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EUROCC - National Competence Centres in the framework of EuroHPC – EUROCC
The Competence Centre provide skills mapping, training and service offerings for HPC, HPDA (High Performance) Data Analytics) and AI (Artificial Intelligence). The Centre offers access to its offers and services: Awareness, Training, user support, marketplace... CC-FR, the NCC France has been estab
ECOlogical and ECONomic trade-offs of VAluable invaSions: Insights, Opportunities and Novel Solutions – EconVasions
Invasive alien species (IAS) pose serious threats to biodiversity and ecosystem health, affecting human well-being. Many of those species have multiple roles, providing both benefits and burdens to ecosystems and stakeholders. Managing these Multiple-Role invasive species (MR-IAS) involves complex t
Digital Materials - An industrial Reality In Motion – RealIMotion
One of the European Union's climate change objectives is to achieve net-zero greenhouse gas emissions by 2050. This goal puts significant pressure on the metallic materials industry, a major contributor to fossil CO2 emissions, necessitating powerful digital strategies to design, improve, and calibr
Detection of False Data Injection Attacks on the ADS-B protocol in the civil and military air traffic control – DApIA
The DApIA project aims at developing capabilities to detect False Data Injection Attacks (FDIA) using Machine Learning components on air surveillance data from the ADS-B protocol. The objective of FDIA attacks is to corrupt the semantics of the surveillance data while preserving the correct syntax
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 automatic image-based biomonitoring of aquatic ecosystems – BIOINDIC-IA
Aquatic ecosystems are facing many anthropogenic pressures, highlighting the urgent need for developing innovative ecological diagnostic tools supporting the selection of robust management responses. Current diagnostic tools are able to estimate the ecological status from taxonomy-based (i.e. list o
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
Data and Prior, Machine Learning and Control – DeLiCio
We combine machine learning (ML) and control theory (CT) and address problems in control from two perspectives: - What can be modelled (CT) and what needs to be learned (CT)? - Can we provide, estimate or guarantee stability (CT)? - Can we estimate the complexity of the learning task and or the a
Data Science, Artificial Intelligence and Society
L’Institut DATAIA Paris-Saclay est l’institut d'intelligence artificielle de l'Université Paris-Saclay. Lauréat de l’appel à projets « Instituts Convergences » lancé par l’Agence Nationale de la Recherche (ANR) en 2017 et premier écosystème français en intelligence artificielle, DATAIA fédère
Data Access, Transparency of Algorithms and (data subject) Rights – DATARights
Online platforms play a growing role in the circulation of information and in the production of power asymetries in surveillance capitalism. Accessing the data that is necessary to study them is, however, no easy task, given that these platforms often function as closed black-boxes. Several recent s
