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 ...

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 ...

In the animal kingdom, energy conservation is essential for survival. That's why our brains have evolved to be extremely ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

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 ...

The FIFA World Cup has seen 'Paul the Octopus' - the famous eight-limbed soothsayer. In this age of AI and machine learning, predicting a World Cup winner has become more refined. Take, for example, ...