With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and ...
Researchers Manuel Kauers and Jakob Moosbauer of Johannes Kepler University Linz have already broken Deepmind's record for matrix ...
Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall ...
Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra.
AlphaTensor, builds upon AlphaZero, an agent that has shown superhuman performance on board games, like chess, Go and shogi, and ...
Primary Algorithm : Algorithmically, Sparse-Sparse multiplication problems manifests itself in three possible forms:(a ...
A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published ...
Matrix multiplication is an important topic of linear algebra and is something that is not intuitive as you might think.
What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all ...
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