Everyone knows and loves the first three normal forms. We go through the process of normalization to remove redundancies in our data structures. But the redundancies we remove have nothing to do with ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

Normalization techniques have become integral to the training of deep neural networks, serving to stabilise learning dynamics, accelerate convergence and improve generality. At their core, these ...