Teaching AI to learn from non-experts

Today my IBM team and my colleagues at the UCSF Gartner lab reported in Nature Methods an innovative approach to generating datasets from non-experts and using them for training in machine learning. Our approach is designed to enable AI systems to learn just as well from non-experts as they do from expert-generated training data. We developed a platform, called Quanti.us, that allows non-experts to analyze images (a common task in biomedical research) and create an annotated dataset. The platfor…
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