As a self-driving car cruises down a street, it uses cameras and sensors to perceive its environment, taking in information ...

Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A Comparative Study of Community Service Work between China and the United ...

Lloyd’s Register (LR) and Latsco have successfully completed a proof-of-concept for a new standard in digital class assurance with data-driven surveys. This collaboration aims to demonstrate how ...

Abstract: Hierarchical text classification (HTC) is an important yet challenging task in natural language processing (NLP), primarily due to the complexity of its taxonomic label hierarchy. Existing ...

Google is filing a federal lawsuit against a network of foreign cybercriminals based in China that is accused of launching massive text-message phishing attacks, the tech giant told CBS News in an ...

The song has been streamed over 3 million times in under a month. A song created through artificial intelligence has made history topping a Billboard country music chart, but it has also sent ...

The Illinois Coalition for Immigrant and Refugee Rights has a rapid response network for alerting community members about federal immigration enforcement activity around the state. ICIRR was created ...

Baron Martin was charged as an alleged member of the online exploitation group. The Justice Department has filed terrorism charges against an Arizona man for his alleged role in the growing network of ...

Oct 17 (Reuters) - U.S. radio network Cumulus Media has sued ratings giant Nielsen in federal court, accusing it of illegally leveraging its dominance over national and local radio audience data to ...

As colder temperatures creep across Indiana and snow and ice become more likely, Hoosiers want to stay up to date on weather conditions, especially during severe storms. School closings, road closures ...

Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...