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, ...

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 ...

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, ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning.

We present here a polyalgorithmic approach for selecting the most suitable algorithm among various ones for given problem size and available resources. Our principal objective here is to illustrate ...

Matrix multiplication is an important topic of linear algebra and is something that is not intuitive as you might think. When you think about multiplication and matrix, the thing that comes to your ...

One week after DeepMind revealed an algorithm for multiplying numbers more efficiently, researchers have an even better way to carry out the task ...

1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can be made more accurate as matrix multiplication can accurately ...