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 ...

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

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

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 ...

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

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

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 ...

Space HPC opens at ESRIN (Italy) to process large volumes of data and satellite simulations, boosting European space research ...

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 ...

Joseph Weizenbaum realized that programs like his Eliza chatbot could "induce powerful delusional thinking in quite normal ...