/spintronics chip accelerating Artificial Intelligence. Recently, UMPhy and C2N, with the participation from Thales, have obtained pioneer results showing that magnetic tunnel junctions can achiev
Université Paris-Saclay Doctoral Programme in Artificial Intelligence – UDOPIA
Research in AI at UPSaclay focuses on fundamental issues related to AI, machine learning and data science, as well as on their operational applications in engineering, health and the environment, to name a few. First circle: Basic AI and Data Science UPSaclay covers a wide range of fundamental top
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
EXploitation of planT wastes as a sustainable souRce of Anti-inflammatory Compounds for Therapeutics – EXTRACT
Chronic inflammation is associated with a broad spectrum of diseases. To combat this complex process, there is today a renewed interest in medicinal plants. It is however important to diversify biological resources in order to avoid any risk of depleting the widely used native European plants, like
Microstructural modelling of rapidly solidified droplets and spray formed strip of Al-Cu-Sc – MIMOSA
Solidification of alloys is a complex phenomenon arising in many modern experimental techniques and industrial technologies related to casting and surfaces processing. The variation of different conditions of solidification (such as undercooling or cooling rate) gives a possibility to control the mo
Innovative Common Laboratory for Space Spectroscopy – INCLASS
Recently, there is an increase in the use of spectro-imagers in space missions for astronomy and Earth observations. The main challenge for their exploitation is the combination of data sets from different instruments or satellites to produce improved data products, and to reconstruct high quality
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
Mechanical forces in IntraCranial aneurysm: Understanding the role of Rho proteins signaling – MICRO
Intracranial aneurysm is an asymptomatic cerebrovascular abnormality characterized by focal dilation of the vascular wall, affecting approximately 3% of the general population. Its rupture is unpredictable and leads to subarachnoid hemorrhage, which can cause neurological sequelae or lead to death i
Quantum Control for Atom Interferometry – CoQuIA
The objective of the CoQuIA project is to optimize the efficiency and robustness to environmental variations of laser beamsplitters in atomic interferometers, through novel pulse shaping methods that take advantage of unconventional optics and optimal quantum control methods. The new methods and ke
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
