Designing zeolites, porous materials made to trap molecules
MIT engineers are controlling pore openings for maximum molecule capture.
Taking a magnifying glass to data center operations
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
New leadership at MIT’s Center for Biomedical Innovation
Stacy Springs named executive director; Richard Braatz is associate faculty director.
Building better batteries, faster
PhD student Pablo Leon uses machine learning to expedite research on novel battery materials, while helping newer students navigate graduate school.
Bringing lessons from cybersecurity to the fight against disinformation
Mary Ellen Zurko pioneered user-centered security in the 1990s. Now she’s using those insights to help the nation thwart influence operations.
New programmable materials can sense their own movements
Engineers 3D print materials with networks of sensors directly incorporated.
Caspar Hare, Georgia Perakis named associate deans of Social and Ethical Responsibilities of Computing
The faculty members will work together to advance the cross-cutting initiative of the MIT Schwarzman College of Computing.
Solving a longstanding conundrum in heat transfer
Hailing from a small town in Italy, Matteo Bucci is determined to address some of the unknowns plaguing fundamental science.
New algorithm aces university math course questions
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
Using artificial intelligence to control digital manufacturing
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
New hardware offers faster computation for artificial intelligence, with much less energy
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Q&A: Warehouse robots that feel by sight
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
Explained: How to tell if artificial intelligence is working the way we want it to
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
A technique to improve both fairness and accuracy in artificial intelligence
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
Four researchers with MIT ties earn Schmidt Science Fellowships
International award supports early-career scientists and engineers as they pursue interdisciplinary works.