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.
Autonomous boats can target and latch onto each other
Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.
Cracking open the black box of automated machine learning
Interactive tool lets users see and control how automated model searches work.
Q&A: Phillip Isola on the art and science of generative models
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Teaching language models grammar really does make them smarter
Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.
Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
Developing artificial intelligence tools for all
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.