I am glad to share the slides of my recent talk on Relative toposes and meta-learning at the Computing and AI Summit in London.

In this presentation I give a conceptual introduction to the theory of relative toposes and discuss its relevance for modelling learning processes which build on top of existing knowledge through a sequence of steps lying at increasing levels of abstraction.

The ultimate aim of artificial meta-learning should be to mimic the distinctive, multi-layered way in which human learning unfolds, whilst leveraging the superior processing capabilities of machines.