Abstract: This article presents the design and analysis of memory machine with asymmetric delta-array consequent pole for energy-efficient vehicular applications. In comparison with conventional ...

Antigen-driven TCR signaling in the epidermis during CD8+ TRM differentiation results in a lower TGFβ requirement for persistence and increased proliferative capacity that together enhance epidermal ...

Pure Storage's operating and gross margins are expanding, driven by high-margin hyperscaler royalties. Read why PSTG stock is ...

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, ...

Artificial intelligence has raced ahead so quickly that the bottleneck is no longer how many operations a chip can perform, ...

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

Abstract: In-memory computing (IMC) has been identified as a promising paradigm for hardware neural network accelerators thanks to the reduced data movement and improved parallelism. A known issue of ...

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 ...