MIT researchers have developed a new hardware that offers faster computation for artificial intelligence with less energy, reports Kyle Wiggers for TechCrunch. “The researchers’ processor uses ‘protonic programmable resistors’ arranged in an array to ‘learn’ skills” explains Wiggers.
Researchers at MIT have developed a battery that uses aluminum and sulfur, two inexpensive and abundant materials, reports Alex Knapp and Alan Ohnsman for Forbes. “The batteries could be used for a variety of applications,” write Knapp and Ohnsman.
MIT researchers have created a new battery using inexpensive and plentiful materials to store and provide power, reports Tony Ho Tran for The Daily Beast. “The study’s authors believe that the battery can be used to support existing green energy systems such as solar or wind power for times when the sun isn’t shining or the air is still,” writes Tran.
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.
Jamie Earl White BS ’10, MS ’12 speaks with Fast Company reporter Clint Rainey about his startup, Unit of Work, which provides free consulting to workers trying to unionize their workplaces. “Our goal is to get resources to workers in underserved workplaces, but not make them a part of our own union,” says White. “We act more like consultants who help them get where they want to be with unionizing their workplace.”
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 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.
Prof. Ariel Furst, and alumna Claire Beskin and Loewen Cavill were named the winners of the first annual MIT Female Founders Pitch, reports Stephanie MacConnell for Forbes. Furst’s company, Pharmor, has developed an inexpensive protective coating that allows microbes to be produced and transported in non-ideal conditions. Beskin’s company, Empallo, uses machine learning to unlock information on siloed patient data. And Cavill’s company, AuraBlue, has developed a wearable device that can predict hot flashes and enable a cooling pad to counteract the change in body temperature in menopausal women.
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.”