Transformer on MSN

Teaching AI to learn

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: The win-win relationship between artificial intelligence and the cutting-edge field of targeted advertising. Companies nowadays are employing machine learning algorithms to develop targeted ...
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 ...
Abstract: This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously ...