Model helps robots navigate more like humans do
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
MIT experts are among co-authors calling for ballot paper trails and other resilient practices to avoid election hacking.
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
Model learns to pick out objects within an image, using spoken descriptions.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.
MIT-developed tool improves automated image vectorization, saving digital artists time and effort.
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.
Since its first online offering in 2012, Introduction to Computer Science using Python from MITx has become the most popular MOOC in MIT history.
By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.
The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.
Study of 188 practitioners distills key recommendations about using technology to advance social justice and the public interest.
CSAIL wireless system suggests future where doctors could implant sensors to track tumors or even dispense drugs.
Novel combination of two encryption techniques protects private data, while keeping neural networks running quickly.
Users can quickly visualize designs that optimize multiple parameters at once.