CEA-List developed the MiRAG model for visual question answering about named entities. This is the first time a retrieval augmented generation (RAG)-based approach to generative AI has been applied to this task.
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xMOD combines 2D vision (cameras) and 3D vision (LiDAR sensors) in a novel cross-distillation method. The AI learns to segment its environment from motion cues in the images, delivering beyond state-of-the-art performance.
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The DiSCO-3D semantic segmentation method is used to discover, in a 3D scene, the elements corresponding to the semantic subconcepts of a user query expressed in natural language.
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AIHerd commercializes a powerful AI-enabled herd monitoring solution for cattle farmers. The technology, developed by CEA-List, provides a precise analysis of herd health.
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With its range of Blaxtair® systems, Arcure prevents collisions between mobile machinery and pedestrians in industry and public works. Two-thirds of its sales come from exports.
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Researchers at CEA-List brought their unique expertise to a new neural-network-based image analysis solution that successfully tracked soccer players in short video clips.
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To create smart robots, development work in mechatronics, control, computer science and perirobotics must be carried out in a coordinated and unified manner.
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