In 2025, Google DeepMind announced that it had used AI to make AI training more efficient.A system called "AlphaEvolve" ...
Scientists have called out several math and computer science results as the most significant in the company’s overwhelming ...
Researchers have unveiled a matrix-blinding framework that lets resource-constrained clients outsource heavy hyper-spectral ...
On October 6, 2026, OpenAI released mathematical research manuscripts on GitHub. The collection contains 722 manuscripts, ...
A new paper claims the theoretical speed limit for matrix multiplication is much lower than anyone had proven. It hasn’t been ...
Huawei claims Ascend has overtaken NVIDIA's share in China. We check its reasons for adopting NPO, on cost and repairability, ...
Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for ...
OpenDLSS-NR reimplements DLSS 5's inference network in Vulkan and WebGPU. Drawing on primary sources, this article examines ...
Matrix multiplication is one of those foundational operations that silently runs the modern world. Every time a neural network trains, a physics simulation renders, or a search engine ranks pages, ...
Elementary school students might memorize their times tables for single-digit numbers, but memorization won’t cut it when the teacher asks for three-digit multiplication. This requires an algorithm: ...
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