Identifying artificial intelligence “blind spots”
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Design reduces by 99 percent the data users need to join the network and verify transactions.
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.
System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.
Method could illuminate features of biological tissues in low-exposure images.
Technologies ranging from a hurricane-evacuation decision platform to algorithms that compare DNA samples honored as some of the world's best inventions of 2018.
Senior Jessy Lin, a double major in EECS and philosophy, is programming for social good.
Simple, scalable wireless system uses the RFID tags on billions of products to sense contamination.
The School of Engineering’s faculty leadership weigh in on what the MIT Stephen A. Schwarzman College of Computing will mean for their students and faculty.
Researchers find most fantasy sports are based on skill, not luck.
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Opportunities and new challenges were at the forefront of discussions about the MIT Stephen A. Schwarzman College of Computing.
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Machine-learning model provides risk assessment for complex nonlinear systems, including boats and offshore platforms.