The Rise Of Specialized Processors. <img decoding=async alt= border=0 width=320 data-original-height=667 data-original-width=1000 src=<imgarab-news-post.jpg?bust=1 ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

The global AI chip market has grown to $166.9 billion in 2025, and is predicted to reach $311.58 billion by 2029, ...

Getting a supercomputer like Hunter from concept to reality is a process that requires both planning and patience, in ...

Quantum computing is still years away, but Nvidia just built the bridge that will bring it closer -- a quiet integration of ...

The M5 MacBook Pro was supposed to be a modest upgrade, but the performance of the new chip makes for a surprisingly ...

There are benefits and challenges of processing AI workloads on-device to enhance performance, reduce costs, and ensure data ...

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter systems has driven researchers to an unlikely ally—light itself.

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization ...

Llama.cpp is a popular choice for running local large language models, and as it turns out, it is also one of the limited ...