Charting a safe course through a highly uncertain environment
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
MIT Lincoln Laboratory study explores a new approach to securing systems.
Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.
Have a question about numerical differential equations? Odds are this CSAIL research affiliate has already addressed it.
Senior Keith Murray combines his interests in neuroscience, computation, and philosophy to better understand human behavior.
Professor Peter Fisher will lead effort to grow and enhance computing infrastructure and services for MIT’s research community.
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
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 new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Their model’s predictions should help researchers improve ocean climate simulations and hone the design of offshore structures.
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.
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.