Saving seaweed with machine learning
PhD candidate Charlene Xia is developing a low-cost system to monitor the microbiome of seaweed farms and identify diseases before they spread.
PhD candidate Charlene Xia is developing a low-cost system to monitor the microbiome of seaweed farms and identify diseases before they spread.
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
Social robotics and artificial intelligence pioneer will oversee business units and help to guide innovative learning initiatives.
MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.
With a double major in linguistics and computer science, senior Rujul Gandhi works to surmount language and cultural barriers, globally and on campus.
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
“U.S. competitiveness depends less on defensive measures than on what we do to strengthen our own capacities,” says MIT’s vice president for research.
An international development practitioner, academic researcher, and social entrepreneur, Pantelic will help guide D-Lab into its third decade.
MIT App Inventor’s “Appathon” joins programmers from around the world to imagine a better future and start building it one app at a time.
A storytelling project by Christine Walley and Chris Boebel explores the social impacts of late 20th century deindustrialization.
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
Economists find companies’ adoption of robots is partly due to shortages in middle-aged labor.
How-to manual from MIT and the Fashion Institute of Technology codifies successful textiles partnership between designers, engineers.