For healthy hearing, timing matters
Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.
The role of modeling in the energy transition
At the MITEI Fall Colloquium, the administrator of the US Energy Information Administration explained why long-term energy models are not forecasting tools — and why they’re still vitally important.
How hard is it to prevent recurring blackouts in Puerto Rico?
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
Want to design the car of the future? Here are 8,000 designs to get you started.
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.
Advancing urban tree monitoring with AI-powered digital twins
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.
Reality check on technologies to remove carbon dioxide from the air
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.
Killing the messenger
A newly characterized anti-viral defense system in bacteria aborts infection through a novel mechanism by chemically altering mRNA.
Revealing causal links in complex systems
MIT engineers’ algorithm may have wide impact, from forecasting climate to projecting population growth to designing efficient aircraft.
A new framework to efficiently screen drugs
Novel method to scale phenotypic drug screening drastically reduces the number of input samples, costs, and labor required to execute a screen.
Study finds mercury pollution from human activities is declining
Models show that an unexpected reduction in human-driven emissions led to a 10 percent decline in atmospheric mercury concentrations.
Modeling relationships to solve complex problems efficiently
Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.
Aligning economic and regulatory frameworks for today’s nuclear reactor technology
Today’s regulations for nuclear reactors are unprepared for how the field is evolving. PhD student Liam Hines wants to ensure that policy keeps up with the technology.
3 Questions: The past, present, and future of sustainability science
Professor Ronald Prinn reflects on how far sustainability has come as a discipline, and where it all began at MIT.
Machine learning unlocks secrets to advanced alloys
An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
Studying astrophysically relevant plasma physics
Thomas Varnish has always loved a hands-on approach to science. Research in lab-based astrophysics has enabled the PhD student to experiment in a heavily theoretical subject.