In this video, we delve into the fascinating world of big number multiplication and explore how computers perform this task ...

In long multiplication, we have to multiply every digit of the first number by every digit of the second number. If the two numbers each have N digits, that's N2 (or N x N) multiplications altogether.

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

Even for computers, the long multiplication algorithm, defined as n to the power of, could reportedly take months if each number had a billion digits.

AI engineers develop an algorithm that will replace floating-point multiplication with integer addition to make AI processing more efficient.

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 ...

DeepMind breaks 50-year math record using AI; new record falls a week later AlphaTensor discovers better algorithms for matrix math, inspiring another improvement from afar.

A sequential algorithm for solving a system of nonlinear equations based on the number-theoretic method is proposed. In order to illustrate the effectiveness of the method, the following two problems ...

Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of machine learning’s most fundamental tasks? Today, in a paper published in Nature, DeepMind ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix multiplication algorithm that had eluded human mathematicians since Strassen ...