The word “algorithm” can sometimes seem like a word designed to scare people away from math classes, much like the words “calculus”, “Fourier transform”, or “engineering exam”. But in reality it’s ...

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...

This project implements matrix multiplication optimization using Strassen's algorithm, a divide-and-conquer approach that reduces the complexity of matrix multiplication from (O(n^3)) to approximately ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

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 ...

Strassen's algorithm reduces matrix multiplication time complexity from O(n³) to O(n^2.81) Sounds small, but while dealing with a matrix of size 10,000, we just have to do 630B multiplication compared ...

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, ...

Abstract: Large-integer modular multiplication (LMM) is a core operation in public-key algorithms, which serve as critical safeguards for information security. Although much effort has been made to ...