I’ve always been interested in the tradeoffs that designers make when defining topologies and selecting components for a ...

Musing on what he writes about as the year draws to a close, our columnist hopes that he piques the curiosity of at least one ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.