Popular Science reporter Andrew Paul writes that MIT researchers have developed a new long-range, low-power underwater communication system. Installing underwater communication networks “could help continuously measure a variety of oceanic datasets such as pressure, CO2, and temperature to refine climate change modeling,” writes Paul, “as well as analyze the efficacy of certain carbon capture technologies.”
Boston Globe reporter Hiawatha Bray spotlights WiTricity, an MIT spinoff that designs wireless charging systems. “WiTricity uses magnetic fields rather than cables to give batteries a boost,” explains Bray.
Prof. Daniela Rus, director of CSAIL, writes for Forbes about Prof. Dina Katabi’s work using insights from wireless systems to help glean information about patient health. “Incorporating continuous time data collection in healthcare using ambient WiFi detectable by machine learning promises an era where early and accurate diagnosis becomes the norm rather than the exception,” writes Rus.
In an article for Forbes, research affiliate John Werner spotlights Prof. Dina Katabi and her work showcasing how AI can boost the capabilities of clinical data. “We are going to collect data, clinical data from patients continuously in their homes, track the symptoms, the evolution of those symptoms, and process this data with machine learning so that we can get insights before problems occur,” says Katabi.
MIT researchers have created a new headset, called X-AR, that can help users find hidden or lost items by sending a wireless signal to any item that has a designated tag on it, reports WHDH. The augmented reality headset “allows them to see things that are otherwise not visible to the human eye,” explains Prof. Fadel Adib. “It visualizes items for people and then it guides them towards items.”
Boston.com reporter Ross Cristantiello writes that MIT researchers have developed a new augmented reality headset that combines computer vision and wireless perception to allow users to track and find objects hidden from view. “The system relies on radio frequency signals that can pass through everyday materials like cardboard, plastic, and wood,” Cristantiello explains.
Prof. Hari Balakrishnan has been selected as the recipient of the Marconi Prize for “fundamental discoveries in wired and wireless networking, mobile sensing, and distributed systems,” reports the Press Trust of India. “The Marconi Prize is awarded annually by The Marconi Society to innovators who have significantly contributed to increasing digital inclusivity through advanced information and communications technology.”
MIT engineers have developed an augmented reality headset that uses RFID technology to allow wearers to find objects, reports Tony Ho Tran for The Daily Beast. “The device is intended to assist workers in places like e-commerce warehouses and retail stores to quickly find and identify objects,” writes Tran. “It can also help technicians find tools and items they need to assemble products.”
An augmented reality headset developed by MIT engineers, called X-AR, uses RFID technology to help users find hidden objects, reports Andrew Paul for Popular Science. “X-AR’s creators were able to guide users with nearly 99 percent accuracy to items scattered throughout a warehouse testing environment,” writes Paul. “When those products were hidden within boxes, the X-AR still even boasted an almost 92 percent accuracy rate.”
MIT scientists have developed a miniature antenna that could one day be used to help safely transmit data from within living cells “by resonating with acoustic rather than electromagnetic waves,” reports Andrew Chapman for Scientific American. “A functioning antenna could help scientists power, and communicate with, tiny roving sensors within the cell,” writes Chapman, “helping them better understand these building blocks and perhaps leading to new medical treatments.”
Researchers at MIT are working on a system that can track the development of Parkinson’s disease by monitoring a person’s gait speed, reports Kyle Wiggers and Devin Coldewey for TechCrunch. “The MIT Parkinson’s-tracking effort aims to help clinicians overcome challenges in treating the estimated 10 million people afflicted by the disease globally,” writes Wiggers and Coldewey.
MIT researchers have developed a new in-home device that can help monitor Parkinson’s patients by tracking their gait, reports Hiawatha Bray for The Boston Globe. “We know very little about the brain and its diseases,” says Professor Dina Katabi. “My goal is to develop non-invasive tools that provide new insights about the functioning of the brain and its diseases.”
Popular Science reporter Philip Kiefer writes that MIT researchers have developed an in-home device that could be used to track the progression of symptoms in Parkinson’s patients. “We can’t really ask patients to come to the clinic every day or every week,” explains graduate student Yingcheng Liu. “This technology gives us the possibility to continuously monitor patients, and provide more objective assessments.”
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.