Abstract
Artificial intelligence neural networks are trained to estimate answers to questions by statistical calculation. The accuracy of these answers, despite the explosion of the set of possibilities, shows that they exploit the underlying structure of problems. This constitutes a form of knowledge. Spotlight will be placed on this structure, although it remains largely mysterious. The lecture will highlight the deep links with philosophical approaches to knowledge, neurophysiology and statistical physics.
