Is statistical modeling for glacier loss accurate?

Glacier loss is a pressing concern worldwide, with ice melt impacting freshwater supplies, sea-level rise and ocean circulation. Often, global glacier models are employed to better understand the extent of this threat, such ...

Refining biome labeling for microbial community samples

In a study published in the journal Environmental Science and Ecotechnology, researchers from Huazhong University of Science and Technology have introduced "Meta-Sorter," an AI-based method that leverages neural networks ...

Team develops a solution for temporal asymmetry

Life, from the perspective of thermodynamics, is a system out of equilibrium, resisting tendencies towards increasing their levels of disorder. In such a state, the dynamics are irreversible over time. This link between the ...

Using machine learning to estimate stellar ages

Researchers from Keele University have developed a machine learning technique that helps astronomers better estimate the ages of stars from the chemicals within their atmospheres. The new research will be presented at the ...

A tailored and rapid approach for ozonation catalyst design

In a new study published in the journal Environmental Science and Ecotechnology, researchers from the Chinese Research Academy of Environment Sciences have employed machine learning, specifically the artificial neural network ...

Mapping beaver dams with machine learning

North American beavers transform ecosystems with their engineering prowess. By ponding water, excavating channels, and foraging nearby vegetation, they drastically alter landscapes across a variety of environments, from tundra ...

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