A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

The main market opportunities include training on modern technologies for computer system validation, compliance with evolving FDA regulations, and risk-based approaches to validation using CSA and ...

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

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

The Ph.D. in educational statistics and research methods (ESRM) prepares students interested in statistics, psychometrics, education measurement, assessment and evaluation to develop, critically ...

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

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

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 ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

The January 30 registration deadline for fourth-year medical students to complete paperwork and begin ranking their residency preferences is nearing.

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

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