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 number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...

In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better ...

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 ...

Vertical scaling is vital to increasing the storage density of 3D NAND. According to imec, airgap integration and charge trap layer separation are the keys to unlocking it. Inside the charge trap cell ...