Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

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

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 ...

This article is authored by Rishi Relan, Siemens Energy India Limited, Gurgaon and Manisha Saini, BML Munjal University, ...

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 ...

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

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

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

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 ...

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

Microsoft CEO Nadella argues learning loops beat picking the best AI model. Here's what a learning loop is, why it builds a ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...