AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting ...

How, why, and where LLMs can make a difference in chip manufacturing equipment.

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make ...

The resulting benefit can vary accordingly. “A small simple branch predictor might speed up a processor by 15%, whereas a ...

Complex model architectures, demanding runtime computations, and transformer-specific operations introduce unique challenges.

However, the issue of standards is essential for a functioning chiplet ecosystem.

Designing Data Centers for Next-Gen Language Models” was published by Intel Corporation and Georgia Tech. An excerpt from the ...

Ferguson: This is a big part of what’s driving consolidation within the EDA industry. You see Siemens and Mentor and Altair ...

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

Building dedicated computing infrastructure to oversee the complete AI life cycle. The rapid evolution of artificial ...

EDA and silicon IP revenue grew 12.8% in Q1 2025, totaling $5.098 billion compared to $4.522 billion in the same period last year, but the real story was on the IP side, surging 29.6% year-over-year ...

Cognichip’s approach is to develop a physics-informed foundation model that achieves more parallelism than is available in ...