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

AlphaTensor, builds upon AlphaZero, an agent that has shown superhuman performance on board games, like chess, Go and shogi, and this work shows the journey of AlphaZero from playing games to tackling ...

Google DeepMind, Google's AI research team, announced the coding agent ' AlphaEvolve ' on Wednesday, May 14, 2025. AlphaEvolve is an AI agent that combines Gemini and evolutionary algorithms, and is ...

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 ...

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 ...

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

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 ...

1. Strassen's method is an important milestone in Computer Science history, largely launching the study of time complexity of algorithms. As the poster child example of a "divide and conquer" ...

Data structures and algorithms in Java, Part 2 introduced a variety of techniques for searching and sorting one-dimensional arrays, which are the simplest arrays. In this tutorial you’ll explore ...