Cadence has now launched the ChipStack AI Super Agent, the world’s first agentic workflow for automating chip design and ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

Roles that require using judgment, taking risk ownership, and architectural thinking yield the highest bonuses, according to data from Foote Partners.

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

How Computers Powered by Light Could Help With AI's Energy Problem ...

TBC, as the startup likes to refer to itself, said today it has raised $25 million in seed funding from Primary Ventures to ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

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