For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

A I vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons.

Gene regulatory networks articles from across Nature Portfolio A gene regulatory network is a set of genes, or parts of genes, that interact with each other to control a specific cell function ...