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 ...

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 ...

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 ...

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.

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 ...