Bringing human-like reasoning to driverless car navigation
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
Interdisciplinary teams propose creative policy solutions addressing societal challenges at the Institute for Data, Systems, and Society student-organized event.
New program will focus on rapid deployment of artificial intelligence innovations in operations, disaster response, and medical readiness.
New tools can find patterns in vast online data to track and identify users on illicit forums.
New method quickly detects instances when neural networks make mistakes they shouldn’t.
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
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.
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.
Projects will develop new AI technologies that detect and prevent diseases.
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.