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.

Using limited data, this automated system predicts a company’s quarterly sales.

Connected devices can now share position information, even in noisy, GPS-denied areas.

L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.

Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.