Materials Day talks examine the promises and challenges of AI and machine learning
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
Grad student Brandon Leshchinskiy created EarthDNA Ambassadors, an outreach program “for the Earth, for future generations.”
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Senior Kristy Carpenter aims to leverage artificial intelligence and other computational tools to develop new, more affordable drugs.
New research reveals biases in fake news datasets and improves the use of automatic detectors.