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 ...

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

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

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

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 ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.

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

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 ...