New View on AI: Monad Algebra in Category Theory

New mathematics for AI optimization: Geometric deep learning (GDL) evolves to incorporate category theory, monad algebras, endofunctors and (co)algebras, 2-categories and parametric morphisms. Hint: A monad is a monoid in the category of endofunctors.

This video explains in my simplest terms the mathematical framework of category theory for the latest insights in geometric deep learning GDL.

For my green grasshoppers: here is the real science:
Monads in Haskell and Category Theory
https://uu.diva-portal.org/smash/get/diva2:1369286/FULLTEXT01.pdf
from Uppsala Univ by Samuel Grahn

Haskell = …

ai optimization algebra deep learning framework insights mathematics optimization parametric terms theory video view