These algorithms for multiplying small matrices can be used as primitives to multiply much larger matrices of arbitrary size. AlphaTensor has led to the discovery of a diverse set of algorithms with ...

The project presents the development and implementation of parallel algorithms for matrix-matrix multiplication aimed at effectively large scale computational tasks.Leveraging modern parallel ...

Since Volker Strassen proposed a recursive matrix multiplication algorithm reducing the time complexity to n2.81 in 1968, many scholars have done a lot of research on this basis. In recent years, ...

We’re just a few years into the AI revolution, but AI systems are already improving decades-old computer science algorithms. Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, ...

To train AlphaTensor, the Deepmind research team turned the matrix multiplication problem into a kind of 3D board game, where each move results in a building block of a new algorithm. AlphaTensor was ...

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 ...

The algorithm has interesting real-world applications. Example: 1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can ...