A new paper claims the theoretical speed limit for matrix multiplication is much lower than anyone had proven. It hasn’t been ...

A new quantum algorithm, mirror subspace diagonalization (MSD), achieves near-optimal sampling cost for real-time evolution, ...

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

Researchers have replaced trial-and-error tuning of a recursive least squares identifier with a hill-climbing algorithm and a ...

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix ...