Passion projects prepare to launch
MITdesignX presents ventures from the accelerator's sixth cohort.
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3 Questions: Amar Gupta on an integrated approach to enhanced health-care delivery
The MIT researcher and former professor discusses how Covid-19 and the influx of virtual technologies created a new medical ecosystem that needs more synchronized oversight.
Why it’s a problem that pulse oximeters don’t work as well on patients of color
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
Using artificial intelligence to control digital manufacturing
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
MIT engineers develop stickers that can see inside the body
New stamp-sized ultrasound adhesives produce clear images of heart, lungs, and other internal organs.
New hardware offers faster computation for artificial intelligence, with much less energy
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
3 Questions: John Durant on the new MIT Museum at Kendall Square
The MIT Museum director describes how the museum is reinventing itself for the 21st century.
A global resource for better transportation systems
The MIT Mobility Initiative welcomes five inaugural industry members to advance safe, clean, and inclusive mobility.
A technique to improve both fairness and accuracy in artificial intelligence
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
Teaching AI to ask clinical questions
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
Summer 2022 recommended reading from MIT
Enjoy these recent titles from Institute faculty and staff.
Remembering Octavian-Eugen Ganea, a gifted MIT postdoc AI researcher and beloved colleague
The brilliant scientist was known for both the depth of his intellect and his kindness.
Building explainability into the components of machine-learning models
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Exploring emerging topics in artificial intelligence policy
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
Three MIT faculty members named 2022 Simons Investigators
Tracy Slatyer, Jesse Thaler, and Wei Zhang are honored for their research, leadership, and mentorship.