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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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, geography, spatial remote sensing, and artificial intelligence. In this project, urban space is considered as an interconnected system with multi-scalar spatial and temporal dimensions that should be studied
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authority of the MESR. We are interested here in two types of artificial neurons based on two distinct concepts: an optomechanical neuron as a photonic interface for on-demand generation of 800 nm optical
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matter and information for life. Artificial vascular networks have mimicked this strategy, without reproducing the same level of autonomy and adaptability. In the most adaptable organisms, the vascular
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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years, artificial intelligence (AI) has become increasingly intertwined with our daily lives. However, AI such as that currently supported by most major players in the industry like GAFAM is decentralized
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active in the fields of robotics, mechatronics, automatic control and artificial intelligence. Both departments are located in the same building, and have a long history of working together. A world
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be to dissect the mechanisms underlying the compartment-specific recruitment of mRNAs along axons. First, the student will dissect the contribution of activity cues. Through artificial inactivation
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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leveraged to develop functional demonstrators for diverse application sectors, such biomedical, space, and beyond. To achieve this, a neuro-symbolic artificial intelligence (AI) architecture that combines