Thinking Machines Lab, founded by former OpenAI executive Mira Murati, wants to solve a persistent problem: the ...

Scalable Matrix Multiplication Framework with Docker and TCP Overview This project, developed as part of our Graduate Systems semester coursework, presents a scalable and modular framework for ...

Describe the issue or outstanding question. Thanks for advancing HLSL forward with matrix multiply primitives. I am looking at the proposal with an eye on how it aligns with the WebGPU spec and what I ...

The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks. DeepMind has used its board-game ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

The inspiration for this column comes not from the epic 1999 film The Matrix, as the title may suggest, but from an episode of Sean Carroll’s Mindscape podcast that I listened to over the summer. The ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.