Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

With peak wildfire season underway in California, PG & E's Chief Meteorologist Scott Stenfel held a virtual Wildfire Season ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

Abstract: As fake news spreads rapidly in social media, attempts to develop detection technology to automatically identify fake news are actively being developed, recently. However, most of them focus ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Modern anti-personnel mines are small and often made with plastic casings that standard metal detectors cannot detect.

R code used for the machine learning portion of: Kieran, T.J., Sun, X., Maines, T.R. et al. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ...

The central bank's draft guidelines require board-approved model risk frameworks, stronger oversight of AI models and ...

A steer-by-wire bicycle reliably distinguishes between cornering and unstable riding conditions, enhancing riding safety.

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...