In this episode, Sally talks to Manoj Koul about how workload-first, programmable platforms are reshaping compute for Physical AI.

As AI-driven SoCs move to advanced process nodes, design complexity, development cost, and execution risk are rising sharply. In this episode, Synopsys executive director of Product Management Ravi Todi explains why competitive power, performance, and area (PPA) are no longer sufficient on their own.

In this episode, Credo’s Don Barnetson explains to Sally why the company is pursuing a “wide and slow” optical architecture. Listen Now!

AI’s HBM addiction is cracking; Majestic Labs bets 128TB LPDDR servers can make inference sane.

Ditch frame-based AI: Ryad Benosman argues event cameras compute with time, powering sharper neuromorphic vision and prosthetics.

As AI becomes an increasingly important part of the software defined vehicle, a different architecture is needed in the car. So what does the AI-powered vehicle actually look like—and why is the industry moving toward centralized computing and zonal architectures?

In this episode of EE Times Current, we look at how digital twins are becoming the shared foundation for the new HW/SW co-development model.

In this podcast, Sally discusses how AI is lowering the barriers to finding security vulnerabilities, and how hardware could be the next frontier, with Arteris’ Andreas Kuehlmann.

In this episode, Dr. Jim Shiely builds on themes from his Patterning the Singularity leadership work to explore the semiconductor industry’s “trust bottleneck” and why trustworthy engineering intelligence is becoming essential to future innovation.

Experts debate spike coding, edge hardware, and the future of neuromorphic engineering on Brains and Machines.