Fire spotters used to watch with binoculars from forest towers. Now, technology can help forecast fire behavior, but human experience is still essential.

MIT study finds a diversified portfolio of carbon dioxide removal options delivers the best return on investment.

Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.

Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

Study finds many climate-stabilization plans are based on questionable assumptions about the future cost and deployment of “direct air capture” and therefore may not bring about promised reductions.

A newly characterized anti-viral defense system in bacteria aborts infection through a novel mechanism by chemically altering mRNA.

MIT engineers’ algorithm may have wide impact, from forecasting climate to projecting population growth to designing efficient aircraft.

Novel method to scale phenotypic drug screening drastically reduces the number of input samples, costs, and labor required to execute a screen.