Growing demand for blazing fast and extremely dense multi-chiplet systems are pushing chip design deeper into AI, which ...

Modern designs often use multiple voltage supplies. This adds complexity that makes checking the well connectivity a larger consideration. In analog designs, there is often more focus on the details ...

Microcontrollers are becoming a key platform for processing machine learning at the edge due to two significant changes. First, they now can include multiple cores, including some for high performance ...

Chip design projects are notorious for generating huge amounts of design data. The design process calls for a dozen or more electronic design automation (EDA) software tools to be run in sequence.

Still, those all-encompassing AI tools, capable of complex analysis, are still years away. Cadence’s Knoth said he’s already ...

Replacing silicon and organic substrates requires huge shifts in manufacturing, creating challenges that will take years to ...

But because analog/RF did not benefit from scaling, analog/RF IP typically was re-engineered to be mostly digital with some ...

There are few panels that are confrontational right from the title, but I have the pleasure to be moderating one such panel ...

Squeeze the most performance out of lower-cost, earlier generation, mid-range processor and accelerator cores.

CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors” was published by researchers at Carnegie ...

First-time silicon success rates are falling, and while survey numbers point to problem areas, they may be missing the ...

The important models to bring on device are those whose purpose is most undermined by the reliance on remote resources.