Sanjay Sarma to step down as vice president for open learning
Following nine years leading MIT’s work on digital learning, the longtime faculty member will focus on teaching, research, writing, and entrepreneurship.
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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.
Secret superheroes of EECS
Lecturers ensure the technology, curriculum, and instructional delivery of MIT’s classroom education keep up with the dizzying pace of its research.
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.
Surface coating designed to improve power plant efficiency wins 2022 Water Innovation Prize
The student pitch competition included a variety of solutions addressing water access, usage, and maintenance.
Aging Brain Initiative awards fund five new ideas to study, fight neurodegeneration
Competitive seed grants launch yearlong investigations of novel hypotheses about potential causes, biomarkers, treatments of Alzheimer’s and ALS.
Multiplying the MIT $100K’s impact
The $100K Entrepreneurship Competition has inspired students to bring the model to regions across the globe.
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.
A smarter way to develop new drugs
A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.
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.
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.
Providing hands-on photonics education across Massachusetts
MIT’s LEAP at MIT.nano is the first in a network to advance manufacturing for the state.
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.