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 ...

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 ...

Feed the network new odors a couple at a time—a stress test for catastrophic forgetting—and Spi-Fly barely blinks, holding ...

AI fuels Duke research with the potential to improve human lives, from modeling patient hearts with supercomputers and mining health data to predict ADHD risk in children to predicting how molecules ...

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 ...

One of the most common applications of artificial intelligence in finance is in lending. Machine learning algorithms and ...