IntroductionWhen you hear "linear algebra," you likely think of matrices, determinants, eigenvalues, and diagonalization. However, the world of linear algebra extends far beyond that. In this series, ...

AI designs its own successor, one smarter than itself. When that day comes, who will be able to say which was the last AI ...

OpenAI's AI refuted the Exponential Time Hypothesis. See why P vs NP still stands and Bitcoin's cryptography stays safe.

«Wir haben die Nase voll»: Unter diesem Motto gingen am Samstag in Frankreich Zehntausende auf die Strassen. Vielerorts kam es zu Ausschreitungen, Brandstiftungen und Zusammenstössen zwischen ...

Facebook is the latest social media platform to give users greater control over the algorithm that determines what appears in their feeds. Meta announced the launch of its new AI-powered feature, ...

Elementary school students might memorize their times tables for single-digit numbers, but memorization won’t cut it when the teacher asks for three-digit multiplication. This requires an algorithm: ...

Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...

Same comparison lane: algorithms that remain valid when the quantities being multiplied need not commute (ab may differ from ba), so the recipe can be used recursively on matrix blocks. In this lane, ...

ProdNet is a lightweight neural network framework for the automatic discovery of matrix multiplication algorithms. Matrix multiplication is one of the most fundamental operations in scientific ...

Matrix multiplication is a primitive that appears in virtually every modern computation – from training deep neural networks to solving large linear systems in scientific simulations. The naïve ...