Artificial intelligence has been built on the idea that giving machines more time, data, and computing power improves their performance. This belief has guided the direction of AI research and ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Cayley-Hamilton technique. Compared to other matrix inverse algorithms, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Kid’s deep admiration of Neo in The Matrix sequels seemingly comes out of nowhere, but The Animatrix explains it.

The inverse calculation of burden distribution matrix (BDM) is one of the most important challenges in the blast furnace operation in iron-making processes. In general, blast furnace consumes 65% of ...

In this paper, a new iterative algorithm for linear matrix-vector equation (LMVE) solving on the basis of Zhang approximation inverse (ZAI) is proposed. The optimal Zhang approximation inverse (OZAI) ...

There is increasing interest in the study of community detection for sparse networks. Here, we propose a new method for detecting communities in sparse networks that uses the symmetrized Laplacian ...

Given a sparse matrix A, we define and discuss a matrix B that approximates A–1, has exactly the same sparsity structure as A, and varies contravariantly with A. Unlike many other sparse inverse ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Shout! Studios have acquired the rights to over a dozen Monty Python movies, TV shows, and specials.