A new generative AI approach to predicting chemical reactions
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
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 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.
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
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.
Bowen’s innovative work helped transform ceramics and manufacturing education at MIT and beyond.
New research can identify opportunities to drive down the cost of renewable energy systems, batteries, and many other technologies.
Faculty members were honored in recognition of their scholarship, service, and overall excellence.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.