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.

The challenge of speeding up AI systems typically means adding more processing elements and pruning the algorithms, but those approaches aren’t the only path forward. Almost all commercial machine ...

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 ...

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.

We present a test for determining if a substochastic matrix is convergent. By establishing a duality between weakly chained diagonally dominant (w.c.d.d.) L-matrices and convergent substochastic ...

SIAM Journal on Applied Mathematics, Vol. 25, No. 2 (Sep., 1973), pp. 142-148 (7 pages) This paper describes five pivot selection algorithms in inversion of a large sparse matrix when using the method ...

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