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Artificial intelligence, trust and frugality

The conference "Artificial intelligence for industry and society: trust and frugality", scheduled to take place online on 25 February, is one of the events co-organised by the CNRS as part of the French Presidency of the European Union.

Hand of the hydraulically controlled robot Tino, programmed to learn like a child, by combining its vision and its movement.
Hand of the hydraulically controlled robot Tino, programmed to learn like a child, by combining its vision and its movement.

© Frédérique Plas / ETIS / UCP / ENSEA / CNRS Photothèque

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This conference, co-organised by the CNRS, CEA and Inria, aims to promote French expertise in the field of artificial intelligence (AI) and to federate actions with European partners. Faced with the large-scale deployment of AI, the challenges are scientific, ethical and environmental. Society demands a responsible and trusted AI, from its conception to its multiple uses. At the same time, the awareness of the impact of digital technology in terms of energy and use of material resources requires a reflection on the development of more frugal approaches. Science is at the centre of these issues.

This conference is taking place in the context of France's presidency of the European Union, whose objective is to develop "a more united and sovereign Europe". The CNRS is involved at the European level and is mobilising during these six months by organising and taking part in a number of events that will showcase and reflect on this Europe of scientific research and innovation.

Discover in photos and videos the work in our laboratories.

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Robots are interacting with humans on a daily basis in increasing number. The LIRIS laboratory (Laboratoire d'informatique en image et systèmes d'information/laboratory of image computing and information systems) teamed up with the start-up company Hoomano to develop software integrating artificial intelligence, BEHAVIORS.AI. Funded by a French National Research Agency (ANR) grant, the project is focussed on exploring the path of machine learning, to improve human-robot interactions. Scientists…

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Behaviors.ai
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Based on research conducted at the Laboratoire d'hydrodynamique (CNRS/Ecole polytechnique), #Sensome has developed ultra-miniaturised sensors that use artificial intelligence to identify the biological nature of tissues in real time. Integrated in the intravascular Clotild™ probe, their technology can, for instance, categorise blood clots in order to help doctors during the treatment of an ischemic stroke.

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Sensome
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Portrait de Pierre Neyron, lauréat de la Médaille de Cristal 2019 du CNRS. Ingénieur de recherche au sein du Pôle d'ingénierie multidisciplinaire du Laboratoire d'informatique de Grenoble (DR11), spécialiste de l'informatique des datacentres, infrastructures logicielles et matérielles pour le BigData, le Cloud, le calcul intensif et l'intelligence artificielle.

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Médaille de Cristal 2019 : Pierre Neyron, ingénieur de recherche en informatique
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A l'occasion de la remise de la médaille de l'innovation 2018 du CNRS, retour sur le parcours de Daniel Le Berre, enseignant chercheur en informatique. Ses travaux de recherche portent sur le domaine de l'intelligence artificielle et il s'intéresse en particulier à la conception et à l'évaluation d'algorithmes pour l'inférence et la prise de décision. Il est également passionné de génie logiciel, qu'il enseigne aux étudiants de l'université d'Artois. Daniel Le Berre mobilise les deux facettes…

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Médaille de l'innovation 2018 : Daniel Le Berre
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For amputees, controlling a robotic prosthesis is far from a perfect solution. It can take months of training before they can perform basic day-to-day operations. In France, a team of researchers, engineers and medical doctors are developing a more natural method for controlling such a prosthesis using a phenomenon known as phantom limb sensation.

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From Phantom Limb to Bionic Arm

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