AMD and Intel have teamed up to create a shared AI computing standard that could make future PCs and laptops faster at ...

A supercomputer in Shenzhen was declared the world’s fastest. It uses only standard microprocessors and not the ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

For years, DIY enthusiasts viewed the sub-seven-hundred-dollar desktop as the ultimate gateway into PC gaming. You could carefully select an entry-level processor, pair it with an affordable graphics ...

British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

Forgive me for starting with a cliché, a piece of finance jargon that has recently slipped into the tech lexicon, but I’m afraid I must talk about “moats.” Popularized decades ago by Warren Buffett to ...

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Abstract: Sparse matrix-vector multiplication (SpMV) is one of the most important kernels for many applications. In this paper, we study the implementation of SpMV for scale-free matrices on many-core ...

Nvidia’s position as the dominant supplier of AI chips may be under threat from a specialised chip pioneered by Google, with reports suggesting companies like Meta and Anthropic are looking to spend ...

In an attempt to keep pace with Nvidia's DGX AI workstation desktops that can connect to take on processing bigger AI models, Apple has unleashed Thunderbolt 5 Macs' capacity to operate as 'AI ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Matrix multiplication stands as one of the most computationally intensive operations in modern computing, forming the backbone of everything from 3D graphics to neural networks and scientific ...