Finding the love hormone in a stressed-out world
A new art/science collaboration uses molecular structures as its creative medium.
A new art/science collaboration uses molecular structures as its creative medium.
Assistant professor Connor Coley is developing tools that would be able to predict molecular behavior and learn from both successes and mistakes.
How a pair of MIT Sloan Executive Education alumni translated teachings from an MIT course to operations improvements at Mexico’s largest brewery.
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.
Machine learning software advances could help anesthesiologists optimize drug dose.
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.
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
MIT researchers are using smartphones to gather roadway information previously inaccessible to many departments of transportation.
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
Lincoln Laboratory connects counter–human trafficking community in pursuit of technology to help investigate cases.
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
Design of miniature optical systems could lead to future cell phones that can detect viruses and more.
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.