The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

"Firstly, traditional sorting hardware involves extensive comparison and select logic, conditional branching, or swap operations, featuring irregular control flow that fundamentally differs from the ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--ANAFLASH, a Silicon Valley-based pioneer in low power edge computing, has acquired Legato Logic’s time-based compute-in-memory technologies and its industry ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

ANAFLASH has acquired Legato Logic to enhance its development of non-volatile compute-in-memory technology, focusing on battery-powered intelligent sensors. This strategic acquisition aims to ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly analyze large amounts of data. This currently entails the transfer of data ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

The compute industry is at a turning point. The skyrocketing demands of AI are pushing power grids, data centers and chipmakers to their limits—and the old ways of doing things simply can't hold up ...