Max out your GPU's matrix hardware without paying fealty to Nvidia.

Shader Model 6.10 wants to make neural rendering a core DirectX feature, not just an NVIDIA trick, with a new unified matrix ...

Computer scientists have discovered a new way to multiply large matrices faster by eliminating a previously unknown inefficiency, leading to the largest improvement in matrix multiplication efficiency ...

It may be hard to believe, but this August will be eight years since the release of the original GeForce RTX GPUs. Over time, matrix math accelerators have come to consume more and more of our GPU ...

Computer scientists are a demanding bunch. For them, it’s not enough to get the right answer to a problem — the goal, almost always, is to get the answer as efficiently as possible. Take the act of ...

Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

1. Strassen's method is an important milestone in Computer Science history, largely launching the study of time complexity of algorithms. As the poster child example of a "divide and conquer" ...