Towards a Continuous Evaluation of Calibration

For safety-critical systems involving AI components (such as in planes, cars, or healthcare), safety and associated certification tasks are one of the main challenges, which can become costly and difficult to address.

One key aspect is to ensure that the decisions a machine-learning classifier makes are properly calibrated.

Continue reading

Reinforcement Learning Course at ENSI

Reinforcement learning is one of the most active research areas in artificial intelligence and applies to a wide range of use cases in different sectors. To provide students with the skills needed in a transforming AI landscape, the ENSI school invited us to give a course on the subject.

Continue reading