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 ...

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 ...

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

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

The importance of early architecture exploration to avoid costly design revisions and ensure optimal power-performance ...

A Case for Long-Term and Short-Term RAM” was published by researchers at Stanford University and Microsoft, and an ...