New programmable materials can sense their own movements
Engineers 3D print materials with networks of sensors directly incorporated.
3 Questions: Amar Gupta on an integrated approach to enhanced health-care delivery
The MIT researcher and former professor discusses how Covid-19 and the influx of virtual technologies created a new medical ecosystem that needs more synchronized oversight.
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.
Leveraging computational tools to enhance product design
Graduate student Jana Saadi works on making the product design process more creative and inclusive.
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.
Why it’s a problem that pulse oximeters don’t work as well on patients of color
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
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.
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.
Teaching AI to ask clinical questions
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Smart textiles sense how their users are moving
Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
Startup lets doctors classify skin conditions with the snap of a picture
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.