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 ...

They all rely on matrix multiplication for accurate calculations ... “I believe that in the next few years, many new algorithms for fundamental computational tasks that we use every day will be ...

Thus, many researchers have investigated AMM algorithms, which trade off accuracy of matrix multiplication for speed. The key innovation with MADDNESS is using a pre-processing step to produce ...

finding the theoretically fastest matrix multiplication algorithm. This use of AI to design algorithms demonstrates the potential of the technology for other mathematical discoveries, as well as ...

Learn more Can artificial intelligence (AI) create its own algorithms to speed ... Today, companies use expensive GPU hardware to boost matrix multiplication efficiency, so any extra speed would ...

Except that for a Rubik’s Cube, the number of possible moves at each step is 18; for matrix ... using seven rather than eight multiplication steps, at the cost of introducing more addition steps.

This contributes to the theoretical understanding of matrix multiplication. "Using optimisations that would be difficult for humans" An improvement over Strassen's algorithm, however, is initially ...

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 ...