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Hybridation@CY
Le projet Hybridation@CY s’est structuré autour de 2 principaux axes?: Axe 1 : Renforcer structurellement les établissements pour réussir la rentrée et l'année 2020-2021 Former et reconnaitre l’investissement de la communauté enseigante?:
Plateforme de la Fédération Gay-Lussac
La Fédération Gay-Lussac (FGL) est un réseau disciplinaire composée de 20 écoles d’ingénieurs. Elle regroupe la quasi-totalité des écoles françaises d'ingénieurs spécialisées en Chimie et en Génie des Procédés. Depuis plus de 25 ans, la FGL travaille et renforce son action sur l’articulation
Paris Nord Graduate School in Mathematics and Computer Science
L’École Universitaire de Recherche « Paris Nord Graduate School in Mathematics and Computer Science » (PNGS-M&CS) est une formation de haut niveau sur 5 ans (master et doctorat), fortement ouverte à l’international. Elle est hébergée par l’Université Sorbonne Paris Nord, avec le partenariat du C
Graduate Research And Education in Lille
Le projet GRAEL vise à mettre en cohérence l’offre de formation de l’Université de Lille avec sa stratégie de développement en recherche et à l'international. L’objectif est de former des chercheurs ou des cadres d’un très haut niveau scientifique et technologique, qui pourront intégrer aussi bien
Solar light-driven photocatalytic processes for methane chemical conversion – SOLARMETACHEM
The specific project targets are summarized below: - Nanoengineering of new nanocomposite materials for the efficient coupling of methane to ethane and higher hydrocarbons, occurring at room temperature in the presence of UV and visible light; - New fundamental information about physico-chemical,
Novel materials as electrode and electrolyte components in fuel cell technology – C-MOF.cell
The overall objective of the project is to develop more efficient and affordable fuel cells using advanced functional materials. Four specific objectives will be reached using a complementary approach: 1) exhaustive theoretical screening and understanding of mechanisms occurring in advanced multifun
Analyzing Large Scale Geometric Data Collections – AIGRETTE
Our ultimate goal is to design novel learning techniques capable both of handling geometric data directly and of combining and integrating different data sources into a unified analysis pipeline. Achieving these goals will require developing new techniques for both representing geometric data in
Shared-Control Algorithms for Human/Multi-Robot Cooperation – MULTISHARED
Robots perform actions in the real world according to their perception and understanding of the environment, as they physically interact with it. The ensemble of these abilities of sensing, interpreting, modelling, predicting, and interacting with the physical world are concrete applications of Arti
Bridging Artificial Intelligence and Neuroscience – BrAIN
Artificial intelligence (AI) with recent progress in statistical machine learning (ML) is currently aiming to revolutionise how experimental science is conducted. In physics, chemistry, biology, neuroscience or medicine, data is now the driver of new theoretical insights and new scientific hypothese
Modeling and Extracting Complex Information from Natural Language Text – NoRDF
We want to enrich knowledge bases with events, causation, conditions, precedence, stories, negation, and beliefs. In particular, we will investigate the expression of sentiment. We want to extract this type of information at scale from structured and unstructured sources, and we want to allow mac
