Topic
Artificial intelligence
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Visualizing an AI model’s blind spots
New tool highlights what generative models leave out when reconstructing a scene.
November 8, 2019 -
Driving toward a healthier planet
Materials Day speaker Brian Storey describes how the Toyota Research Institute is embracing machine learning to advance the use of electric vehicles.
November 7, 2019 -
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.
November 5, 2019 -
3 Questions: When the student becomes the teacher
Grad student Brandon Leshchinskiy created EarthDNA Ambassadors, an outreach program “for the Earth, for future generations.”
November 5, 2019 -
Autonomous system improves environmental sampling at sea
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
November 4, 2019 -
Better autonomous “reasoning” at tricky intersections
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
November 4, 2019 -
What makes an image memorable? Ask a computer
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
November 1, 2019 -
Self-transforming robot blocks jump, spin, flip, and identify each other
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
October 30, 2019 -
Helping autonomous vehicles see around corners
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
October 27, 2019 -
Supercomputer analyzes web traffic across entire internet
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.
October 27, 2019 -
Computer science in service of medicine
Senior Kristy Carpenter aims to leverage artificial intelligence and other computational tools to develop new, more affordable drugs.
October 18, 2019 -
Better fact-checking for fake news
New research reveals biases in fake news datasets and improves the use of automatic detectors.
October 17, 2019 -
Faster video recognition for the smartphone era
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
October 11, 2019 -
Robots help patients manage chronic illness at home
Move over, Alexa and Siri. Talking Mabu robot provides one-to-one support while relaying information to doctors.
October 10, 2019 -
Using machine learning to hunt down cybercriminals
Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.
October 8, 2019 -
A new mathematical approach to understanding zeolites
Study of minerals widely used in industrial processes could lead to discovery of new materials for catalysis and filtering.
October 7, 2019 -
3 Questions: How artificial intelligence is supercharging materials science
Associate Professor Juejun Hu shines a light on the impact machine learning and AI are having on materials science and engineering.
October 3, 2019 -
MIT.nano awards inaugural NCSOFT seed grants for gaming technologies
Five software and hardware projects will launch the MIT.nano Immersion Lab Gaming Program.
September 30, 2019 -
Lincoln Laboratory's new artificial intelligence supercomputer is the most powerful at a university
TX-GAIA is tailor-made for crunching through deep neural network operations.
September 27, 2019 -
Computing and artificial intelligence: Humanistic perspectives from MIT
How the humanities, arts, and social science fields can help shape the MIT Schwarzman College of Computing — and benefit from advanced computing.
September 24, 2019