#combinatorial optimization

A novel AI framework introduces differentiable MCMC layers that enable neural networks to efficiently learn with inexact combinatorial solvers, significantly improving performance in complex optimization problems like vehicle routing.

RXTX is a novel machine learning-based algorithm that achieves faster and more efficient structured matrix multiplication, outperforming existing methods including recursive Strassen techniques.