Topics

New technology uses light patterns and machine learning to guide a flexible robot arm for delicate tasks in medicine and industry.

Machine learning framework simulates large-scale material responses to electric fields, advancing materials design for energy and technology applications.

A self-powered artificial synapse recognizes colors like the human eye, enabling efficient visual processing for devices like smartphones and self-driving cars.

A new chip-scale laser enables fast, precise measurements for self-driving cars and gravitational wave detection.

Weizmann Institute’s new technology images individual molecules at one nanometer, helping research in medicine and materials.

Researchers enhance simulation of electric fields in plasmas, aiding chip manufacturing and fusion research with faster, stable tools.

DELERIA software at Berkeley and Oak Ridge labs processes massive nuclear physics data in seconds, enhancing experiments.

University of Michigan's ZEUS laser hits 2 petawatts, advancing research in medicine, security, and astrophysics.

Physics-informed artificial intelligence prevents molecular breakdown and supports longer, more reliable simulations for chemistry research.

Stable optical frequency combs generated via hyperparametric solitons could improve efficiency in high-speed communications.