Researchers from the University of St Andrews have developed an AI tool that reads animal movement from video and turns it into clear, human-readable descriptions, making behavioral analysis faster, cheaper, and scalable ...
The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only low-latitude current that connects the two bodies of water, it plays a key role in ocean circulation and ...
Foams are everywhere: soap suds, shaving cream, whipped toppings and food emulsions like mayonnaise. For decades, scientists believed that foams behave like glass, their microscopic components trapped in static, disordered ...
The bioconcentration factor shows the concentration of chemical substances in fish as compared to the surrounding water. It is the standard measure for determining the bioaccumulation of chemicals in the environment.
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or a snapshot of the ocean's surface, including peaks and valleys due to changes in wind, currents ...
When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect infrastructure and communities from 50- and 100-year floods. But as climate change increases the frequency and ...
When a grizzly bear attacked a group of fourth- and fifth-graders in western Canada in late November 2025, it sparked more than a rescue effort for the 11 people injured—four with severe injuries. Local authorities began ...
Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British Columbia shows that these models often get the right answers for the wrong reasons.
Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat when caught early. To help achieve that goal, MIT and Microsoft researchers are using artificial ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric traits and estimation of yields in both laboratory and field settings without the need for model retraining.
