An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Researchers found that an understudied component of computer processors is susceptible to attacks from malicious agents. Then, they developed mitigation mechanisms.
Engineers 3D print materials with networks of sensors directly incorporated.
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.
The faculty members will work together to advance the cross-cutting initiative of the MIT Schwarzman College of Computing.
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
MIT researchers create KineCAM, an instant camera that yields images that appear to move.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.