Artificial intelligence: two new prestigious research consortia in ocean monitoring and health

The "OceaniX Physics-Informed AI for Observation-driven Ocean AnalytiX" and "AI-4-CHILD AI for paedriatric neurorehabilitation" programs supported by IMT Atlantique are among the 40 programs selected recently by the French National Research Agency (CNRS) to be "Research and teaching chaires (French research consortia) in artificial intelligence."

Intelligence artificielle: deux nouvelles chaires dans les domaines de la surveillance des océans et de la santé

Artificial intelligence (AI) is on the verge of profoundly transforming many fields, including health and earth sciences, at the heart of these two new Chaires (French research consortia).

AI OceaniX: AI for Ocean Analysis

The oceans play an essential role in climate regulation and condition many human activities, from trade, through maritime transport, to fisheries resources. Our ability to understand, monitor and predict ocean dynamics remains limited. The AI OceaniX project led by Ronan Fablet, professor in the Signal and Communications Department at IMT Atlantique and Lab-STICC researcher (CNRS UMR 6285), aims to develop dual expertise in AI and ocean sciences. The Chaire focuses on interdisciplinarity and combines data science and ocean sciences, particularly space oceanography. AI OceaniX research aims to gain a better understanding of ocean dynamics and to acquire high-performance monitoring and surveillance tools to meet challenges such as the impact of extreme climate events, fishing activities monitoring, the surveillance of maritime spaces, and renewable marine energies.


AI-4-CHILD: diagnostic assistance and follow-up of patients with cerebral palsy

The development of health-focused AI opens up promising prospects for improving quality of care and personalised care, but also improved medical decision support. The use of statistical learning algorithms could thus revolutionize the field of medical imaging. The AI4Child project focuses on the development of new methods for the analysis of medical images to assist in the diagnosis and monitoring of patients with cerebral palsy. AI4Child aims to develop new AI-based tools to improve the early diagnosis phase from brain MRI data of premature infants and to ensure better management of affected children. The research will be carried out at IMT Atlantique and Brest University Hospital, in partnership with Philips and the Ildys Foundation. The work will be supervised by François Rousseau (ERC Starting Grant 2008), professor in the Image and Information Processing Department of IMT Atlantique and researcher in the Medical Information Processing Laboratory (LaTIM Inserm U1101).


Published on 12.02.2020

by Pierre-Hervé VAILLANT