The promise, reality, and evolution of artificial intelligence in semiconductor manufacturing.

Is AI using too much power? Some people think so, and believe the easy gains in power reduction have already been made.

US stake in Intel?; 15% pay-for-play tax on chip sales; Arm's neural-accelerated GPUs; critical minerals funding; $1.8B ...

AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting the stage for fundamental shifts in where power is generated, where AI data ...

Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...

CBFC uses two cyclic counters to track the credits consumed and freed at sender and receiver, respectively.

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

Data centers continue to heat up as new processors consume more energy than ever before. Cooling is the primary weapon ...

Neural Super Sampling (NSS) directly addresses these challenges. NSS is a next-generation AI-powered upscaling solution. It ...

Practical applications, implementation strategies, and the platform technologies enabling scalable, intelligent edge AI ...

This paper demonstrates how AI and data-driven methods can help make telecom networks smarter, more efficient, and ready for ...

A single memory failure in a hyperscale AI cluster can cascade into hours of lost compute time.