Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...

The field of Architectural Computing and Visualisation Methods has evolved remarkably over recent decades, integrating computational intelligence and advanced visualisation techniques into the fabric ...

The College of Computing is pleased to present the Infinite Loop Journal for Undergraduate Research and Applied Computing. The online journal aims to serve as a premier platform for showcasing the ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Our mission is to enhance research and scholarship at Miami University by providing expertise about computational methods and resources and assisting with the use of specific software packages. We ...

[content-module:CompanyOverview|NASDAQ:MSFT] In December 2024, Alphabet (NASDAQ: GOOG), Google's parent company, announced its new quantum computing chip. This started a frenzy of trading in pure-play ...

Quantum computing for much of its history has had at least one problem that has been challenging to solve — it's simply not always accurate. In new breakthrough research published today by IBM, ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...

Timothy Duignan receives funding from Australian Research Council. The Australian government is going all in on quantum computing. After investing more than $100 million on “quantum technology” in ...

DUBLIN--(BUSINESS WIRE)--The "Next Generation Computing Market: Bio-Computing, Brain-Computer Interfaces, High Performance Computing, Nanocomputing, Neuromorphic Computing, Serverless Computing, Swarm ...