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knowledge into contemporary form, readable and intelligible in our present socio-technical system, may become
territories, based on three areas of Artificial Intelligence. An environmental trajectory will be defined
SORTEDMOBILITY proposes self-organizing management of public transport operations, focusing on railway as a mobility backbone. Intelligent trains operate in a self-organized manner to guarantee high levels of service. The rail transport system becomes more resilient, capable of self-adapting to an evolving environment with respect to the demand and in case of perturbation. A simulation assessment integrates novel advanced methods for passenger demand prediction and rail traffic modeling.
The SATURN project takes place in this context of<br />autonomous embedded systems and proposes to revise the actual fundamentals of embedded computing architectures. We propose in this project an original approach compared to the classical centralised approaches based on new computation paradigms. The SATURN project associates researchers from digital embedded systems and artificial intelligence in order to define this architecture<br />of a new type for smart embedded plateforms.
molecular levels through the development of intelligent segmentation-based image processing algorithms
See, Touch and Manipulate: Robot Learning for Dexterous Robot Bimanual Manipulation through Vision and Touch – Aistotle
“man is the most intelligent of the animals because he has hands”. Thus, intelligence has long been understood
process. SAIDA targets the AID “Fiabilité de l’intelligence artificielle, vulnérabilités et contre-mesures”
Seconds that matter: Managing First Impressions for a more Engaging Virtual Agent
learning. It will explore advanced Artificial Intelligence (AI) techniques to help learners improve their
Screening of ternary intermetallic compounds for thermoelectric applications