Startups led by MIT mechanical engineers offer health care solutions
Companies founded by MechE faculty and alumni solve a variety of health care challenges, from better drug delivery to robotic surgery.
Companies founded by MechE faculty and alumni solve a variety of health care challenges, from better drug delivery to robotic surgery.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
With 75 years of aviation industry-focused research and education under its belt, the lab continues to develop propulsion systems for next-generation aircraft.
Fadel Adib uses wireless technologies to sense the world in new ways, taking aim at sweeping problems such as food insecurity, climate change, and access to health care.
Students, researchers, and actors don AGNES for a taste of the friction, frustration, and fatigue that older adults often experience.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
Over 47 years at MIT, “Leslie made every one of us feel like family,” says NASA astronaut Mike Massimino SM ’88, PhD ’92.
A method for quickly predicting the forces needed to push objects through "flowable media" could help engineers drive robots or anchor ships.
Their technique could allow chip manufacturers to produce next-generation transistors based on materials other than silicon.
The graduate student in biological engineering is the second MIT student-athlete ever to earn Woman of the Year honors.
Over the years, dozens of student products from Class 2.009 (Product Engineering Processes) have inspired startups.
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
New fellows are working on health records, robot control, pandemic preparedness, brain injuries, and more.
Comparing models of working memory with real-world data, MIT researchers find information resides not in persistent neural activity, but in the pattern of its connections.