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.
Topic
Electrical engineering and computer science (EECS)
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Better autonomous “reasoning” at tricky intersections
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
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.
Drawn to open-ended problems
Whether racing cross country or teaching coding in rural schools, senior Billy Woltz relishes experimentation and creative thinking.
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.
Helping autonomous vehicles see around corners
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
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.
Fireside chat with Don Eigler wraps up MIT.nano “Perspectives in Nanotechnology” seminars
Series featured five experts who played seminal roles in understanding the nanoscale.
Deep learning with point clouds
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Two from MIT elected to the National Academy of Medicine for 2019
Sangeeta Bhatia and Richard Young recognized for their contributions to “advancement of the medical sciences, health care, and public health.”
Computer science in service of medicine
Senior Kristy Carpenter aims to leverage artificial intelligence and other computational tools to develop new, more affordable drugs.
Open access task force releases final recommendations
Report urges MIT community to openly share the products of its research and teaching.
Better fact-checking for fake news
New research reveals biases in fake news datasets and improves the use of automatic detectors.
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.
Faster video recognition for the smartphone era
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.