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VIrtual Characters for team Training: Emotional, Adaptive, Motivated and Social – VICTEAMS
skills in experimental psychology, artificial intelligence, pedagogy and software engineering to design
Urban Worlds Intelligences
Depuis 2011, le LabEx IMU s'est attaché à développer l’exercice de la pluralité scientifique en recherche. Ainsi IMU regroupe aujourd’hui, 570 chercheurs issus de 37 laboratoires impliquant un large s
Unsupervised spiking neural networks with analog memristive devices for edge computing – UNICO
represent one of the big challenges for artificial intelligence (AI) deployment. These hardware systems present
Unlocking Frontier Technologies in Firms: Insights from the Past, Challenges for the Future – TECHNOFIRMS
engineering technologies, such as artificial intelligence and robotics, which have moved from the factory
Université Paris-Saclay Doctoral Programme in Artificial Intelligence – UDOPIA
The doctoral program in Artificial Intelligence of Université Paris-Saclay <br />The UDOPIA PhD programme builds on the extensive strengths of the University of Paris-Saclay in AI and related fields to create a unique cohort of PhD students trained at the forefront of core AI topics, specialised AI topics and AI applications. The students come from a rich ecosystem with strong links to industry, and existing instruments such as the DataIa convergence institute in AI or the SaclayIA computing platform will foster interdisciplinarity, mobility, entrepreneurship, and broad di?usion of research results to universities, industry, and the general public
Universite de Lyon Doctoral Program in AI – IADoc@UdL
of the local academic players on Artificial Intelligence and its societal outcomes. The Université de
Understanding and assessing volcanic hazards, scenarios, and risks in the Lesser Antilles – implications for decision-making, crisis management, and pragmatic development – CASAVA
management, and applied mathematics and artificial intelligence to simulate realistic eruption scenarios, impact
Uncovering and mitigating the detrimental effects of social learning on the discovery of new solutions – OPTILEARN
learning (i.e., cumulative culture and collective intelligence) without paying the costs associated to it (i
Ultra-Compact Non-linear Metamaterial Wave Processors for Analog Deep Learning – MetaLearn
low-power Internet-of-Things sensors with artificial intelligence (AI). We will introduce locally resonant me
Ultra Low Power Smart 3D Cochlea – ULP-COCHLEA
ULP COCHLEA project will permit, by mimicry, the design of smarter, smaller, cheaper and passive bioinspired acoustic sensors for long-duration in-situ monitoring and analysis of marine environment and related maritime activities especially in Mediterranean Sea. The project will enable the development of cognitive and predictive models for understanding submarine life for long spatial and temporal scales.
