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

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

Recent headlines predict a future of mind-reading machines, but the real breakthrough is about technology that understands ...

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

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

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.

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...

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 ...