Research

MIT researchers will be conducting a series of experiments with implications for online social networks at the Burning Man festival this upcoming weekend, reports Jennifer A. Kingson for Axios.

NBC News reporter Kimmy Yam notes that months after having all charges he faced under the “China Initiative” dismissed, Prof. Gang Chen and his colleagues have discovered a new material that can perform better than silicon. "The discovery could have far-reaching effects, as silicon is currently among the most widely used semiconductors, making up the foundation of modern technology from computer chips to smartphones," writes Yam. 

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 discovered that pictures of food appear to stimulate strong reactions among specific sets of neurons in the human brain, a trait that could have evolved due to the importance of food for humans, reports Sascha Pare for The Guardian. “The researchers posit these neurons have gone undetected because they are spread across the other specialized cluster for faces, places, bodies and words, rather than concentrated in one region,” writes Pare.

Prof. Sara Seager and her team have organized three  missions to Venus to search for signs of life in the clouds surrounding the planet, reports David Axe for the Daily Beast. Each mission “would fling a probe into the toxic planet’s acidic atmosphere and collect data on the presence, or absence, of something resembling life,” explains Axe.

Prof. Donald Sadoway and his colleagues have developed a battery that can charge to full capacity in less than one minute, store energy at similar densities to lithium-ion batteries and isn’t prone to catching on fire, reports Alex Wilkins for New Scientist. “Although the battery operates at the comparatively high temperature of 110°C (230°F),” writes Wilkins, “it is resistant to fire because it uses an inorganic salt that can’t burn as its electrolyte, the material that allows charge to flow inside a battery.” Sadoway explains that “this is a totally new battery chemistry."

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’s Senseable City Lab have found that academics missed out on forming new connections during Covid-19 lockdowns, hindering academic collaboration, reports Tom Williams for Times Higher Education. “Colleagues associated more with previous collaborators, which could create closed loops of communication, rather than with new potential collaborators, which enables the critical exchange that stimulates research and innovation,” says postdoctoral researcher Daniel Carmody.

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.

Loh Down on Science host Sandra Tsing Loh spotlights Prof. Cathy Wu and graduate student Vindula Jayawardana and their work developing a new method for self-driving vehicles that would help minimize idling at red lights. “In their method, self-driving can be taught to minimize stops at red lights. To make this work, traffic lights and self-driving cars would have sensors. This would let them check in with each other on their surroundings,” says Loh.

MIT scientists have discovered a new method to maximize wind farm output, reports Gwen Egan for Boston.com. “While there are pros and cons to this strategy, it’s possible that it could allow for smaller wind farms that take up less land to produce more energy,” says Prof. Michael Howland. “It’s critically important we do this now, as we embark on building much more offshore wind. We need to ensure that our future wind farms maximize efficiency to increase the pace of decarbonization.”

Researchers from MIT, Harvard University, and the Georgia Institute of Technology have examined the impact of tech startups working in close proximity, reports Cheryl Winokur Munk for The Wall Street Journal. The researchers found that “'knowledge spillovers' were greatest between dissimilar startups that worked within 20 meters (22 yards) of each other,” writes Munk. “Working in such close range allowed for socialization, which in turn led to idea sharing about the types of technology the startups were using as part of their overall tech infrastructure.”