Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

A new algorithm analyzes electrical activity in the brain to forecast whether standard depression drugs will work, ...

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...

A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...