Restoring amputees’ natural functionality with brain-controlled interfaces
MIT student Eeshan Tripathii is working with his sister to engineer an intuitive brain-controlled interface for upper-limb prosthetics.
US Air Force pilots get an artificial intelligence assist with scheduling aircrews
An optimization tool from the Department of Air Force–MIT AI Accelerator is transforming the laborious process of staffing C-17 cargo flights.
Designing exploratory robots that collect data for marine scientists
“This is a really exciting time to be a roboticist who also cares about the environment,” says PhD student Victoria Preston.
The power of two
Graduate student Ellen Zhong helped biologists and mathematicians reach across departmental lines to address a longstanding problem in electron microscopy.
Revisiting a quantum past for a fusion future
Principal Research Scientist Abhay Ram circles back to his graduate school studies for a new initiative combining classical physics and quantum computing.
Finding the love hormone in a stressed-out world
A new art/science collaboration uses molecular structures as its creative medium.
Using computational tools for molecule discovery
Assistant professor Connor Coley is developing tools that would be able to predict molecular behavior and learn from both successes and mistakes.
Unleashing capacity at Heineken México with systems thinking from MIT
How a pair of MIT Sloan Executive Education alumni translated teachings from an MIT course to operations improvements at Mexico’s largest brewery.
Accelerating AI at the speed of light
Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
The potential of artificial intelligence to bring equity in health care
Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
Taking an indirect path into a bright future
Matthew Johnston ’20 uses physics and baseball skills to get remote villages on the grid.
New algorithms show accuracy, reliability in gauging unconsciousness under general anesthesia
Machine learning software advances could help anesthesiologists optimize drug dose.
Behind Covid-19 vaccine development
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.
Using machine learning to predict high-impact research
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
Crowdsourcing data on road quality and excess fuel consumption
MIT researchers are using smartphones to gather roadway information previously inaccessible to many departments of transportation.