Imaging

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Generative AI improves a wireless vision system that sees through obstructions

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Electronics, Imaging, Machine Learning, Media Lab, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Architecture and Planning, School of Engineering, Sensors, Wireless

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items.Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches. The […]

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AI algorithm enables tracking of vital white matter pathways

ai, AI (Artificial Intelligence), Algorithms, Alzheimer's, Artificial Intelligence, Brain and cognitive sciences, Department of Defense (DoD), Health care, Health sciences and technology, Imaging, Institute for Medical Engineering and Science (IMES), National Institutes of Health (NIH), Neuroscience, Parkinson's, Picower Institute, Research, School of Engineering, School of Science

The signals that drive many of the brain and body’s most essential functions — consciousness, sleep, breathing, heart rate, and motion — course through bundles of “white matter” fibers in the brainstem, but imaging systems so far have been unable to finely resolve these crucial neural cables. That has left researchers and doctors with little

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SMART launches new Wearable Imaging for Transforming Elderly Care research group

3-D printing, Aging, ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Collaboration, Global, Health care, Health sciences and technology, Imaging, International initiatives, Invention, Mechanical engineering, Research, School of Engineering, Singapore-MIT Alliance for Research and Technology (SMART), Wearable sensors

What if ultrasound imaging is no longer confined to hospitals? Patients with chronic conditions, such as hypertension and heart failure, could be monitored continuously in real-time at home or on the move, giving health care practitioners ongoing clinical insights instead of the occasional snapshots — a scan here and a check-up there. This shift from

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SMART launches new Wearable Imaging for Transforming Elderly Care research group

SMART launches new Wearable Imaging for Transforming Elderly Care research group Read More »

A “scientific sandbox” lets researchers explore the evolution of vision systems

Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Computer science and technology, Computer vision, Defense Advanced Research Projects Agency (DARPA), Imaging, Machine Learning, Media Lab, Research, School of Architecture and Planning, School of Science, Sensors

Why did humans evolve the eyes we have today?While scientists can’t go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, a new computational framework developed by MIT researchers allows them to explore this evolution in artificial intelligence agents.The framework they developed, in

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Deep-learning model predicts how fruit flies form, cell by cell

3-D, Animals, Artificial Intelligence, Biology, Cells, Computer vision, Imaging, Machine Learning, Mechanical engineering, National Institutes of Health (NIH), Research, School of Engineering, Self-assembly

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of cells.A team of MIT engineers has now developed a way to predict, minute by minute, how individual cells will fold, divide, and rearrange during a fruit fly’s earliest stage of growth. The new method may one

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Checking the quality of materials just got easier with a new AI tool

Artificial Intelligence, Imaging, Light, Machine Learning, manufacturing, Materials science and engineering, Mechanical engineering, Research, School of Engineering

Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates.But once a material is made, verifying its quality still involves scanning it with

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New AI system could accelerate clinical research

Artificial Intelligence, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Health, Health care, Imaging, Machine Learning, Medicine, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images.For instance, to determine how the size of the brain’s hippocampus changes as patients age, the scientist first outlines each hippocampus in a series of brain

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