Marvin Minsky engineered the first known artificial neural network, in which “rats” represented as lights learned to solve a maze.

A brief history of AI, machine learning, artificial neural networks, and deep learning.

Artificially intelligent software has human-like ability to analyze host-pathogen interactions in microscopy images.

Neuromorphic technology is fueling fast, large-scale simulations, supporting researchers’ endeavors to build models of the human brain.

The drugs lead to widespread, predictable changes in brain waves that can help anesthesiologists personalize anesthesia and develop anesthetic-based treatments.

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.