AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

ACM Fellows are selected by their peers for achieving remarkable results through their technical innovations and/or service to the field.

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

If schools want to prepare young people for a future shaped by technology, they must act now to ensure that computer science is not a privilege for a few but a foundation for all. The time to begin is ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...

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

Abstract: In response to escalating market demands, we extend the distributed assembly flowshop problems (DAFSPs) by incorporating batch delivery, optimizing both total energy consumption (TEC) and ...

Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...

The original version of this story appeared in Quanta Magazine. All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in ...

Meta's Chief AI Scientist Yann LeCun is departing at year-end, urging computer science students to prioritize foundational math and modeling skills with long-term relevance. He emphasized that a ...