Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

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

The most efficient 4x4 complex matrix multiplication algorithm known so far was created by mathematician Volker Strassen in 1969 and has lasted for decades. However, DeepMind claims that AlphaEvolve ...

For decades, Strassen’s algorithm was the gold standard for ... This could lead to more advanced LLMs, which rely heavily on matrix multiplication to function. According to DeepMind, these ...

Google's AI shop DeepMind has unveiled AlphaEvolve, its "evolutionary coding agent" powered by large language models to discover and optimize algorithms.… Computer algorithms are sets of ...

Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, has improved on a 56-year-old algorithm for matrix multiplication. “Provided with a minimal code skeleton for a computer ...

A Google DeepMind system improves chip designs and addresses unsolved math problems but has not been rolled out to researchers outside the company ...

Abstract: Cache oblivious algorithms are designed to get the good benefit ... We present here the miss rate comparison of cache oblivious matrix multiplication using the sequential access recursive ...

Abstract: In this correspondence, a generalized output pruning algorithm for matrix-vector multiplication is proposed. It is shown that for a given decomposition of the matrix of the transform kernel ...