Nvidia’s Grace CPU, the company’s bid to challenge Apple Silicon in energy-efficient ARM-based computing, sits roughly two ...

A new Quantum Monte Carlo algorithm in Physical Review Letters marks a significant step forward in the quest to build ...

Abstract: Matrix-matrix multiplication is a key computational kernel for numerous applications in science and engineering, with ample parallelism and data locality that lends itself well to ...

However, solving LP problems on conventional digital hardware is increasingly constrained by the polynomial computational complexity of matrix operations. In this work, we present an analog matrix ...

Nvidia challenger D-Matrix is entering full production of an AI chip it says is 10 times faster than a GPU and bypasses the memory shortage.

SANTA CLARA, Calif., June 25, 2026 /PRNewswire/ -- d-Matrix, the pioneer in low-latency AI inference for data centers, today ...

A Chinese start-up that is developing an AI-powered laser mosquito zapper has raised US$2.7 million on the Indiegogo crowdfunding platform as it navigates the challenges of complex sensor calibrations ...

Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...

The hyperscalers' cloud businesses are minting cash, but neoclouds have been putting up jaw-dropping growth rates.

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 ...