Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in ...

Simplify your coding workflow with these Claude Code tips. Discover advanced features, automation tools, and tips to boost ...

The XenboX concept began taking shape in the early aughts when Gordon walked into a Boulder, Colorado, new-age shop and discovered a biofeedback device that clocked his brain’s electrical activity and ...

Circuit Retrieval and Optimization with Parameter Guidance using LLMs” was published by researchers at Duke University and ...

In head-to-head tests, Microsoft’s virtual medical council diagnosed correctly four times more often than human doctors, and at a lower cost.

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make decisions across the product life cycle, from initial concept to end of life and ...

A promising area of applications for quantum computing is in linear algebra problems. In this work, we introduce two new quantum t-SVD (tensor-SVD) algorithms. The first algorithm is largely based on ...

We propose an image-coding algorithm which combines the discrete cosine transform (DCT) and the singular value decomposition (SVD). The DCT is used to transform those blocks in the source image that ...