Research Stories
-
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
-
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
-
New stamp-sized ultrasound adhesives produce clear images of heart, lungs, and other internal organs.
-
The technique opens a door to manufacturing of pressure-monitoring bandages, shade-shifting fabrics, or touch-sensing robots.
-
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
-
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
-
Alex Shalek’s technologies for single-cell RNA profiling can help dissect the cellular bases of complex diseases around the globe.
-
Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
-
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.
-
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.