Q&A: Phillip Isola on the art and science of generative models
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Search Stories
Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
MIT students organize FAIL! ― an initiative to destigmatize failure and build resilience
FAIL! brings together prominent scholars to share the challenges and missteps that led them to where they are today.
3 Questions: The social implications and responsibilities of computing
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.
Developing artificial intelligence tools for all
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
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.