Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

The LPDDR6 standard for mobile memory is officially here, thanks to the JEDEC. The global standards body says LPDDR6 memory ...

A Photonic SRAM with Embedded XOR Logic for Ultra-Fast In-Memory Computing” was published by researchers at University of Wisconsin–Madison and USC. Abstract “Traditional von Neumann architectures ...

Designing Data Centers for Next-Gen Language Models” was published by Intel Corporation and Georgia Tech. An excerpt from the ...

In the decade since the discovery of Rowhammer, GPUhammer is the first variant to flip bits inside discrete GPUs and the ...

In-Memory Computing (IMC) is emerging as a new paradigm to address the von Neumann bottleneck (VNB) in data-intensive applications. This research proposes a 10T SRAM-based IMC architecture that is ...

We propose a memory-centric deep learning system that can transparently expand the memory capacity accessible to the accelerators while also providing fast inter-device communication for parallel ...