Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

There is a more direct approach to converging HPC and AI, and that is to retrofit some of the matrix math libraries that are commonly used in HPC simulations so they can take advantage of dot product ...

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.

Using NumPy for array and matrix math in Python. Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

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 ...