Machines that learn language more like kids do
Computer model could improve human-machine interaction, provide insight into how children learn language.
How to mass produce cell-sized robots
Technique from MIT could lead to tiny, self-powered devices for environmental, industrial, or medical monitoring.
Model helps robots navigate more like humans do
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
Software finds the best way to stick a Mars landing
Program users can tinker with landing and path planning scenarios to identify optimal landing sites for Mars rovers.
Helping computers fill in the gaps between video frames
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Robots can now pick up any object after inspecting it
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.
Yo-yo champion pursues his passions at MIT
Alex Hattori, a senior in MechE and six-time national yo-yo champion, explores yo-yos and robotics inside and out of the classroom.
Sebastien Mannai, Antoni Rosinol Vidal win FutureMakers first prize
AeroAstro grad students win multi-university challenge by demonstrating the utility of machine vision in a complex system.
High school students learn to build big ideas
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.
Helping computers perceive human emotions
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel.
Cell-sized robots can sense their environment
Made of electronic circuits coupled to minute particles, the devices could flow through intestines or pipelines to detect problems.
“Blind” Cheetah 3 robot can climb stairs littered with obstacles
Improved design may be used for exploring disaster zones and other dangerous or inaccessible environments.
Alumni-founded robotic kitchen cooks up tasty meals
Spyce, a robot-assisted restaurant located in Boston, was invented to respond to a common MIT student desire: good, low-cost food.
![An example of a therapy session augmented with humanoid robot NAO [SoftBank Robotics], which was used in the EngageMe study. Tracking of limbs/faces was performed using the CMU Perceptual Lab's OpenPose utility.](/sites/default/files/styles/term_page__news_article/public/images/201806/MIT-Autism-Robots.png?itok=WUVBwk3H)
Personalized “deep learning” equips robots for autism therapy
Machine learning network offers personalized estimates of children’s behavior.
Chip upgrade helps miniature drones navigate
Low-power design will allow devices as small as a honeybee to determine their location while flying.