News
Except that for a Rubik’s Cube, the number of possible moves at each step is 18; for matrix multiplication, even in relatively simple cases, every step can present more than 10 12 options. Over the ...
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 ...
When multiplying a 4 × 5 matrix by a 5 × 5 matrix, for example, the previous best algorithm required 80 individual multiplications. AlphaTensor uncovered an algorithm that needed only 76. Login ...
This week, two Austrian researchers at Johannes Kepler University Linz claim they have bested that new record by one step. Matrix multiplication, which involves multiplying two rectangular arrays ...
The board represents the multiplication problem to be solved, and each move represents the next step in solving that problem. The series of moves made in a game therefore represents an algorithm.
AlphaEvolve accelerated the matrix multiplication kernel language Pallas, which is also used in the development of Geimini, by 23%, and also reduced Geimini's training time by 1%.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results