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.
New program will focus on rapid deployment of artificial intelligence innovations in operations, disaster response, and medical readiness.
Through computing, senior and Marshall Scholar Anna Sappington seeks answers to biological questions.
Through MIT App Inventor, Abelson aims to show children how they can use technology to shape their world.
New dual-cavity design emits more single photons that can carry quantum information at room temperature.
New method quickly detects instances when neural networks make mistakes they shouldn’t.
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.
In planning for the MIT Schwarzman College of Computing, working group is exploring needs across all parts of the Institute.
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Working group discussions focus on how to design the MIT Schwarzman College of Computing to best serve the community and society.
MIT researchers joined Cambridge Rindge and Latin School students for a two-day event focused on future-ready skills.
Working Group on Curricula and Degrees co-chairs discuss their progress toward establishing credentials and courses for the college.