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

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

The ferroelectric memory array performs both probabilistic latent variable sampling using RTN and deterministic decoding based on VMM. Seoul National University College of Engineering announced that a ...

Right off the bat, let’s give a shout out to the mathematician propeller-heads who create the transformations that make it possible to do all kinds of high performance computing to simulate, model, ...

Researchers have demonstrated a ferroelectric memory chip that performs both random sampling and AI computation, paving the ...

The AI boom doesn't run on GPUs. It runs on a 12-layer tower of memory, and here's why that monopoly is now setting the price ...

Abstract: Transformers are at the core of modern AI nowadays. They rely heavily on matrix multiplication and require efficient acceleration due to their substantial memory and computational ...

When it comes to designing wearable devices for women there are a various factors that need to be taken into account.

Abstract: Exploiting spatial and temporal localities is investigated for efficient row-by-row parallelization of general sparse matrix-matrix multiplication (SpGEMM) operation of the form C=AB on many ...