Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach reconstructs ...
Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Urine-based aging clocks In the study, " A urinary microRNA aging clock accurately predicts biological age," published in npj Aging, researchers used machine learning to develop and validate a urinary ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Background: Cardiovascular disease (CVD) is the leading cause of mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD), yet traditional risk predictors remain ...
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