> approximate any continuous function
It wouldn't surprise me if many interesting functions we'd like to approximate aren't continuous at all.
It wouldn't surprise me if many interesting functions we'd like to approximate aren't continuous at all.
Relationships in the physical world are sparse, metastable graphs with non-linear dynamics at every resolution. And then we measure these dynamics using sparse, irregular sampling with a high noise floor. It is just about the worst possible data model for conventional AI stacks at a theoretical level.