The Frontiers of Machine Learning

The National Academies of Sciences, Engineering, and Medicine has released a report that summarizes the high-level interdisciplinary discussions that took place during the Raymond and Beverly Sackler U.S.-U.K. Scientific Forum “The Frontiers of Machine Learning” took place on January 31 and February 1, 2017, in Washington, D.C.

The field of machine learning continues to advance at a rapid pace owing to increased computing power, better algorithms and tools, and greater availability of data. Machine learning is now being used in a range of applications, including transportation and the developing automated vehicles, healthcare and the understanding the genetic basis of disease, and in criminal justice and the predicting recidivism.

As the technology advances, it promises additional applications that can contribute to individual and societal well-being.