Topic
Computer science and technology
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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 -
Autonomous system improves environmental sampling at sea
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
November 4, 2019 -
Student gets a kick out of French internship
Math and computer science major tweaks soccer accelerometer’s algorithms and expands his worldview via MIT-France.
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 -
Drawn to open-ended problems
Whether racing cross country or teaching coding in rural schools, senior Billy Woltz relishes experimentation and creative thinking.
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 -
Nature can help solve optimization problems
A low-cost analog circuit based on synchronizing oscillators could scale up quickly and cheaply to beat out digital computers.
October 28, 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 -
System prevents speedy drones from crashing in unfamiliar areas
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
October 25, 2019 -
Pushy robots learn the fundamentals of object manipulation
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
October 21, 2019 -
Deep learning with point clouds
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
October 21, 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 -
Alan Edelman recognized with 2019 IEEE Computer Society Sidney Fernbach Award
Edelman's Julia programming language was recognized for solving large computational problems for high-performance computers.
October 17, 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 -
Recovering “lost dimensions” of images and video
Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.
October 16, 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 -
Learning about China by learning its language
MIT senior's longstanding passion for Mandarin leads to a hands-on taste of the complexities of functioning in a Chinese business context.
October 11, 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