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

Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform well in another.

Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...

Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...

Lee Zeldin, the E.P.A. administrator, revived a plan created during the first Trump administration to end the testing of ...

On the 15th, local time, in a lecture hall for the AI (artificial intelligence) course at Stanford University’s Computer ...

In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...

Here are what I would call the “blind spots” of the Hamilton School.

The Salt Lake Tribune reports a University of Utah associate discovered a rare 1973 UNIX V4 software tape, believed to be the ...