Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Two brain regions, M2 and OFC, work together to balance steady habits with flexible learning when choices become uncertain.
Professor Edmund Lam, Dr. Ni Chen and their research team from the Department of Electrical and Electronic Engineering under ...
Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
President Trump’s trade war is still playing out, and the full effect will be felt heading into next year, the latest projections show. By Liz Alderman Reporting from Paris President Trump’s efforts ...
Although deep learning methods have made significant strides in single image sand dust removal, the heterogeneous uncertainty induced by dusty environments poses a considerable challenge. In response, ...
(WJAR) — With so many districts going back to school this week, it was 5 years ago many students didn't know if they'd be in the classroom. It was the height of the pandemic in 2020. ALSO READ: ...
Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Can you be certain about uncertainty? This is not a paradox but a real question that engineers wrestle with regularly. In simulating various scenarios in which a product might fail, whether a ...
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