Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The Financial Action Task Force’s gray list publicly identifies countries with strategic deficiencies in their AML/CFT ...

Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe.