As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

Complex model architectures, demanding runtime computations, and transformer-specific operations introduce unique challenges.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Spin-wave networks may unlock energy-efficient AI computing. Discover the tech reshaping hardware demands for greener AI.

As AI clusters reshape the data centre landscape, future-proofing network infrastructure is crucial to staying ahead.

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

An overview of the MRDIMM technology as a solution to memory bandwidth and capacity challenges.

Cadence Design Systems (CDNS) recently announced the tapeout of the industry’s first LPDDR6/5X memory IP system solution, capable of operating at an impressive 14.4Gbps—a 50% speed boost over previous ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...