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Building better trust between humans and machines
MIT-SUTD researchers are creating improved interfaces to help machines and humans work together to complete tasks.
Supercharging undergraduate research
Now open to the entire School of Engineering, SuperUROP is creating an interdisciplinary community of scholars.
Teaching machines to predict the future
Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.
Analog computing returns
New analog compiler could help enable simulation of whole organs and even organisms.
Parallel programming made easy
New chip design makes parallel programs run many times faster and requires one-tenth the code.
Eye-tracking system uses ordinary cellphone camera
Crowd-sourced data yields system that determines where mobile-device users are looking.
Artificial intelligence produces realistic sounds that fool humans
Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.
MIT Professional Education fuels a researcher / entrepreneur
Ralph Rodriguez has thrived with the help of 20 semesters in the Advanced Study Program.
A method to image black holes
New algorithm could stitch together astronomical measurements made across the globe.
MIT Corporation elects 10 term members, two life members
Term members will each serve five years on MIT’s board of trustees.
Julie Shah, Sandy Alexandre receive campus houseteam appointments
Shah named head of house after serving as Sidney Pacific associate housemaster; Alexandre joins East Campus as associate head of house.
![“[T]oday, if you want to write a program, you go and bring in these huge frameworks and these huge pieces of functionality that you then glue together, and you write a little code to get them to interact with each other. If you don’t understand what that big framework is doing, you’re not even going to know where your program is going to start executing,” says Armando Solar-Lezama.](/sites/default/files/styles/search_result_item/public/images/201605/MIT-Symbolic-Execution.jpg?itok=AFerW4xD)
Automatic bug finder
System could make complex analysis practical for programs that import huge swaths of code.
From MOOC to bootcamp to MIT
Two students with entrepreneurial spirit found their way into the Class of 2020 through MITx.