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 ...

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

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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 ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

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

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