Could all your digital photos be stored as DNA?
A technique for labeling and retrieving DNA data files from a large pool could help make DNA data storage feasible.
A technique for labeling and retrieving DNA data files from a large pool could help make DNA data storage feasible.
Assistant professor Connor Coley is developing tools that would be able to predict molecular behavior and learn from both successes and mistakes.
Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
Matthew Johnston ’20 uses physics and baseball skills to get remote villages on the grid.
Visualization software and hardware could offer new possibilities for coaching and sports training.
Machine learning software advances could help anesthesiologists optimize drug dose.
Society for Industrial and Applied Mathematics recognizes Kepner, a pivotal member of the team that established Lincoln Laboratory's Supercomputing Center, for his innovative work in computing.
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid-19 vaccine.
MIT researchers are using smartphones to gather roadway information previously inaccessible to many departments of transportation.
With just 50 lines of code, the program spots and fixes likely errors.
Lincoln Laboratory connects counter–human trafficking community in pursuit of technology to help investigate cases.
The findings could lead to faster, more secure memory storage, in the form of antiferromagnetic bits.
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.