Vitalik Buterin argues Ethereum should remain secure and functional even if core developers “walk away.” Here’s what the ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The success of efforts to turn Phoenix into a dominant center of semiconductor manufacturing may hinge on efforts to train local workers. A gowning area at Arizona State University’s student-operated ...
We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...
Objective: To develop and validate a machine learning (ML)-based prediction model of Bethesda III nodules and create a nomogram based on the best model. Methods: We collected data on patients with ...
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