Tom's Hardware on MSN

Hobbyist builds an Intel 8086 ISA accelerator card

Era-appropriate TRW MPY12HJ 12×12 parallel multiplier chip grabs the MUL instructions from the CPU, but requires code changes ...
IEEE

VLSI Implementation of Alphaevolve Based Rank-48 Algorithm for 4×4 Real-Valued Matrix Multiplication

Abstract: Matrix multiplication circuits are widely used as accelerators in 3D graphics, communications, artificial intelligence, and other domains. Recent years have seen significant advances in ...
IEEE

A Multiplication-Free Neural Spike Detection and Sorting Algorithm using Mitchell Approximate Nonlinear Energy Operator and ShiftNet Neural Network

Abstract: In this paper a multiplication-free real-time neural spike detection and sorting algorithm is designed and implemented. In the proposed algorithm, Mitchell approximate nonlinear energy ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...