News by Subject Technology & Engineering

In a pair of upcoming conference papers, MIT researchers describe a machine-learning algorithm that can register brain scans and other 3D images more than 1,000 times more quickly using novel learning techniques.

Scientists from the University of Bonn have developed software that can look minutes into the future: The program learns the typical sequence of actions, such as cooking, from video sequences. Then it can predict in new situations what the chef will do at which point in time. Researchers will present their findings at the world's largest Conference on Computer Vision and Pattern Recognition, which will be held June 19-21 in Salt Lake City, USA.

MIT engineers have created soft, 3D-printed structures whose movements can be controlled with a wave of a magnet, much like marionettes without the strings. The menagerie of structures that can be magnetically manipulated includes a smooth ring that wrinkles up, a long tube that squeezes shut, a sheet that folds itself, and a spider-like 'grabber' that can crawl, roll, jump, and snap together fast enough to catch a passing ball.

Method created in Brazil combines mass spectrometry analysis of blood serum with an algorithm that recognizes patterns associated with diseases from various origins. Adoption of machine learning technique allows the program to adapt itself to possible viral mutations.

PlinyCompute, a big data platform designed specifically for developing high-performance and data-intensive codes, will be unveiled by Rice University computer scientists at this week's 2018 ACM SIGMOD conference in Houston.

Machine learning using real-time symptom reports can accurately detect lymphedema, a distressing side effect of breast cancer treatment that is more easily treated when identified early, finds a new study led by NYU Rory Meyers College of Nursing and published in the journal mHealth.