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 ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. Inspired by the results of a game-playing neural network ...

Bryan Shader joined the University of Wyoming faculty in 1990. He came to the University of Wyoming from the University of Wisconsin-Madison. His research interests include Linear Algebra, Matrix ...

for some invertible matrix P and some diagonal matrix D. A beautiful result in linear algebra is that such a decomposition is possible if A has n linearly independent eigenvectors. Moreover, the ...

for some invertible matrix P and some diagonal matrix D. A beautiful result in linear algebra is that such a decomposition is possible if A has n linearly independent eigenvectors. Moreover, the ...