Understanding unknown environments in a way that allows them to operate within strict safety constraints remains a challenge for robots. And that is the challenge our teams have taken on in the Magicoders project, combining the strengths of symbolic AI and generative AI in a new approach.
Read more
CEA-List has developed a runtime safety supervision environment for autonomous systems built using AI.
Read more
One of the main obstacles to the massive end-to-end digitalization of business processes is the continuity of data from the field to the cloud.
Read more
CAISAR (Characterizing Artificial Intelligence Safety and Robustness) is an end-to-end open source software environment for AI system specification and verification.
Read more