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

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

Inside Michigan Tech's Aging, Cognition and Action Lab, space debris rains down on a screen as players scramble to deflect it ...

Nicola Dell, a computer scientist studying the role of technology in intimate partner violence, cofounded the Center to End ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Abstract: The use of transfer learning in brain-computer interfaces (BCIs) has potential applications. As electroencephalogram (EEG) signals vary among different paradigms and subjects, existing EEG ...

Chau, Srinivas, and Yang were among the 70 invited participants in the intensive two-day workshop on navigating early careers ...

AI and computer science education should be a requirement for all K-12 students, providing them with the knowledge and agency ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

And, as we changed this means of interaction rather quickly, one way we did it has to do with games. Game engines are now AI ...