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 ...

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 ...

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 ...

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 ...

Google's next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created ...

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.

It may seem like an obscure problem, but matrix multiplication is a fundamental computational operation. It’s incorporated into a large proportion of the algorithms people use every day for a variety ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms ... a ...