CEA-List developed smart portable tools to help nuclear fuel cycle facility operators work more safely and efficiently. Learn more about the latest innovations from the Udd@Orano project.
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Understanding unknown environments in a way that allows them to operate within strict safety constraints remains a challenge for robots. And that is the challenge our teams have taken on in the Magicoders project, combining the strengths of symbolic AI and generative AI in a new approach.
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A simulation tool for Infrared (IR) imaging diagnostics, developed by CEA-IRFM to monitor the walls of WEST and soon ITER, has been integrated into CEA-LIST’s CIVA multi-physics platform, a world leader in the analysis of Non-Destructive Testing (NDT) methods.
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Interested in leading your research program? You want to develop useful technologies and provide a concrete response to the major technological challenges facing society? Secure the AI Rising Talents Fellowship and turn your ideas into action!
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Researchers at CEA-List are developing high-performance neural network compression methods for frugal AI that meets the needs of Edge applications. The Eclipse Aidge open-source Edge AI platform, developed by the DeepGreen project consortium, is the first solution to be released.
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The third release of ExpressIF® is packed with key features that push business intelligence modeling to new heights.
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CEA-List’s Abilis dexterous gripper was developed with one goal in mind: to make task completion more precise than ever by giving robots the ability to manipulate a broad array of delicate objects. And Abilis has exactly what it takes to complete high-dexterity tasks efficiently.
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Ultrasound plus algorithms developed by CEA-List will help make wearable blood pressure monitoring devices more accurate.
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