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

Scientists have used high-performance computing at large scales to analyze a quantum photonics experiment. In specific terms, this involved the tomographic reconstruction of experimental data from a ...

In 2025, Google capped off a year of intense innovation by highlighting several research areas that pushed technology forward ...

As computational research increasingly involves artificial intelligence and machine learning methods, ITaP Research Computing is adding GPU nodes to its community clusters to better serve researchers ...

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 ...

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 ...

Reflecting on the methodological approaches used when engaging historically marginalized groups in computing survey research.

Yale’s capacity to conduct high-performance computing and artificial intelligence-related research continues to expand, thanks to a pair of recent moves aimed at advancing the university’s computing ...