Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?

New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.

Associate professor of aeronautics and astronautics will head MIT’s longest continuously-running lab.

Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.

A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.

MIT researchers release the Synthetic Data Vault, a set of open-source tools meant to expand data access without compromising privacy.

MIT researchers reveal inadequacies in current battery models.

Annual MITEI awards support research on battery storage, smart grids, and carbon emissions reduction.

Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.

Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.