Matrix multiplication advancement could lead to faster, more efficient AI models At the heart of AI, matrix math has just seen its biggest boost "in more than a decade.” ...

What does fast matrix math actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

D-Matrix, a company focused on building accelerators for complex matrix math supporting machine learning, announced a $44 million series A round.

APPM 3310 - Matrix Methods and Applications APPM 3310 - Matrix Methods and Applications Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of ...

M.Sc. in Applied Mathematics, Technion (Israel Institute of Technology) Ph.D. in Applied Mathematics, Caltech (California Institute of Technology) [1] A. Melman (2023): “Matrices whose eigenvalues are ...

Today, DeepMind unveiled AlphaTensor, the “first artificial intelligence system" to shed light on a 50-year-old open question in mathematics.

All complex correlated systems, from Arctic melt ponds to the Internet, appear to be governed by the same math as a random matrix.

In short, relying on matrix operations is so 2019. The ability to do fine-grained conditional computation instead of taking big matrices and running math does run into some walls.

Doubly periodic weaves—entangled structures with repeating patterns in two independent directions—pose a mathematical challenge. Originally conceived to model real-world structures, such as ...