Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic
With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.
With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.
The chemical engineer is honored for her work designing polymers and nanomaterials with wide-ranging applications in medicine and energy.
Fifteen principal investigators from across MIT will conduct early work to solve issues ranging from water contamination to aquaculture monitoring and management.
A leader in manufacturing science and technology, Hart SM ’02, PhD ’06 will become department head effective July 1.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.
The bioderived “smart sutures” could help patients heal after bowel resection or other types of surgery.
Over 300 social impact leaders from around the world convened on MIT’s campus to discuss global challenges and how to solve them together.
The Fulbright US Student Program funds opportunities for research, graduate study, and teaching abroad.
A cancer vaccine combining checkpoint blockade therapy and a STING-activating drug eliminates tumors and prevents recurrence in mice.
The illustrious prize supports early-career scientists and engineers as they pursue interdisciplinary work.
A perovskite-based device that combines aspects of electronics and photonics may open doors to new kinds of computer chips or quantum qubits.
Joshua Angrist, Gang Chen, Catherine Drennan, Dina Katabi, Gregory Stephanopoulos, and seven additional alumni are recognized by their peers for their outstanding contributions to research.
The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.
Daniel Braunstein, director of the Pappalardo Undergraduate Teaching Laboratories, found his calling at MIT's hands-on mechanical engineering space.