Matrix multiplication is a common operation in many algorithms, but it can be costly in terms of time and space complexity. How can you use the master theorem to simplify the analysis of ...

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 ...

In fact, fast matrix multiplication algorithms with smaller exponent than Strassen’s in their computational complexity require even less communication. I’ll talk about recent development in ...

The algorithm is able to re-discover older matrix multiplication algorithms and improve upon its own to discover newer and faster algorithms. “AlphaTensor is the first AI system for discovering novel, ...

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

Tensor for matrix multiplication and algorithms: here multiplication of 2 x 2 matrices. Entries equal to 1 are purple, 0 entries are semi-transparent.

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix m ...

PART 3: Multidimensional arrays and the Matrix Multiplication algorithm Learn three techniques for creating multidimensional arrays in Java, then use the Matrix Multiplication algorithm to ...