Matrix multiplication - where two grids of numbers are multiplied together - forms the basis of many computing tasks, and an improved technique discovered by an artificial intelligence could boost ...

This paper develops an algorithm to multiply a p × 2 matrix by a 2 × n matrix in $\lceil (3pn + \max (n, p))/2\rceil$ multiplications without use of commutativity of matrix elements. The algorithm ...

"Given the importance of the precise sparsity pattern, and even the actual matrix data, which decides the effective fill-in upon multiplication, the tests are performed within the CP2K package with ...

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.” ...

In 1969, a German mathematician named Volker Strassen discovered the previous-best algorithm for multiplying 4×4 matrices, which reduces the number of steps necessary to perform a matrix calculation.

As in a modern multiplication table, the entries at the intersection of each row and column in the matrix provide the results of multiplying the corresponding numbers.