IntroductionWhen you hear "linear algebra," you likely think of matrices, determinants, eigenvalues, and diagonalization.

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.

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: ...

The goal of this talk is to demonstrate methods for constructing fast matrix multiplication algorithms and their applications. Another goal is to explore how to leverage the speedup provided by fast ...

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, ...

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 ...

Google develops search, advertising, cloud, and AI technologies at global scale. Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the ...