Automated system generates robotic parts for novel tasks
When designing actuators involves too many variables for humans to test by hand, this system can step in.
Making wireless communication more energy efficient
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
Teaching artificial intelligence to create visuals with more common sense
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
Drag-and-drop data analytics
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
Record-breaking DNA comparisons drive fast forensics
Developed at MIT Lincoln Laboratory, IdPrism and its award-winning algorithms provide rapid analysis for complex forensic DNA samples.
New AI programming language goes beyond deep learning
General-purpose language works for computer vision, robotics, statistics, and more.
Want to learn how to train an artificial intelligence model? Ask a friend.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
Spotting objects amid clutter
New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.
From one brain scan, more information for medical artificial intelligence
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
Creating 3-D images, with regular ink
MIT startup Lumii helps manufacturers replicate the visual effects of holograms on their printed materials.
Automated cryptocode generator is helping secure the web
System automatically writes optimized algorithms to encrypt data in Google Chrome browsers and web applications.
Teaching artificial intelligence to connect senses like vision and touch
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
Toward artificial intelligence that learns to write code
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
Algorithm tells robots where nearby humans are headed
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
Chip design drastically reduces energy needed to compute with light
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.