3 Questions: Exploring the limits of carbon sequestration
Assistant Professor César Terrer discusses pioneering volcano research to track carbon dynamics in tropical forests.
AI system predicts protein fragments that can bind to or inhibit a target
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
MIT faculty, alumni named 2025 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Rooftop panels, EV chargers, and smart thermostats could chip in to boost power grid resilience
MIT engineers propose a new “local electricity market” to tap into the power potential of homeowners’ grid-edge devices.
Chip-based system for terahertz waves could enable more efficient, sensitive electronics
Researchers developed a scalable, low-cost device that can generate high-power terahertz waves on a chip, without bulky silicon lenses.
Reducing carbon emissions from residential heating: A pathway forward
A new MIT study identifies steps that can lower not only emissions, but also costs, across the combined electric power and natural gas industries that now supply heating fuels.
J-WAFS: Supporting food and water research across MIT
For the past decade, the Abdul Latif Jameel Water and Food Systems Lab has strengthened MIT faculty efforts in water and food research and innovation.
MIT community members elected to the National Academy of Engineering for 2025
Eight researchers, along with 13 additional alumni, are honored for significant contributions to engineering research, practice, and education.
Cynthia Barnhart to step down as provost
An alumna and longtime faculty member, Barnhart helped lead the Institute for the last decade, serving as both chancellor and provost.
Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
Unlocking the secrets of fusion’s core with AI-enhanced simulations
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
MIT class takes students on a grand tour of the interdisciplinary world of biotech
Exploring and applying concepts from different disciplines provides broad knowledge and hands-on practice for real-world application.
Engineers turn the body’s goo into new glue
They combined a blend of slimy and sticky proteins to produce a fast-acting, bacteria-blocking, waterproof adhesive for use in biomedical applications.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.