Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...
Tech Xplore on MSN
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 ...
Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
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