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.
Teaching language models grammar really does make them smarter
Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.
Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
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.
3 Questions: Faculty appointments and the MIT Schwarzman College of Computing
Working group studies options for creating a new set of faculty hires for MIT’s new college.
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.
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.
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.
Painting a fuller picture of how antibiotics act
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
Gil Strang is still going strong, online and in print
After nearly 60 years of teaching at MIT, this math professor surpasses 10 million views on OCW, earns top reviews for his teaching style, and publishes his 12th book.
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.
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.