Some people find it useful to talk through their problems—but language isn't necessary for logical reasoning, cognitive ...

Abstract: Solving large number of small linear systems is increasingly becoming a bottleneck in computational science applications. While dense linear solvers for such systems have been studied before ...

This collection of Julia functions is an attemp to implement high performance numerical software to solve several classes of Lyapunov, Sylvester and Riccati matrix equations at a performance level ...

Nvidia’s Grace CPU, the company’s bid to challenge Apple Silicon in energy-efficient ARM-based computing, sits roughly two ...

During Fully Fit 2026, Johnny Wunder has found multiple iron sets that could work with him and he's learning about his game from it. The post My iron journey has been an experiment on my game | Fully ...

Abstract: In the process of multiphysics coupling computations under frequency-domain electromagnetic (EM) field excitation, it is very challenging to solve a sequence of slowly varying EM linear ...

LongCat 2.0 is Meituan's 1.6T-parameter MoE model with a native 1M-token context, trained entirely on domestic AI ASIC ...

These are my go-to libraries for Python data crunching.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Phenomenon Studio guide for choosing product, dashboard, MVP, UX/UI, web, mobile, and AI delivery partners without weak ...

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...