Prof. Fadel Adib speaks with CBC Radio about his lab’s work developing a wireless, battery-free underwater camera that runs on sound waves. "We want to be able to use them to monitor, for example, underwater currents, because these are highly related to what impacts the climate," says Adib. "Or even underwater corals, seeing how they are being impacted by climate change and how potentially intervention to mitigate climate change is helping them recover."
Washington Post reporter Pranshu Verma writes about how Prof. Dina Katabi and her colleagues developed a new AI tool that could be used to help detect early signs of Parkinson’s by analyzing a patient’s breathing patterns. For diseases like Parkinson’s “one of the biggest challenges is that we need to get to [it] very early on, before the damage has mostly happened in the brain,” said Katabi. “So being able to detect Parkinson’s early is essential.”
Forbes contributor Jennifer Kite-Powell spotlights how MIT researchers created a new AI system that analyzes radio waves bouncing off a person while they sleep to monitor breathing patterns and help identify Parkinson’s disease. “The device can also measure how bad the disease has become and could be used to track Parkinson's progression over time,” writes Kite-Powell.
A new tool for diagnosing Parkinson’s disease developed by MIT researchers uses an AI system to monitor a person’s breathing patterns during sleep, reports Hiawatha Bray for The Boston Globe. “The system is capable of detecting the chest movements of a sleeping person, even if they’re under a blanket or lying on their side,” writes Bray. “It uses software to filter out all other extraneous information, until only the breathing data remains. Using it for just one night provides enough data for a diagnosis.”
Boston Globe reporter Hiawatha Bray speaks with Radio Boston host Tiziana Dearing about how MIT researchers developed an artificial intelligence model that uses a person’s breathing patterns to detect Parkinson’s Disease. The researchers “hope to continue doing this for other diseases like Alzheimer’s and potentially other neurological diseases,” says Bray.
Researchers at MIT have developed an artificial intelligence sensor that can track the progression of Parkinson’s disease in patients based on their breathing while they sleep, reports Conor Hale for Fierce Biotech. “The device emits radio waves and captures their reflection to read small changes in its immediate environment,” writes Hale. “It works like a radar, but in this case, the device senses the rise and fall of a person’s chest.”
MIT researchers have developed a new artificial intelligence system that uses a person’s breathing pattern to help detect Parkinson’s sisease, reports Susannah Sudborough for Boston.com. “The device emits radio signals, analyzes reflections off the surrounding environment, and monitors the person’s breathing patterns without any bodily contact,” writes Sudborough.
Researchers at MIT and other institutions have developed an artificial intelligence tool that can analyze changes in nighttime breathing to detect and track the progression of Parkinson’s disease, reports Casey Ross for STAT. “The AI was able to accurately flag Parkinson’s using one night of breathing data collected from a belt worn around the abdomen or from a passive monitoring system that tracks breathing using a low-power radio signal,” writes Ross.
Fast Company reporter Elissaveta Brandon writes that a team of scientists from MIT and elsewhere have developed an amphibious artificial vision system inspired by the fiddler crab’s compound eye, which has an almost 360-degree field of view and can see on both land and water. “When translated into a machine,” writes Brandon, “this could mean more versatile cameras for self-driving cars and drones, both of which can become untrustworthy in the rain.”
Prof. Yoel Fink speaks with Washington Post reporter Pranshu Verma about the growing field of smart textiles and his work creating fabrics embedded with computational power. Fink and his colleagues “have created fibers with hundreds of silicon microchips to transmit digital signals — essential if clothes are to automatically track things like heart rate or foot swelling. These fibers are small enough to pass through a needle that can be sown into fabric and washed at least 10 times.”
Butlr, spinout founded by researchers from the MIT Media Lab, is developing sensors that utilize body heat to estimate office occupancy, reports Kyle Wiggers for TechCrunch. The new technology “uses thermal sensing AI to provide data on space occupancy and historical activity,” writes Wiggers.
Researchers at MIT have created a knit textile containing pressure sensors called 3DKnITS which can be used to predict a person’s movements, reports Charlotte Hu for Popular Science. “Smart textiles that can sense how users are moving could be useful in healthcare, for example, for monitoring gait or movement after an injury,” writes Hu.
Prof. Pattie Maes, and graduate students Valdemar Danry, Joanne Leong and Pat Pataranutaporn speak with Forbes reporter Stephen Ibaraki about their work in the MIT Media Lab Fluid Interfaces research group. “Their highly interdisciplinary work covering decades of MIT Lab pioneering inventions integrates human computer interaction (HCI), sensor technologies, AI / machine learning, nano-tech, brain computer interfaces, design and HCI, psychology, neuroscience and much more,” writes Ibaraki.
Popular Science reporter Charlotte Hu writes that MIT researchers have developed an “electronics chip design that allows for sensors and processors to be easily swapped out or added on, like bricks of LEGO.” Hu writes that “a reconfigurable, modular chip like this could be useful for upgrading smartphones, computers, or other devices without producing as much waste.”
MIT engineers have developed a wireless, reconfigurable chip that could easily be snapped onto existing devices like a LEGO brick, reports Miriam Fauzia for The Daily Beast. “Having the flexibility to customize and upgrade an old device is a modder’s dream,” writes Fauzia, “but the chip may also help reduce electronic waste, which is estimated at 50 million tons a year worldwide.”