Laden...
Study: Without HOV policies, urban traffic gets much, much worse.
System for generating ad hoc “cache hierarchies” increases processing speed while reducing energy consumption.
Method for designing efficient computer chips may get miniature smart drones off the ground.
Density of highly educated residents, rather than income or housing costs, predicts revitalization.
Study: Being near colleagues helps cross-disciplinary research on papers and patents.
Targeted treatment could be used for pneumonia and other bacterial infections.
A study by MIT researchers shows that carpool lanes can help reduce a city’s traffic, reports Matt McFarland for CNN. The researchers found that the removal of HOV lanes increased driving times across Jakarta, Indonesia. "The magnitude was enormous and more than I would've expected," says Prof. Ben Olken.
A study by MIT researchers shows that physical proximity can increase collaboration, reports Colleen Flaherty for Inside Higher Ed. The researchers examined thousands of papers and patents stemming from MIT research and found that “paper collaborators in the same workspace were three times more likely to work together than those located 400 meters apart.”
Forbes reporter Kevin Murnane writes about how MIT researchers have used a computer vision system to examine how several American cities physically improved or deteriorated over time. Murnane writes that the study, “provides important support for nuanced versions of traditional theories about why urban neighborhoods change over time.”
Group will explore opportunities to disseminate MIT knowledge as widely as possible.
PhD student Reginald Avery is developing an injectable material that patches ruptured blood vessels.
Engineers and co-directors of MITEI's Energy Bioscience Low-Carbon Energy Center discuss their vision for transforming the energy system.
Unsubscribe from our newsletter.
Have feedback or questions about our newsletter? Email mitnews-email@mit.edu
This email was sent by: MIT News Office, 77 Massachusetts Avenue, Room 11-400, Cambridge, MA, 02139-4307, USA
© 2025