In the rapidly evolving landscape of business and technology, optimizing computational efficiency is key to breaking new ground. At the International Conference for Machine Learning held July 23–29 in Honolulu, researchers presented a paper exploring whether an algorithm called Ford-Fulkerson—which computes the maximum flow in a network—can work faster by using machine learning.
How machine learning enables computers to think faster and work smarter
