Model paves way for faster, more efficient translations of more languages
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Machine-learning model provides risk assessment for complex nonlinear systems, including boats and offshore platforms.
Gift of $350 million establishes the MIT Stephen A. Schwarzman College of Computing, an unprecedented, $1 billion commitment to world-changing breakthroughs and their ethical application.
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
Program users can tinker with landing and path planning scenarios to identify optimal landing sites for Mars rovers.
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.
Adaptable Interpretable Machine Learning project is redesigning machine learning models so humans can understand what computers are thinking.
Users can quickly visualize designs that optimize multiple parameters at once.