Researchers at CSAIL and Boston Children’s Hospital have developed a system that can take MRI scans of a patient’s heart and, in a matter of hours, convert them into a tangible, physical model that surgeons can use to plan surgery.The models could provide a more intuitive way for surgeons to assess and prepare for the anatomical idiosyncrasies of individual patients. “Our collaborators are convinced that this will make a difference,” says professor and CSAIL principal investigator Polina Golland, who led the project. “The phrase I heard is that ‘surgeons see with their hands,’ that the perception is in the touch.” This fall, seven cardiac surgeons at Boston Children’s Hospital will participate in a study intended to evaluate the models’ usefulness.
How does a bird handle the wind, hanging effortlessly while battered by gusts and darting through clusters of trees with seamless precision? Associate Professor Russ Tedrake wants to understand how birds can operate under such conditions and create machines that can do the same. His current goal is to develop an aircraft that can fly like a bird, darting through trees and narrowly avoiding obstacles during fast-paced flight. Tedrake and his research group at CSAIL, the Robot Locomotion Group, recently unveiled a video of a new computer-controlled aircraft that is able to accurately perform knife-edge turns, rolling 90 degrees to dart through an opening narrower than the aircraft's wingspan.
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
The confluence of medicine and artificial intelligence stands to create truly high-performance, specialized care for patients, with enhanced precision diagnosis and personalized disease management. But to supercharge these systems we need massive amounts of personal health data, coupled with a delicate balance of privacy, transparency, and trust.
Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.
Autonomous robots performing a joint task send each other continual updates: “I’ve passed through a door and am turning 90 degrees right.” “After advancing 2 feet I’ve encountered a wall. I’m turning 90 degrees right.” “After advancing 4 feet I’ve encountered a wall.” And so on.Computers, of course, have no trouble filing this information away until they need it. But such a barrage of data would drive a human being crazy.
Babies as young as 10 months can assess how much someone values a particular goal by observing how hard they are willing to work to achieve it, according to a new study from MIT and Harvard University.
Thanks to Quanta Computer, Inc., CSAIL researchers now have access to a mini cloud, a significant contribution to the lab's research infrastructure.
According to Dr. Ted Chang, Quanta's CTO, the mini cloud donation is intended to support cloud computing and academic research, and to serve as a "platform to support the T-Party project," CSAIL's collaborative effort with Quanta to build an integrated virtual computing environment.
y securely aggregating sensitive data from cyber-attacks, MIT CSAIL’s platform can quantify an organization’s level of security and suggest what to prioritize