What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...

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

The 'algorithm for calculating the matrix product' that AlphaTensor worked on this time is used in various fields related to daily life, such as image processing, game graphics processing, weather ...

Google's AI, AlphaEvolve, has achieved groundbreaking mathematical discoveries, previously unattainable by humans. It solved complex hexagon packing problems and improved matrix multiplication for the ...

AI training time is at a point in an exponential where more throughput isn't going to advance functionality much at all. The underlying problem, problem solving by training, is computationally ...

Google's AI shop DeepMind has unveiled AlphaEvolve, its "evolutionary coding agent" powered by large language models to discover and optimize algorithms.… Computer algorithms are sets of instructions ...

Former Google employee Deedy Das recently shared an online post, highlighting the company’s artificial intelligence has made math discoveries never achieved by humans. In the post, Das said Google’s ...

We have repurposed Google tensor processing units (TPUs), application-specific chips developed for machine learning, into large-scale dense linear algebra supercomputers. The TPUs’ fast intercore ...