The algorithm is able to re-discover older matrix multiplication algorithms and improve upon its own to discover newer and faster algorithms. “AlphaTensor is the first AI system for discovering novel, ...

For instance, one study presented a blocked matrix multiplication implementation that leverages the Intel AVX-512 extensions, achieving remarkable performance on the Intel Knights Landing (KNL ...

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 ...

Matrix multiplication requires that the number of columns (p) in the left matrix (A) equal the number of rows (p) in the right matrix (B). Otherwise, this algorithm won’t work.

PART 3: Multidimensional arrays and the Matrix Multiplication algorithm Learn three techniques for creating multidimensional arrays in Java, then use the Matrix Multiplication algorithm to ...

The researchers turned the task of discovering new matrix multiplication algorithms into a game dubbed TensorGame. To win the game, an AI system must complete a complex mathematical operation as a ...

Trained from scratch, AlphaTensor discovers matrix multiplication algorithms that are more efficient than existing human and computer-designed algorithms. Despite improving over known algorithms, they ...