Computational Data Science (CDS) Core Courses are classified into five areas: Data Analytics and Visualization, Data Science Applications, Intelligent Computing, Probability and Statistics, and ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to modern microservices architectures—I’ve watched the AI boom with growing concern ...

A team from the Chinese Academy of Sciences developed a parallel optical computing architecture with 100 wavelengths, pushing the boundary of computility.

Distributed systems comprise a network of independent computing nodes that collaborate to achieve shared objectives despite challenges such as network latency, asynchrony and process failures.

Distributed optimisation and algorithms form a vibrant field that addresses the challenge of coordinating multiple agents or nodes to collectively solve global optimisation problems.

With Nvidia's GB200 series products entering volume shipments starting in the second quarter of 2025, the GB300 has also begun its delivery recently, as Dell chairman and CEO Michael Dell has ...

Despite the hype, it’s been surprisingly challenging to find quantum algorithms that outperform classical ones. In this episode, Ewin Tang discusses her pioneering work in “dequantizing” quantum ...

In this paper, we propose a distributed version of the Hungarian method to solve the well-known assignment problem. In the context of multirobot applications, all robots cooperatively compute a common ...

With the development of multi-access edge computing (MEC), the cloudlet at the edge of the network can provide nearby high-performance computing services, thus reducing the computational consumption ...

Play this KS2 game to practise your English skills and revise for your SATs, using your grammar, punctuation and spelling knowledge to unlock new challenges.