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 ...

VIJAYAWADA: Venkata Sree Karthikeya Gattupalli, a tech entrepreneur with roots in Tadepalli, has been selected to present his ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

By combining high-tech chemical scanning tech with advanced machine learning, the system can detect the adulteration of food ...

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

CoreWeave (CRWV) released a public preview of ARIA on June 29, an AI agent built to analyze machine learning experiments ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

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

Google Search is evolving from a results page into a continuous AI training pipeline powered by user behavior. This shift ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...