DeepMind’s paper also pointed out that AlphaTensor discovers a richer space of matrix multiplication algorithms than previously thought — up to thousands for each size.

AlphaTensor has already identified a new algorithm with which matrix multiplications can be carried out faster than before, as the research team explains in a paper published in the magazine Nature.

Our algorithm ShRec3D (for 'shortest-path reconstruction in 3D') involves first the translation of a contact map into a distance matrix using a graph-theoretic method (Fig. 1a, step 6; see below ...

This paper describes an integer linear programming algorithm for vehicle routing problems involving capacity and distance constraints. The method uses constraint relaxation and a new class of subtour ...

A Hong Kong-based Matrix AI Network is developing a prototype of a new hybrid PoS/PoW consensus algorithm. This update was shared with Cointelegraph by Owen Tao, the company’s CEO. Tao described ...