UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

Research teams from energy giant ExxonMobil and IBM have been working together to find quantum solutions to one of the most complex problems of our time: managing the tens of thousands of merchant ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When will we have artificial general intelligence, the kind of AI that ...

This is a preview. Log in through your library . Abstract We consider the optimal stopping problem for g(Zn), where Zn, n = 1,2,..., is a homogeneous Markov sequence. An algorithm, called forward ...

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 ...

It was previously thought that children younger than 7 couldn't find efficient solutions to complex problems, but new ...