Soft materials hold onto “memories” of their past, for longer than previously thought
New findings could help manufacturers design gels, lotions, or even paving materials that last longer and perform more predictably.
New findings could help manufacturers design gels, lotions, or even paving materials that last longer and perform more predictably.
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
New test could help determine if AI systems that make accurate predictions in one area can understand it well enough to apply that ability to a different area.
The ultrabroadband infrared frequency comb could be used for chemical detection in portable spectrometers or high-resolution remote sensors.
You can adjust the frequency range of this durable, inexpensive antenna by squeezing or stretching its structure.
As large language models increasingly dominate our everyday lives, new systems for checking their reliability are more important than ever.
Training an ever-growing percentage of MIT’s students, the Department of Electrical Engineering and Computer Science relies heavily on dedicated and passionate TAs.
New research can identify opportunities to drive down the cost of renewable energy systems, batteries, and many other technologies.
Ianacare, co-founded by Steven Lee ’97, MEng ’98, equips caregivers with the resources, networks, and tools they need to support loved ones.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
AeroAstro professor and outgoing co-director of the Center for Computational Science and Engineering will play a vital role in fostering community for bilingual computing faculty.