Juan M. Lavista Ferres, the chief data scientist at Microsoft's AI for Good Lab, discusses how artificial intelligence might ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

How Bloomberg is helping its Apac clients’ digital transformations across key areas, such as system interoperability, ...

We conducted a longitudinal cohort and machine learning study by including consecutive living-donor kidney transplantations between January 1, 2007, ... donors typically reach stabilized renal ...

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

In complex and dynamic environments, achieving autonomous decision-making and control of agent remains a challenging task. Traditional reinforcement learning algorithms often struggle to effectively ...

Machine learning (ML) has been used to uncover the impacts of these mechanisms through feature engineering, but progress is limited by the data quality for training. Herein, we developed a universal ...