DeepMind breaks 50-year math record using AI; new record falls a week later AlphaTensor discovers better algorithms for matrix math, inspiring another improvement from afar.

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.

When you have two matrices of compatible sizes, it’s possible to multiply them to produce a third matrix. For example, if you start with a pair of two-by-two matrices, their product will also be a two ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Performing math on multidimensional arrays very efficiently. For example, the Strassen algorithm uses fast matrix math on large matrices. See multidimensional array. THIS DEFINITION IS FOR ...

While matrix multiplication is one of algebra’s simplest operations, taught in high school math, it is also one of the most fundamental computational tasks and, as it turns out, ...

Linear algebra specifies the arithmetic behind those transformations. Matrices can be multiplied, added and subtracted as easily as we perform those operations on regular numbers. Representation ...

A 50-page proof shows the new estimated answer to the n queens problem.; A chess board is a matrix, so it involves an entire field of math called linear algebra.; The n queens puzzle dates back ...