New AI method captures uncertainty in medical images
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
Improving drug development with a vast map of the immune system
Immunai’s founders were researchers at MIT when they launched their company to help predict how patients will respond to new treatments.
MIT-Mexico Program fosters cross-border collaboration
For two decades, MIT-Mexico has funded student internships and teaching, as well as faculty research collaborations.
With inspiration from “Tetris,” MIT researchers develop a better radiation detector
The device, based on simple tetromino shapes, could determine the direction and distance of a radiation source, with fewer detector pixels.
QS World University Rankings rates MIT No. 1 in 11 subjects for 2024
The Institute also ranks second in five subject areas.
Tackling cancer at the nanoscale
In MIT’s 2024 Killian Lecture, chemical engineer Paula Hammond described her groundbreaking work on nanoparticles designed to attack tumor cells.
A faster, better way to prevent an AI chatbot from giving toxic responses
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.
Extracting hydrogen from rocks
Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.
When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.
MIT engineers design flexible “skeletons” for soft, muscle-powered robots
New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.
For Julie Greenberg, a career of research, mentoring, and advocacy
The longtime academic leader of the Harvard-MIT Program in Health Sciences and Technology reflects on her time spent guiding students at the intersection of medicine and engineering.
Reevaluating an approach to functional brain imaging
An MRI method purported to detect neurons’ rapid impulses produces its own misleading signals instead, an MIT study finds.
Propelling atomically layered magnets toward green computers
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
Q&A: Tips for viewing the 2024 solar eclipse
Brian Mernoff of the Department of Aeronautics and Astronautics offers best practices to get the most out of your eclipse experience.
Researchers 3D print key components for a point-of-care mass spectrometer
The low-cost hardware outperforms state-of-the-art versions and could someday enable an affordable, in-home device for health monitoring.