In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Lei Fang, assistant professor in the Department of Civil and Environmental Engineering at the University of Pittsburgh ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

AI agents capable of handling large portions of chip design and verification are less about convenience and more about ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Artificial Immune System™ (AIS) security framework BOCA RATON, FL, UNITED STATES, February 3, 2026 /EINPresswire.com/ ...