Arm’s Mohamed Awad, senior vice president and general manager for data center infrastructure, said in March that at the end ...

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

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.

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 ...

In the booming era of AI and blockchain, the question is no longer “What result does AI produce?” but rather “How can we ...

At Flash Memory World 2025, held in Nanjing, Graid Technology Inc. was honored with the "2025 Flash Memory GPU Acceleration ...

In parallel distributed data processing frameworks like Spark and Flink, task scheduling has a great impact on cluster performance. Though task Scheduling has proven to be an NP-complete problem, a ...

The quantum Internet can be a mind-bending, sci-fi sounding concept, but it’s also one that is getting closer, albeit slowly, ...

In the fast-paced field of High Performance Computing (HPC), the convergence of Artificial Intelligence (AI) and Big Data Analysis signals a groundbreaking ...

For future networks, it is highly demanding to satisfy a wide range of time-sensitive and computation-intensive services. This is a very challenging task, since it requires a combination of aspects ...