3 Questions: How AI is helping us monitor and support vulnerable ecosystems
MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.
MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.
The FSNet system, developed at MIT, could help power grid operators rapidly find feasible solutions for optimizing the flow of electricity.
A presidential initiative, the MIT Human Insight Collaborative is supporting new interdisciplinary initiatives and projects across the Institute.
New research shows attention lapses due to sleep deprivation coincide with a flushing of fluid from the brain — a process that normally occurs during sleep.
Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.
The DIGIT imaging tool could enable the design of quantum devices and shed light on atomic-scale processes in cells and tissues.
Researchers find that design elements of data visualizations influence viewers’ assumptions about the source of the information and its trustworthiness.
Titus Roesler was ready to drop his class in signal processing. Now, he hopes to become an expert in the field.
How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future.
The newest MIT engineering faculty are conducting research across a diverse range of subject areas.
The faculty members occupy core computing and shared positions, bringing varied backgrounds and expertise to the MIT community.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
After being trained with this technique, vision-language models can better identify a unique item in a new scene.
Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.
The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.