Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.
Working group studies options for creating a new set of faculty hires for MIT’s new college.
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
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.