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Towards human AI – VIVAH
The programme strategy of the University of Artois is to promote and conduct core research on explainable AI as well as quality interdisciplinary research on important issues in Social Sciences and Chemistry. Two application domains, Health and Retail, considered as priorities by Region Hauts-de-Fr
Artificial Intelligence for clerMont – AIM
In the last few years, machine learning has become an increasingly important part of UCA’s research programs. In the last three years, at least 10 thesis on IA have been started and several laboratories are directly involved in a project related to IA. Key investments have been made in computing cap
Advanced Machine/Deep learning for Heterogeneous Large scale data – AML-HELAS
Professor M. Vazirgiannis is involved in data science research since the 1990’s, worked in different research areas of this domain maintaining significant scientific impact. He established and leads the Data Science and Mining group at LIX/École Polytechnique (ÉP), being active in attracting signifi
Propositional Reasoning for Large-Scale Optimization. Application to Clean Energy Mobility Issues – Massal'IA
We are in a scenario where SAT-based problem solving is highly competitive on decision problems, and Max-SAT-based approaches have been proposed for optimization problems. Max-SAT is a consolidated research line, but the performance of the solvers needs to be improved for large scale real applicatio
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.
A road toward safe artificial intelligence in mobility – Raimo
The rapid development of artificial intelligence is transforming the transportation sector, with autonomous vehicles representing a major disruptive innovation whose large-scale deployment remains uncertain. Despite ongoing real-world experimentation, broader acceptance and deployment are constraine
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
Multiscale Sensing For Disease Monitoring In Vineyard Production – MERIAVINO
The Meriavino project aims to help winegrowers access real-time information and diagnostics to make agronomic decisions. The aim is to improve monitoring processes using multi-scale remote sensing and Internet of Things (IoT) devices, on interconnected vineyard plots, with a non-invasive, eco-friend
Restoration of excitation/inhibition balance to modulate motoneuron degeneration in ALS – SynaptALS
Amyotrophic Lateral Sclerosis (ALS) is a fatal motoneuron (MN) disease with onset in the fifth-sixth decade and progressive muscle paralysis. Yet, there is neither preventive nor therapeutic approach that can stop, significantly delay, or prevent disease progression. Several lines of evidences, larg
Mediated Decisions. Origins, uses and effects of ‘predictive justice’ algorithms on judicial processes – JUST-IA
JUST-IA aims at understanding the development and effects of algorithmic devices on the processing of cases and judicial decisions. The socio-historical part of the project deals with the genesis of these systems and the controversies, which have surrounded their development in the context of the op
