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

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

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

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 ...

Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

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 ...

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 ...

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 ...

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