For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

The first major fruits of the x86 Ecosystem Advisory Group (EAG) have come in the form of ACE, a new set of matrix instructions from Intel and AMD that the two claim deliver a massive AI performance ...

Use left and right arrow keys to seek audio. Intel and AMD have partnered to standardize a new x86 ISA extension to supercharge AI performance. Under the x86 Ecosystem Advisory Group (EAG), AI Compute ...

The LEEMONS project is researching nanostructured silicon that uses low-energy electron multiplication (LEEM) to allow one high-energy photon to generate multiple electrons, reducing energy losses in ...

In this paper, we propose a complete formulation of the Lattice Boltzmann Method adapted for quantum computing. The classical collision, based on linear equilibrium distribution functions and ...

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 ...

Researchers have built a computer that performs complex AI calculations in a single pass of light, completing what today’s fastest AI chips need multiple steps to accomplish. The breakthrough promises ...

Forward-looking: Intel and AMD have been rivals since the dawn of personal computing, pushing each other – and the x86 platform – to its limits. Now, the longtime competitors are collaborating on the ...

Abstract: Sparse matrix-matrix multiplication (SpGEMM) is a critical operation in numerous fields, including scientific computing, graph analytics, and deep learning, leveraging matrix sparsity to ...

Large language models (LLMs) are increasingly being deployed on edge devices—hardware that processes data locally near the data source, such as smartphones, laptops, and robots. Running LLMs on these ...