New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Rather than relying on passive slides and outdated examples, Amber Book develops courses around real engineering challenges - helping engineers apply lessons immediately on the job: strengthening ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

The Beaver Watershed Alliance (“BWA”) announced an acquisition of a Clean Water Act Section 319 Grant for use in the Beaver Lake Watershed to: ...

Abstract: Urban flooding, driven by rapid urbanization and accelerated climate change, poses a critical threat to modern cities. In this study, we present an integrated, machine learning-based ...

The climate pattern known for intense heat, floods and drought is likely to develop this summer, raising questions about disaster preparedness.

Abstract: Efficient prediction of tropospheric ozone $\left({O}_{3}\right)$ is crucial to monitor its harmful effects on the ecosystem and thereby take necessary actions. Owing to the complex ...

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...

BRADLEY BEACH — At the latest Land Use Board Feb. 19, the board was asked to vote on a resolution that would have opposed new state regulations that require an extra four feet of height above base ...

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...

While overall Parkinson disease (PD) risk was comparable between GLP-1RA and metformin initiators, GLP-1RA users experienced a significant 44% reduction in PD risk (aHR, 0.56) between 5 and 10 years ...