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

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

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 ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

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

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

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

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

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

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

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 ...