Why did my classifier just mistake a turtle for a rifle?
Two longtime friends explore how computer vision systems go awry.
Want to know what software-driven health care looks like? This class offers some clues.
A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.
Prime Minister Mark Rutte of the Netherlands tours MIT
Dutch delegation visits the Institute for a tour focused on computing, robotics, and health care innovation.
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.
Visiting lecturer to spearhead project exploring the geopolitics of artificial intelligence
At MIT, Luis Videgaray, alumnus and former foreign minister of Mexico, will launch project to help shape international AI policies.
IDSS hosts inaugural Learning for Dynamics and Control conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Machine learning for everyone
A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.
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.
New AI programming language goes beyond deep learning
General-purpose language works for computer vision, robotics, statistics, and more.
Translating proteins into music, and back
By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.
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.
From one brain scan, more information for medical artificial intelligence
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
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.