A University of Houston professor of civil and environmental engineering is using artificial intelligence to make roads safer ...

As deadly monsoon downpours inundated the western Indian city of Surat in July 2026, social media users circulated a video with a false claim it was aerial footage showing the flooded city. The clip ...

Water resources play a pivotal role in sustaining ecosystems, supporting socioeconomic development, and ensuring ...

Advances in large language models are making rigorous sustainability analysis dramatically faster and cheaper, allowing ...

Searching for flood victims is a type of wilderness search and rescue that presents unique challenges. The goal for machine learning scientists is to rank which images have signs ...

Seven journalists talk about how AI is reshaping trust, money, and the newsroom - here are key takeaways from the Source Code ...

Google researchers published a new paper detailing a new way to catch spammers who are using generative AI to flood Google’s platform with spam and overwhelm its quality filters. While the research is ...

For the first time, an Earth observation satellite has found what it was looking for — on its own, without human analysts on the ground. The milestone, which occurred in April, marks the first ...

An innovation consultant who is skilled in probability and data analysis has developed a new national flood prediction system. A native of Dublin, currently residing in Enniscorthy in Co Wexford, ...

LONDON--(BUSINESS WIRE)--Trent AI, an agentic security company, today announced its emergence from stealth with a layered security solution built for the agentic era. Following a $13M seed round led ...

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.

Abstract: Machine learning methods have proven effective for mapping urban flood extents using remotely sensed data. However, the availability of suitable datasets remains a key challenge when ...