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 ...

This new algorithm (IFK), when compared against well-known algorithms such as Reverse-Cuthill-McKee (RCM), Gibbs (GBS), Gibbs-Poole-Stockmeyer (GPS) and Sloan’s (SLN) over 101 test cases from the ...

This new algorithm (IFK), when compared against well-known algorithms such as Reverse-Cuthill-McKee (RCM), Gibbs (GBS), Gibbs-Poole-Stockmeyer (GPS) and Sloan’s (SLN) over 101 test cases from the ...

Matrix multiplication advancement could lead to faster, more efficient AI models At the heart of AI, matrix math has just seen its biggest boost "in more than a decade.” ...

By imitating the natural evolution, SCE-UA algorithm efficiently explores a wide range of solution space to find the optimal solution for complex problems such as parameter calibration, uncertainty ...

It takes input for a matrix, displays the original matrix, and then prints its transpose.

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First, to find the best shapelets, MAPIC exploits the Matrix Profiles extracted from the time series of the training set instead of using a brute force approach (Ye and Keogh, 2009) or an optimized ...