Plant sensors could act as an early warning system for farmers
Sensors that detect plant signaling molecules can reveal when crops are experiencing too much light or heat, or attack from insects or microbes.
3 Questions: Enhancing last-mile logistics with machine learning
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
A blueprint for making quantum computers easier to program
A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.
“Nanostitches” enable lighter and tougher composite materials
In research that may lead to next-generation airplanes and spacecraft, MIT engineers used carbon nanotubes to prevent cracking in multilayered composites.
A biomedical engineer pivots from human movement to women’s health
Postdoc Shaniel Bowen studies women's sexual anatomy and health while also working to interest young women in STEM careers.
A new way to detect radiation involving cheap ceramics
Work by MIT engineers could lead to plethora of new applications, including better detectors for nuclear materials at ports.
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.
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.
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.
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.
This 3D printer can figure out how to print with an unknown material
The advance could help make 3D printing more sustainable, enabling printing with renewable or recyclable materials that are difficult to characterize.
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.
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.