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

The shift from static inference to real-time autonomous agents is driving explosive demand for custom silicon, low-latency ...

Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

Parallel optical computing capable of 100‑wavelength multiplexing Peer-Reviewed Publication Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS ...

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.

China-India rivalry forces Foxconn to rethink manpower strategy ICT 5min ago Home Tech ICT Server, IPC, cloud computing, IoT ...

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.