“Kids are people too!”
Throughout his career, Professor Hal Abelson has worked to make information technology more accessible to people of all ages.
Throughout his career, Professor Hal Abelson has worked to make information technology more accessible to people of all ages.
The MIT Schwarzman College of Computing welcomes four new faculty members engaged in research and teaching that address climate risks and other environmental issues.
Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
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.
Mary Ellen Zurko pioneered user-centered security in the 1990s. Now she’s using those insights to help the nation thwart influence operations.
Researchers found that an understudied component of computer processors is susceptible to attacks from malicious agents. Then, they developed mitigation mechanisms.
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.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
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.