Search for a funded project
Belief Change for Better Multi-Source Information Analysis – BE4musSIA
Suppose that you receive a continous flow of possibly conflicting pieces of information from several sources of initially unknown reliability. From these pieces of information you need at all times to i) form your opinion ii) evaluate the reliability of the sources. The aim of this project is to study the two aforementioned tasks, and to perform them conjointly in order to obtain the best possible evaluation.
Towards visual reasoning in deep learning – VISA DEEP
In the last decade, Machine Learning and Deep Learning have been at the heart of a technological and scientific revolution. It is a rebirth for Artificial Intelligence with huge advances in automatic translation, audio understanding and computer vision. Driven by these breakthroughs, many application fields are concerned. They involve complex reasoning tasks.<br />L. Bottou discusses several approaches to implement machine reasoning. Following his comments on differences between first order logic reasoning, probabilistic reasoning and others, in this AI chair project, we are focusing on trainable reasoning systems suitable for visual understanding tasks.
Sequential and Active Learning for Optimization – SeqALO
Sequential and Active Learning for Optimization
From local diversity to transnational institutionalization: The emergence of the European Unified Patent Court – UNIFIED
The UNIFIED project pursues research on a transnational institutional convergence in the context of geographically and legally fragmented judicial practices in Europe. In particular, the project focuses on an empirical case of an emergence of a European institution in a real life, the European Unified Patent Court (UPC) that will be exclusively competent for patent-related legal disputes Europe-wide.
Deep Learning for Physical Processes with applications to Earth System Science – DL4CLIM
The project targets the development of Deep Learning (DL) methods for the modeling of physical processes. The application domain is environment and climate.
TopAI: Topological Data Analysis for Machine Learning and AI – TopAI
Topological Data Analysis for Machine Learning and AI
Propositional Reasoning for Large-Scale Optimization. Application to Clean Energy Mobility Issues – Massal'IA
Propositional reasoning has been already successfully used in real optimization. However, the state of the art does not allow to treat more complex information. This proposal aims at obtaining significant advances in automatic reasoning and large-scale optimization by combining propositional reasoning (SAT and Max-SAT) and machine learning, by taking into account complex information with incomplete and uncertain data that are evolving over time.
Unraveling the pathophysiology of Bethlem Myopathy using a unique zebrafish model for the disease – FishandCol6
Bethlem myopathy (BM) is a misunderstood and uncurable disorder characterized by abnormal contractures and muscle weakness. The BM results from mutations in one of the genes encoding the 3 major a-chains of collagen VI (ColVI), a component of the myomatrix, but the mechanisms of action have not been elucidated. Our working hypothesis is that muscle dysfunction caused by BM mutation results from alteration in muscle excitation and/or intracellular Ca2+ homeostasis.
Plateforme de la Fédération Gay-Lussac
gommer certaines des difficultés de l’année 2020-2021 ; (ii) d’accompagner des étudiants en situation
Hybridation@CY
établissements pour réussir la rentrée et l'année 2020-2021 Former et reconnaitre
