AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

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 ...

The study, published in Nature’s Scientific Reports, showed how a machine learning algorithm could rapidly learn about the physics behind a measurement of how steadily a reactor is producing power, ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...