In field tests, MIT spinoff AgZen demonstrated that its feedback-optimized spraying system could halve the pesticide needs of farms and improve crop yields.

The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.

Using New York as a test case, the model predicts flooding at the level experienced during Hurricane Sandy will occur roughly every 30 years by the end of this century.

2023 Global Change Outlook from the MIT Joint Program on the Science and Policy of Global Change quantifies benefits of policies that cap global warming at 1.5 C.

An accordion-textured clay called smectite efficiently traps organic carbon and could help buffer global warming over millions of years.

A newly identified process could explain a variety of natural phenomena and enable new approaches to desalination.

MIT engineers and collaborators developed a solar-powered device that avoids salt-clogging issues of other designs.

A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.

A new technique uses remote images to gauge the strength of ancient and active rivers beyond Earth.

Technology demonstrations show the machine’s major components achieve the required performance.