The impacts of active and self-supervised learning on efficient annotation of single-cell expression data Nature Communications They are used every day to make critical decisions in medical diagnosis, stock trading, energy load forecasting, and more. For example, media sites rely on machine learning to sift through millions of options to give you song or movie...Read More