AI and machine learning for engineering design
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Balancing automation and agency, Associate Professor Arvind Satyanarayan develops interactive data visualizations that amplify human creativity and cognition.
Succeeding founding executive director Renee Robins, Giardina will help shape and implement the goals and initiatives of MIT’s eminent water and food program.
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
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.
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.
MIT researchers designed an electrolyte that can break apart at the end of a battery’s life, allowing for easier recycling of components.
Brushett leads one-of-its-kind program that has been a bridge between education and industry for over a century.
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.
Raul Radovitzky and Flavia Cardarelli reflect on a decade of telling bad dad jokes, learning Taylor Swift songs, and sharing a home with hundreds of students.
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.
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.