Unpacking black-box models
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
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Artificial intelligence system learns concepts shared across video, audio, and text
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
Soft assistive robotic wearables get a boost from rapid design tool
Scientists have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care, smart homes, and gaming.
A one-up on motion capture
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
How can we reduce the carbon footprint of global computing?
Workshop hosted by MIT’s Climate and Sustainability Consortium, MIT-IBM Watson AI Lab, and the MIT Schwarzman College of Computing highlights how new approaches to computing can save energy and help the planet.
Multiplying the MIT $100K’s impact
The $100K Entrepreneurship Competition has inspired students to bring the model to regions across the globe.
An easier way to teach robots new skills
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.
A community approach to improving the health of the planet
Over the past four years, the mechanical engineering community at MIT has utilized their diverse skills and passions to develop solutions for the health of the planet.
Anticipating others’ behavior on the road
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
MIT scientists develop low-cost, high-precision fabrication method for thin mirrors and silicon wafers
A novel photolithography technique could be a manufacturing game-changer for optical applications.
A flexible way to grab items with feeling
MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.
Learning to think critically about machine learning
A multidisciplinary team of graduate students helps infuse ethical computing content into MIT’s largest machine learning course.
Three from MIT awarded 2022 Paul and Daisy Soros Fellowships for New Americans
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
Joystick-operated robot could help surgeons treat stroke remotely
The system could provide teleoperated endovascular treatment to patients during the critical time window after a stroke begins.
MIT’s FutureMakers programs help kids get their minds around — and hands on — AI
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.