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In Machine Learning, Synthetic Data Can Offer Real Performance Improvements

Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.

Machine Learning Facilitates “Turbulence Tracking” In Fusion Reactors

A new approach sheds light on the behavior of turbulent structures that can affect the energy generated during fusion reactions, with implications for reactor design.

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Using Sound To Model The World

This machine-learning system can simulate how a listener would hear a sound from any point in a room.

MIT working to develop 'smart' electric health records

Electronic health records have been widely adopted with the hope they would save time and improve the quality of patient care. But due to fragmented interfaces and tedious data entry procedures, physicians often spend more time navigating these systems than they do interacting with patients.