TrialTranslator uses machine learning to assess cancer RCT generalizability, revealing survival gaps for high-risk patients ...
Personalized approaches informed by physiological data could revolutionize areas like workforce training, mental health ...
Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...
Kristy Folkwein has led a remarkable digital transformation at $88 billion revenue ADM. This has involved combining ...
Two of the most important fields in AI development are “machine learning” and its sub-field, “deep learning,” although the terms are sometimes used interchangeably, leading to a certain ...
Researchers developed metabolomic aging clocks using machine learning, uncovering links between metabolite profiles, health ...
Columnist Llewellyn King says an unfortunate result of the dash to secure AI franchise is big-tech companies rushed new ...
But a new paper in npj Computational Materials shows that even a simple machine learning model, trained with a modest amount of data, can significantly reduce the time needed for calculating ...