JuliaCon draws global users of a dynamic, easy-to-learn programming language
Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.
Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.
Professor emeritus helped launch field of information theory and developed early time-sharing computers.
System from Computer Science and Artificial Intelligence Lab suggests where to move patients and who should do C-sections.
Analysis of ant colony behavior could yield better algorithms for network communication.
Network can protect users’ anonymity if all but one of its servers are compromised.
New grants help MIT Libraries, DMSE, and CSAIL push the boundaries of examining artifacts.
Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.
New analog compiler could help enable simulation of whole organs and even organisms.
New chip design makes parallel programs run many times faster and requires one-tenth the code.
Crowd-sourced data yields system that determines where mobile-device users are looking.
Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.
New algorithm could stitch together astronomical measurements made across the globe.
Analysis shows popular video game is among the hardest problems in the “complexity class” PSPACE.