A new study uses deep learning to improve the resolution of biological images, but elicits skepticism about its ability to enhance snapshots of sample types that it has never seen before.

A deep learning program can identify cells with higher metastatic potential based on the way they look and move.

Researchers have created a 3D-printed artificial neural network that uses light photons to rapidly process information.

Machine-learning algorithms tuned to detecting cancer DNA in the blood could pave the way for personalized cancer care.

An algorithm trained to move through a virtual environment spontaneously generated patterns of activity found in so-called grid neurons.

A map of neural networks in the striatum of the mouse brain reveals clues about psychiatric and movement disorders.

Software that can separate signals from noise brings neuroscientists a step closer to understanding neurons’ patterns of communication.

A new microscopy program requires no fluorescent markers to identify cell type, nuclei, and other characteristics.

Scientists are beginning to unravel the mechanisms behind the therapeutic effects of psychedelic drugs.