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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With the rise of chiplet-based computing architectures, designers must navigate the growing complexity of integrated circuit and system design. To meet demanding specifications for energy efficiency, compactness, performance and heterogeneous chiplet integration, they must also consider software workloads early in the design process. CEA proposes a set of tools to answer this challenge.
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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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