The central processing unit has long stood as the cornerstone of computing, from powering individual computers to driving large-scale data centres that underpin the digital world. However, as ...

AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

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

A new book by one of the founders of research on neural networks covers more than 40 years of scientific work that led to the ...

The chips that datacenters use to run the latest AI breakthroughs generate much more heat than previous generations of silicon. Anybody whose phone or laptop has overheated knows that electronics ...

The parallel computing market was valued at USD 22.4 billion in 2024 and is projected to reach approximately USD 54.0 billion ...

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

This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...

Here you find a collection of CUDA related material (books, papers, blog-post, youtube videos, tweets, implementations etc.). We also collect information to higher level tools for performance ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

Kirk was speaking on his show, "The Charlie Kirk Show," on July 13, 2023. He was talking specifically about television presenter Joy Reid; former first lady Michelle Obama; then-U.S. Rep. Sheila ...

This small-but-mighty mini chopper’s magic is in its blades: Two sharp stainless steel blades spin in each direction for efficient processing and lock into place so you can seamlessly pour out ...