A big new home for the ultrasmall
MIT.nano building, the largest of its kind, will usher in a new age of nanoscale advancements.
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3Q: Antonio Torralba on what's next for the Quest for Intelligence
Inaugural director of The Quest discusses what's been accomplished since last spring's launch and what is on the horizon.
A game changer takes on cricket’s statistical problem
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Creating 3-D-printed “motion sculptures” from 2-D videos
CSAIL system could help athletes, dancers, and others better analyze how they move.
Machine-learning system tackles speech and object recognition, all at once
Model learns to pick out objects within an image, using spoken descriptions.
Connor Coley named a Chemical and Engineering News Talented Twelve
Chemical engineering graduate student was named a “machine-learning maestro” by the magazine.
Helping computers fill in the gaps between video frames
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Artificial intelligence system uses transparent, human-like reasoning to solve problems
Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.
Smoothing out sketches’ rough edges
MIT-developed tool improves automated image vectorization, saving digital artists time and effort.
Robots can now pick up any object after inspecting it
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.
MIT undergraduates to embark on The Quest
Up to 100 Quest-funded UROP projects aim to crack the code of human and machine intelligence.
Sebastien Mannai, Antoni Rosinol Vidal win FutureMakers first prize
AeroAstro grad students win multi-university challenge by demonstrating the utility of machine vision in a complex system.
Model can more naturally detect depression in conversations
Neural network learns speech patterns that predict depression in clinical interviews.
Model improves prediction of mortality risk in ICU patients
By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.
MIT-created programming language Julia 1.0 debuts
The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.