CPUs can't compete in those jobs. AI isn't just model training. It's not just high-speed matrix math. Today, AI includes tasks like running smaller models, interpreting data, managing logic chains ...

XeSS FG specifically requires an Arc graphics product that includes Intel's matrix math accelerators, known as "XMX cores". At CES 2025, we got the chance to check out a demo of XeSS FG in F1 24 ...

We have said it before, and we will say it again right here: If you can make a matrix math engine that runs the PyTorch framework and the Llama large language model, both of which are open source and ...

Beyond AI, matrix math is so important to modern computing (think image processing and data compression) that even slight gains in efficiency could lead to computational and power savings.

Faced with this dizzying menu of options, researchers have made progress by transforming matrix multiplication into what seems like a totally different math problem — one that is easier for computers ...

there's a brand-new AI matrix accelerator that AMD says offers a 2.7x boost in matrix math operations. Curiously, AMD says that this matrix accelerator isn't intended for use in general compute ...

ts-matrix is a collection of vector, matrix and quaternion classes written in Typescript with no dependencies. Most operation return a new Vector instance. If you use ...

They can dice a big matrix math problem into many pieces and attack parts of it simultaneously with a special algorithm. In 1969, a German mathematician named Volker Strassen discovered the ...

It's said that DeepMind's agent was challenged to complete matrix math work in as few steps as possible, and had to figure out the best way forward from potentially trillions of possible moves. We ...

To multiply two matrices together, the mathematician must multiply individual numbers and add them in specific ways to produce a new matrix. In 1969, mathematician Volker Strassen found a way to ...