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Investigating the canonical organization of neocortical circuits for sensory integration – CANON
of the neocortex ? and ultimately of human intelligence.
Introduce Standards and Methods for Replication of Social Interaction Quality Research in Affective Computing – INSPIRE-bis
evaluating a machine with social-communicative intelligence is one of the most significant challenges nowadays
Interpretable-by-design Fuzzy Policy in Reinforcement Learning – IFP-in-RL
context of the field of eXplainable Artificial Intelligence (XAI), the IFP-in-RL project aims to propose
Interpretability of Deep Neural Networks for Radiomics – INFORM
proposes to investigate explainable artificial intelligence (XAI) with a dual aim of i) building high p [...] Medical/Oncology and the Computing/Artificial Intelligence field of predictive radiomics, as well as the
International Document Engineering, Analysis and Security lab – IDEAS
International Document Engineering, Analysis and Security Lab
International - Rapid rEcognition of CORticosteroiDs sensitivity or resistance in Sepsis – i-RECORDS
patient’s CS responsiveness. Methods of artificial intelligence will integrate the high dimensional multi-level
Interdisciplinary Graduate School for the Blue planet
à la mer. ISblue renforce l'utilisation de l'intelligence artificielle dans les thèmes de recherche (12
Interactive and Intelligent physical assets control system for the Risks Management of hazardous industrial facilities – I2RM
The objective of the I2RM project is to guarantee a high level of risks management in the operating conditions of an industrial facility by means of anticipation, prevention, avoidance and warning of
Interactive Grounded Language Understanding – IGLU
Through a developmental approach where knowledge grows in complexity while driven by multimodal experience and language interaction with a human, we propose a robotic agent that will incorporate models of dialogues, human emotions and intentions as part of its decision-making process. This will be possible through combining developmental, deep and reinforcement learning to handle large-scale multimodal inputs, and state-of-the-art dialogue systems.
