Identifying artificial intelligence “blind spots”
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Microhydraulic actuators, thinner than one-third the width of human hair, are proving to be the most powerful and efficient motors at the microscale.
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
Mars expert John Grotzinger tells the story of exploration and the search for ancient life on the red planet at the annual Carlson Lecture.
Computer model could improve human-machine interaction, provide insight into how children learn language.
Technique from MIT could lead to tiny, self-powered devices for environmental, industrial, or medical monitoring.
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.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.
Alex Hattori, a senior in MechE and six-time national yo-yo champion, explores yo-yos and robotics inside and out of the classroom.
AeroAstro grad students win multi-university challenge by demonstrating the utility of machine vision in a complex system.
Visiting students learn what it takes to be an engineer — and a bit more about themselves — at the Edgerton Center’s annual Engineering Design Workshop.
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel.
Made of electronic circuits coupled to minute particles, the devices could flow through intestines or pipelines to detect problems.