360-degree transparency for construction sites made simple
Jeevan Kalanithi SM ’07 is CEO of OpenSpace, a company founded by three Media Lab graduates using computer vision to benefit the construction industry.
Giving robots better moves
MIT alumnus-founded RightHand Robotics has developed picking robots that are more reliable and adaptable in warehouse environments.
Intelligent carpet gives insight into human poses
Tactical sensing carpet estimates 3D human poses without the use of cameras, and could improve health monitoring and smart homes.
Finding the love hormone in a stressed-out world
A new art/science collaboration uses molecular structures as its creative medium.
A unique collaboration with US Special Operations Command
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
Training robots to manipulate soft and deformable objects
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
Slender robotic finger senses buried items
The technology uses tactile sensing to identify objects underground, and might one day help disarm land mines or inspect cables.
A robot that can help you untangle your hair
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
Undergraduates explore practical applications of artificial intelligence
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Toward deep-learning models that can reason about code more like humans
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
An artificial intelligence tool that can help detect melanoma
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
A robot that senses hidden objects
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
Algorithm helps artificial intelligence systems dodge “adversarial” inputs
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Retrofitting MIT’s deep learning “boot camp” for the virtual world
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.