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e-COL+, the enhancement of natural history data in France
Le projet e-COL+ a pour objectif de valori ser les collections naturalistes françaises par l’acquisition et la mise à disposition d’imagerie s de pointe en 3D. Débuté à la fin de 2021, e-COL+ a travaillé en 2022 à l’organisation du consortium, sa comitologie, la rép
LABEX pour la modélisation et la simulation scientifiques en recherche
Le projet Calsimlab se concentre sur des domaines de recherche actuellement très actifs : chimie computationnelle, biologie computationnelle et bioinformatique, visualisation scientifique. Il met en relation et en interaction des scientifiques au cœur et à l'interface de plusieurs disciplines : chim
Design of a versatile in silico fragment-based drug design tool – UniversalF2D
Fragment-Based Drug Design (FBDD) is an approach widely developed and used in academic laboratories and pharmaceutical companies for the past twenty years. Nowadays, several drugs approved by the FDA or advanced in clinical trials were discovered from FBDD. To go further and gain in time and efficie
DEEP Learning For Large Deep Imaging Programs – DEEPDIP
Understanding the origin of the accelerated expansion of the Universe, the formation of the large-scale structure and the galaxies embedded in it are the quests of modern cosmology. Huge observational and theoretical efforts are being made to address these fundamental questions. In this proposal, we
Deep Learning for Prediction of Judicial Outcome – LAWBOT
LAWBOT is first, an applied research project in law, on the use of automated natural language processing techniques. The LAWBOT project aims to create an artificial case-law intelligence capable of predicting the judicial outcome for a given case, by imitating the decisions previously rendered by th
Responsible AI – IA Responsable
The chair project will be incorporated into the framework of the European Union's policy on the ethics of artificial intelligence. The European Commission believes that the challenges for Europe in the field of AI are above all ethical and that guidelines should be set to gain the trust of citizens.
Cooperation between Driver and Intelligent Automated Vehicle – CoCoVeIA
The challenges for automating vehicles in situations other than lane keeping and interdistance regulation require that systems be upgraded to have the necessary skills to control the vehicle in complex cases such as crossroads or roundabouts. But how to make sure that the developments do not last fo
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
SeQuaMol- Semen quality and fertility in bulls - Dvelopment of new molecular tools for diagnostic – SeQuaMol Consolidation
Reproductive efficiency is a key factor in effectiveness of the cattle breeding sector. Subfertile bulls are responsible for production losses and increase cows culling rates, resulting in significant economic losses and waste of resources. That’s why special attention is paid to quality control of
Phosphoinositides, cytoskeleton and platelet activation – PHOSPHOINOPLAT
Platelets are critical for normal haemostasis but are also centrally involved in pathological processes like thrombosis and atherosclerosis. Their deregulation can lead to bleeding or to arterial thrombosis, a primary cause of heart attack and ischemic stroke. Recently, they have also been implicate
