What happens when companies on digital labor platforms no longer decide for themselves how much to pay their workers, but ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

Researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Northeastern University, Google Quantum AI, and the University of Texas at Austin have developed a new quantum ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

Watt’s online MSc Computer Science with AI, designed for working professionals to build practical AI and machine learning ...