Automating big-data analysis
With new algorithms, data scientists could accomplish in days what has traditionally taken months.
With new algorithms, data scientists could accomplish in days what has traditionally taken months.
One-on-one conversation in WIRED focuses on advancements in artificial intelligence and how society should respond to related concerns.
“Electome” project charts the national conversation in unique detail.
Computer system could help identify subtle speech, language disorders in time for early intervention.
Imaging scientist and inventor sets sights on launching peer-to-peer invention platforms for global impact.
Resource could yield linguistic insights, practical applications for non-native English speakers.
MIT Lincoln Laboratory radar system achieves centimeter-level localization; could help driverless cars stay in lane when road markings are obscured.
MIT-SUTD researchers are creating improved interfaces to help machines and humans work together to complete tasks.
Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.
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.
Assistant professor of electrical engineering and computer science discusses his work focusing on learning graphical models from data.
Automatic bug-repair system fixes 10 times as many errors as its predecessors.
“3-D physics engine” from the Computer Science and Artificial Intelligence Laboratory simulates the human brain to infer physical properties.