An analysis of data from 200,000 students using a computer-assisted math program supports an optimistic view of skill-focused ...

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 ...

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 ...

Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...

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

A new study published in Psychiatry Research suggests that while large language models are capable of identifying psychiatric diagnoses from clinical descriptions, they are prone to significant ...