MIT researchers have developed a new system that allows data to be transmitted between underwater and airborne devices, according to the BBC News. The system could enable submarines to communicate with planes, and in the future the device could “help planes or drones detect the location of a submerged ‘black box’ flight recorder.”
Gizmodo reporter Ryan Mandelbaum writes that by studying ancient quasars, MIT scientists have uncovered evidence supporting quantum entanglement, the concept that two particles can become linked despite their distance in space and time. “We’ve outsourced randomness to the furthest quarters of the universe, tens of billions of light years away,” says Prof. David Kaiser.
Popular Mechanics reporter Avery Thompson describes a new method developed by MIT researchers to send signals between the water and the air by using sound waves to create detectable vibrations at the water’s surface. Thompson explains that the new technology could eventually make “exploring and living under the waves much easier.”
Engadget reporter Jon Fingas writes that MIT researchers have developed a new wireless device that allows data to be transmitted from an underwater source to the air. Fingas explains that the system could allow submarines to “send their findings directly to aircraft (including drones) circling above while remaining safely underwater, and without using boats as intermediaries.”
Space.com reporter Chelsea Gohd writes that MIT researchers have used the light emitted by two ancient quasars to provide evidence of quantum entanglement, the theory that two particles can become linked across space and time. The researchers used ancient quasars to see if, “the correlation between particles can be explained by classical mechanics stemming from earlier than 600 years ago.”
Writing for Motherboard, Daniel Oberhaus highlights how MIT researchers have used light emitted by quasars billions of years ago to confirm the existence of quantum entanglement. Oberhaus explains that the findings suggest entanglement occurs “because if it didn’t exist the universe would somehow have to have ‘known’ 7.8 billion years ago that these MIT scientists would perform these experiments in 2018.”
MIT researchers have discovered hundreds of galaxies that were hidden by light being emitted from a supermassive black hole, reports Kasandra Brabaw for Space.com. “The black hole, a type known as a quasar, sits 2.4 billion light-years from Earth and is so bright that astronomers have assumed it was alone in its area of space for decades,” Brabaw explains.
Wired reporter Jack Stewart explores the technology behind Boston-based startup WaveSense, which applies ground-penetrating radar developed at MIT’s Lincoln Laboratory to give self-driving cars a way to map where they are without relying on visual clues or GPS. The technology, writes Stewart, was “first deployed in 2013 to help troops navigate in Afghanistan, where staying on path and avoiding landmines is a matter of life and death.”
Quartz reporter Madis Kabash highlights how Media Lab researchers are developing a device, dubbed Mnemo, that automatically records and retrieves a person’s memories. The project team aims to “build a memory bank big enough to help people with memory loss,” explains Kabash.
FOX News reporter James Rogers writes that MIT researchers have detected a new galaxy cluster that had been obscured by the bright light emitted from a supermassive black hole. “Located just 2.4 billion light-years from Earth, the cluster consists of hundreds of individual galaxies,” Rogers explains.
Media Lab researchers have developed a desk that transforms based on the user’s mood, reports Madis Kabash for Quartz. Kabash explains that the desk collects, “over 30 biological signals including heart-rate, facial-expressions, and posture,” and then adjusts lighting, changes images on a screen and plays different sounds on a speaker to help the user destress.
Engadget reporter Jon Fingas writes that MIT researchers have developed an encryption method that can secure sensitive data in neural networks without slowing machine learning systems. The method, notes Fingas, could “lead to more uses of internet-based neural networks for handling vital info, rather than forcing companies and institutions to either build expensive local equivalents or forget AI-based systems altogether.”
Graduate student Vishal Patil speaks with NPR’s Rebecca Hersher about his work determining how to snap dry spaghetti in two. Patil found that, “when you twist it, you don't have to bend it as much before it breaks. When there's less bending in it, the snap-back — as the spaghetti tries to become a straight rod again — is weakened, so that no more fractures can occur.”
Prof. Charles Stewart III writes for The Washington Post about a new report from the MIT-run Elections Performance Index (EPI) showing that election administration improved from 2012 to 2016. “The latest EPI shows that we can use objective metrics to chart any policy change aimed at improving voting, and that it’s not as difficult as we thought,” explains Stewart.
Using mathematical modeling, a mechanical fracture device and a camera, MIT researchers found that dry spaghetti can be split into two pieces, reports Allyson Chiu for The Washington Post. The findings could be applied to studying fracturing, explains graduate student Vishal Patil, who notes that, “there’s still a lot to be discovered about fracture control, and this is an example of fracture control.”