Topics

Researchers develop a chiral cavity to control material properties using quantum vacuum effects, reducing the need for strong magnetic fields.

A greater than 100-fold improvement in energy efficiency by light over electrons and a 25-fold improvement in compute density (power), with "several orders of magnitude for future improvement."

How special crystals could lead to greener computing by controlling magnetism with electric fields for sustainable technology solutions.

A new optical neural engine uses light to solve partial differential equations faster, transforming scientific and engineering computations with efficiency.

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.

Engineers at the University of Utah unveil a tunable light-based chip that could reshape the future of ultra-fast optical computing.

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