Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

The relentless shrinking of silicon components has led to exponential improvements in chip performance, but we’re starting to hit physical limits. Now researchers have developed a way to integrate ...

Bring me the horizon. Or faster and more power-efficient chips, one of the two. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

The internet, social media, and digital technologies have completely transformed the way we establish commercial, personal and professional relationships. At its core, this society relies on the ...

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 ...

In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...