Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

If you've ever wondered what a Tensor Core is then you're not alone. Whether you're in the market for a new graphics card or ...

Multiplying two matrices together is fundamental and almost elementary. How fast you can do the job is both practically and theoretically important. The fastest known algorithm has just been beaten - ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

A new RISC-V Tensor Unit, based on fully customizable 64-bit cores, claims to provide a huge performance boost for artificial intelligence (AI) applications compared to just running software on scalar ...

An artificial-intelligence approach known as AlphaTensor found exact matrix-multiplication algorithms that are more efficient than those previously known for many matrix sizes. The technique advances ...

Familiarity with linear algebra is expected. In addition, students should have taken a proof-based course such as CS 212 or Math 300. Tensors, or multiindexed arrays, generalize matrices (two ...