MIT professors Dave Des Marais and Caroline Uhler combine plant biology and machine learning to identify genetic roots of plant responses to environmental stress.

New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.

Research finds Covid-19-related lockdowns led to a marked reduction in walking in lower-income areas of major metropolises.

New research offers insight for city planning and workforce development.

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

Analysis quantifies a dramatic price drop that parallels similar improvements in solar and wind energy, and shows further steep declines could be possible

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

A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.

United under the Sustainability Incubator Fund, researchers strategize sustainable sourcing solution for crises at the local and global level.

Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.