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“In physical therapy, you often need to gather patient data on how they are moving and stretching their arm during rehabilitation. Surface shape sensing could be very useful in that way,” says graduate student Qifan Yu.

Shape-sensing sheet digitally tracks its movement as it bends and twists

10.08.26
Newly-tenured associate professor Christina Delimitrou applies machine learning to make large cloud computing systems more efficient, secure, and reliable.

Using AI to mitigate the growing environmental threat of data centers

10.08.26
“Looking back, we were the luckiest people in the world,” Margaret Hamilton said of her time as an MIT software engineer working with NASA’s Apollo program, which aimed to land the first humans on the moon. “There was no choice but to be pioneers.”

Margaret Hamilton, computing pioneer who led software development for the Apollo program, dies at 90

10.07.26
The new “Seashell” platform developed by MIT Sea Grant researchers serves as an efficient, shared way to track and communicate shellfishing area status.

Turning the tide on Massachusetts shellfishing data

10.07.26
MIT researchers have developed a method that plans a flight path for a UAV that eludes unknown obstacles that may move in unpredictable ways. It charts an efficient course through an unmapped environment that is mathematically proven to be safe from collisions.

Planning system ensures a robot’s flight path will remain collision-free

10.07.26
“Societal impact is a lifelong endeavor, not something to be accomplished in a few years,” says Associate Professor Cathy Wu. “It will take years to really understand what’s going on and where the real problems are. In the meantime, try to be helpful. Be curious. Ask many questions.”

Computational tools for society’s most complex challenges

10.02.26
Departments & Institutes

3 Questions: What is the best path forward for AI in academia?

10.08.26