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.

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...

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 ...

A new transceiver invented by electrical engineers at the University of California, Irvine boosts radio frequencies into ...

Large Language Models, like ChatGPT, are learning to play Dungeons & Dragons. The reason? Simulating and playing the popular ...

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

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

Uber co-founder Garrett Camp's first donation to a European institute Veronika Oleksyn Communications, Events and S ...

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

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

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.