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.”
Fast Company reporter Amelia Hemphill spotlights the work of Alicia Chong Rodriguez SM ’17, SM ’18, and her startup Bloomer Tech, which is “dedicated to transforming women’s underwear into a healthcare device.” “Our big goal is to generate digital biomarkers,” says Chong Rodriguez. “Digital biomarkers work more like a video, so it will definitely allow a more personalized care from the physician to their patient.”
MIT researchers have constructed a mini city to test to safely test algorithms designed for autonomous vehicles, reports Mashable. “The idea of the mini city is that we have lots of cars going at the same time and we can actually test out new algorithms in a safe environment,” says graduate student Noam Buckman.
An ingestible, pill-shaped sensor module, which can pinpoint its location as it moves through the body, has been developed by researchers at MIT and Caltech, reports Andrew Paul for Popular Science. This method “could one day offer an effective means to assess issues like constipation, gastroesophageal reflux disease, and gastroparesis,” writes Paul.
Researchers from MIT and Caltech have developed a pill-shaped ingestible sensor that can be monitored as it moves through the GI tract, allowing doctors to more easily diagnose gastrointestinal disorders, reports Brian Heater for TechCrunch. “The ability to characterize motility without the need for radiation, or more invasive placement of devices, I think will lower the barrier for people to be evaluated,” says Prof. Giovanni Traverso.
Researchers at MIT have developed an autonomous vehicle with “mini sensors to allow it to see the world and also with an artificially intelligent computer brain that can allow it to drive,” explains postdoctoral associate Alexander Amini in an interview with Mashable. “Our autonomous vehicles are able to learn directly from humans how to drive a car so they can be deployed and interact in brand new environments that they’ve never seen before,” Amini notes.
An MIT study has found that the wide spread adoption of self-driving cars could lead to increased carbon emissions, reports Rima Sabina Aouf for Dezeen. “The study found that with a mass global take up of autonomous vehicles, the powerful onboard computers needed to run them could generate as many greenhouse gas emissions as all the data centers in operation today,” writes Aouf.
A new study by MIT researchers finds that “the energy required to run computers in a future global fleet of autonomous vehicles could produce as much greenhouse gas emissions as all the data centers in the world,” reports Sharon Udasin for The Hill. The researchers found that “1 billion such cars, each driving for an hour daily, would use enough energy to generate the same amount of emissions that data centers do today.”
Politico reporter Derek Robertson writes that a new study by MIT researchers finds the computing power required to replace the world’s auto fleet with AVs would produce about the same amount of greenhouse gas emissions as all the data centers currently operating. Robertson writes that the researchers view the experiment “as an important step in getting auto- and policymakers to pay closer attention to the unexpected ways in which the carbon footprint for new tech can increase.”
Graduate student Soumya Sudhakar speaks with BBC Digital Planet host Gareth Mitchell about her new study showing that hardware efficiency for self-driving cars will need to advance rapidly to avoid generating as many greenhouse gas emissions as all the data centers in the world.
Using statistical modeling, MIT researchers have found that the energy needed to power a fleet of fully autonomous EVs could generate as much carbon emissions as all the world’s data centers combined, reports Andrew Paul for Popular Science.
Washington Post reporter Pranshu Verma writes that a new study by MIT researchers finds the “future energy required to run just the computers on a global fleet of autonomous vehicles could generate as much greenhouse gas emissions as all the data centers in the world today.”
Wired reporter Matt Simon spotlights a study by researchers from MIT and other institutions that finds smartphones in cars could be used to track the structural integrity of bridges. The findings “could pave the way (sorry) for a future in which thousands of phones going back and forth across a bridge could collectively measure the span’s health, alerting inspectors to problems before they’re visible to the human eye,” writes Simon.
Forbes reporter Marija Butkovic spotlights Alicia Chong Rodriguez MS ’18, Founder and CEO of Bloomer Tech, for her work in building a cardiovascular disease and stroke database that can generate non-invasive digital biomarkers. “We envision a world where the future of AI in healthcare performs the best it can in women,” says Chong Rodriguez. “We also have created a digital biomarker pipeline where our digital biomarkers can explain, influence, and even improve health outcomes for women.”