Augmented reality headset enables users to see hidden objects
The device could help workers locate objects for fulfilling e-commerce orders or identify parts for assembling products.
The device could help workers locate objects for fulfilling e-commerce orders or identify parts for assembling products.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.
This machine-learning system can simulate how a listener would hear a sound from any point in a room.
Graduate students create on-campus assembly factory for fiber extrusion devices.
An interdisciplinary team is developing a mobile health platform that uses AI to detect infection in Cesarean section wounds.
The MIT Schwarzman College of Computing welcomes four new faculty members engaged in research and teaching that address climate risks and other environmental issues.
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.