Developing artificial intelligence tools for all
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
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Bringing human-like reasoning to driverless car navigation
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
This robot helps you lift objects — by looking at your biceps
CSAIL system can mirror a user's motions and follow nonverbal commands by monitoring arm muscles.
MIT Policy Hackathon connects data-driven problem solvers
Interdisciplinary teams propose creative policy solutions addressing societal challenges at the Institute for Data, Systems, and Society student-organized event.
MIT and U.S. Air Force sign agreement to launch AI Accelerator
New program will focus on rapid deployment of artificial intelligence innovations in operations, disaster response, and medical readiness.
Manipulating atoms one at a time with an electron beam
New method could be useful for building quantum sensors and computers.
Virtual reality game simulates experiences with race
A novel computational model that considers how users have been conditioned to think about race might facilitate training for teachers and students.
MIT and KTH will collaborate on urban planning and development in Stockholm
Project will use new ways of collecting and analyzing data to make Stockholm more livable and sustainable.
Artificial intelligence shines light on the dark web
New tools can find patterns in vast online data to track and identify users on illicit forums.
How to tell whether machine-learning systems are robust enough for the real world
New method quickly detects instances when neural networks make mistakes they shouldn’t.
Wireless movement-tracking system could collect health and behavioral data
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
Using AI to predict breast cancer and personalize care
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Smarter training of neural networks
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Knight Science Journalism Program at MIT announces 2019-20 fellowship class
Ten top journalists from seven countries will spend an academic year studying at MIT.
Merging cell datasets, panorama style
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.