Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < ...

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

Kristen Grauman, Ph.D., a professor in the Department of Computer Science, was awarded the prestigious 2026 Hill Prize in ...

Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...

Signal Enhancement: An acoustic-driven signal enhancement approach based on NeRF acoustic field modeling and nested generative networks supplements missing or incomplete EEG data through acoustic ...

In A Nutshell Personalized AI “health agents,” virtual drug trials, and automated compliance tools could quietly speed up ...

Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Cognitive impairments are highly prevalent and functionally significant consequences of acquired brain injuries, including ...

Wharton and Accenture partnered on a huge “skills index” that crunched data on 100 million job postings. They found a ...

To this day, animal testing remains one of the most controversial issues in animal rights. Activists have been fighting ...