Approaching human cognition from many angles
Senior Keith Murray combines his interests in neuroscience, computation, and philosophy to better understand human behavior.
MIT to launch new Office of Research Computing and Data
Professor Peter Fisher will lead effort to grow and enhance computing infrastructure and services for MIT’s research community.
Unpacking black-box models
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
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.
What words can convey
Natural language processing models capture rich knowledge of words’ meanings through statistics.
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.
Engineers use artificial intelligence to capture the complexity of breaking waves
Their model’s predictions should help researchers improve ocean climate simulations and hone the design of offshore structures.
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.
3 Questions: Designing software for research ethics
PhD candidate Jonathan Zong found a lack of systems that earn and maintain public trust in large-scale online research — so he made one himself.
Estimating the informativeness of data
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
A new state of the art for unsupervised computer vision
MIT CSAIL scientists created an algorithm to solve one of the hardest tasks in computer vision: assigning a label to every pixel in the world, without human supervision.
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.
A flexible way to grab items with feeling
MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.
Looking forward to forecast the risks of a changing climate
To better inform local policy in the face of changing weather extremes, MIT researchers seek to advance the modeling of long-term weather risks.