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The AXIAUM project focuses on raising innovative interdisciplinary research topics on health and environment related to artificial intelligence (AI) with the scope of developing both new methodologies and finalized research. The ambition of the programme proposed by the consortium University of Mont

The MINDS Thesis Program (MINES Initiative for Digital Science and Data) concerns several research centers at MINES ParisTech with strategically research programs on Health, Transportation, Security and Defense and Environment. Although the initiative works to support research in a variety of fields

The University of Orléans benefits from an important research environment in Artificial Intelligence (AI) with both fundamental and applied research activities. It is supported by three laboratories: LIFO (Laboratoire d’Informatique Fondamentale de l’Université d’Orléans), IDP (Institut Denis Poisso

Artificial Intelligence spreads and disseminates very quickly in all fields, providing big changes and numerous new opportunities. In particular, AI impacts all research and application areas of engineering, and this effect will continue to increase in the near future. For this reason, AI is a key

Nowadays, a key challenge in Earth observation and human behavior analysis, is data management and processing. Data acquisition of natural and human environment produces every day a large set of information from which more and more knowledge must be extracted and classified. Thus classical approache

The AI_PhD@Lille program is proposed by the University of Lille (ULille) in collaboration with the Inria center of Lille in the context of the Initiatives for Science, Innovation, Territories and Economy (I-SITE) ULNE. It is a complementary application to the one of Centrale Lille. ULille and In

Research in AI at UPSaclay focuses on fundamental issues related to AI, machine learning and data science, as well as on their operational applications in engineering, health and the environment, to name a few. First circle: Basic AI and Data Science UPSaclay covers a wide range of fundamental top

Research and education in AI and Data Science is one of the priorities defined in the strategic plan of the Institute Polytechnique de Paris (IP Paris). The research teams of IP Paris have internationally recognized expertise in diverse fields of AI ranging from the core of theory and methods (learn

The four founders of i-Site NExT (University of Nantes, Centrale Nantes, INSERM and CHU) are working on a roadmap to structure AI for Nantes aligned with the objectives of NExT (Future Health & Industry). The shared vision encompasses two levels: 1) develop own research in interdisciplinary manner t

Université de Lorraine (UL) has a long tradition of IA research initiated in the 1970s by Prof. Haton. This research gave birth to research groups on speech recognition, knowledge discovery, multi-agent systems, robotics, augmented reality, recommender systems, etc. UL is also internationally recog

Aix-Marseille University (AMU) via the A*Midex Foundation is a candidate for the call “Contrats doctoraux en Intelligence artificielle établissement”. The doctoral programme AIDoc@AMU we propose within the framework of this call is in line with the policy pursued in recent years by AMU, which has en

AI by UBx is a proposal of the University of Bordeaux built conjointly with the center Inria Bordeaux-Aquitaine to accelerate the ongoing development of Bordeaux as an AI reference center thanks to a proactive policy to attract national and international talents in innovative Ph.D tracks. The overal

In 2018, The Université de Lyon, with its institutional members and the scientific federation "Computer science in Lyon", jointly led a thorough study that identified the numerous strengths and assets of the local academic players on Artificial Intelligence and its societal outcomes. The Université

The eminent 19th century physician William Osler once said that “the good physician treats the disease; the great physician treats the patient who has the disease.” But for most of the 20th century, the medical community generally treated the individual as a collection of symptoms, rather than treat

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

Since June 2019, Sorbonne University’s AI strategy is driven by SCAI (Sorbonne Center for Artificial Intelligence), a large and unified research and teaching center entirely devoted to AI. Under the umbrella of SCAI, we propose a programme that aims at fostering excellence in training, mobility and

AI has a major impact in essentially all fields in science and humanities. At Cnam, several laboratories are developing research programs in AI. This proposal gathers actors from computer science and applied mathematics, which perform fundamental research in AI, and institutions using AI technologie

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

We propose a research program of 10 PhD theses coordinated by Normandie Université (NU), which federates the most important institutions of higher education and research in Normandy. These PhD grants will be co-funded by Région Normandie, in line with its strategy for research and innovation. The

We are currently witnessing a tremendous increase in the amounts of data being produced and/or collected by several applications and scientific disciplines. This has been made possible with the recent advances in sensing instruments that allow the observation of different real world phenomena at a s

This submission outlines the Institut Mines-Télécom (IMT) ambition to realise the strategic objective of enhancing its research agenda in the priority area of Artificial Intelligence and expanding its already substantial PhD program. In line with its 2018-2022 Strategic Plan, IMT aims to expand its

AI research in Rennes builds on long-time expertise and excellence in statistical modelling and learning, including deep learning, as well as in signal and image processing, combined with a wide coverage of other AI topics such as logics and reasoning, planification, robotics, data mining, or knowle