Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

Computer scientists are abuzz over a fast new algorithm for solving one of the central problems in the field. (January 15, 2017, update: On January 4, Babai retracted his claim that the new algorithm ...

In 1994, a mathematician figured out how to make a quantum computer do something that no ordinary classical computer could. The work revealed that, in principle, a machine based on the rules of ...

Machine learning is not new. We have witnessed it since the 1990s, when Amazon introduced a new “recommended for you” section for its users to display more personalized results. When we search for ...

Using machines to augment human activity is nothing new. Egyptian hieroglyphs show the use of horse-drawn carriages even before 300 B.C. Ancient Indian literature such as “Silapadikaram” has described ...