Visualizing an AI model’s blind spots
New tool highlights what generative models leave out when reconstructing a scene.
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New tool highlights what generative models leave out when reconstructing a scene.
Cornell University’s Paul McEuen will inaugurate series to honor beloved MIT professor.
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
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.
Whether racing cross country or teaching coding in rural schools, senior Billy Woltz relishes experimentation and creative thinking.
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
Series featured five experts who played seminal roles in understanding the nanoscale.
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Sangeeta Bhatia and Richard Young recognized for their contributions to “advancement of the medical sciences, health care, and public health.”
Senior Kristy Carpenter aims to leverage artificial intelligence and other computational tools to develop new, more affordable drugs.
Report urges MIT community to openly share the products of its research and teaching.
New research reveals biases in fake news datasets and improves the use of automatic detectors.