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

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 ...

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

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

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 patent filing covers a machine learning-based demand platform optimisation system designed to improve ad delivery ...

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

Using machine learning, researchers mapped a 250-kilometer earthquake cluster along the Yakutat slab edge, revealing ...

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

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

Seattle-based Overland AI won a Marine Corps contract to produce more than a dozen autonomous ground vehicles, which the ...