Learn More Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of machine learning’s most fundamental tasks? Today, in a paper published in Nature ...

They all rely on matrix multiplication for accurate calculations. DeepMind, an artificial intelligence company, recently developed a faster algorithm to conduct matrix multiplications based on deep ...

“It’s just a recipe to build up C from A and B.” There is a catch ... “Being able to keep more blocks without overlap thus leads to … a faster matrix multiplication algorithm,” Le Gall said. After ...

When the player manages to do so, this results in a provably correct matrix multiplication algorithm for any pair of matrices, and its efficiency is captured by the number of steps taken to zero ...

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 ...

According to DeepMind, its AlphaTensor system has discovered an improved version of the faster matrix multiplication method. Moreover, the AI generated thousands of entirely new algorithms for ...

The system designed a novel gradient-based optimization procedure that discovered multiple new matrix multiplication algorithms. One discovery toppled a mathematical record that had stood for 56 ...

The algorithm keeps track of its random guesses as entries in a matrix. Finding the solution among the entries in the matrix becomes a question of matrix multiplication, which of course is the ...

The O(parameter count) complexity in the algorithms mean that you have to make the matrices exponentially bigger to get incremental improvement.