Smithsonian reporter Randy Rieland writes that MIT researchers have developed a machine learning model that can detect speech and language patterns associated with depression. The researchers note that the system is intended to assist, not replace clinicians. “We’re hopeful we can provide a complementary form of analysis,” explains Senior Research Scientist James Glass.
Boston Globe reporter Katie Johnston speaks with several MIT researchers about their work developing technology that is aimed at improving collaboration between humans and robots. Prof. Julie Shah notes that offloading easier decisions onto a machine “would allow people to focus on the parts of job that truly require human judgment and experience.”
Boston Herald reporter Jordan Graham writes that MIT researchers have developed an autonomous system that allows fleets of drones to navigate without GPS and could be used to help find missing hikers. “What we’re trying to do is automate the search part of the search-and-rescue problem with a fleet of drones,” explains graduate student Yulun Tian.
Science reporter Tania Rabesandratana examines how MIT researchers are gathering and identifying gut bacteria from people around the world. The effort is aimed at preserving the human gut’s microbial biodiversity and developing new treatments for diseases. “I'm 100% confident that there are relevant medical applications for hundreds of strains we've screened and characterized,” explains Prof. Eric Alm.
Motherboard reporter Daniel Oberhaus writes that MIT researchers have developed an AI system that can generate theories about the physical laws of imaginary universes. Oberhaus writes that in the future the system could be used to help understand “massively complex datasets, such as those used in climate modeling or economics.”
Katharine Schwab of Fast Company writes about the Media Lab’s Moral Machine project, which surveyed people about their feelings on the ethical dilemmas posed by driverless vehicles. Because the results vary based on region and economic inequality, the researchers believe “self-driving car makers and politicians will need to take all of these variations into account when formulating decision-making systems and building regulations,” Schwab notes.
Technology developed by researchers from MIT Lincoln Lab could be used to help detect public shooters before they fire, writes Elizabeth MacBride for Forbes. “The technology uses radar energy to detect weapons and explosives through clothing, backpacks and hand baggage in real time,” MacBride explains.
MIT researchers have developed a language translation model that operates without human annotations and guidance, reports Liangyu for Xinhua news agency. The system, which may enable computer-based translations of the thousands of languages spoken worldwide, is “a step toward one of the major goals of machine translation, which is fully unsupervised word alignment,” Liangyu explains.
Graduate students Ziv Epstein and Matt Groh have developed an AI system that adds spooky figures to photos, reports Mark Wilson for Fast Company. Wilson writes that the system “works so well because it places ghostly figures exactly where your brain naturally thinks they could be–on a path in the middle of a forest, rather than, say, floating randomly through the air.”
An MIT AgeLab survey finds that many Americans have unrealistic expectations for retirement, writes Richard Eisenberg for Forbes. Research scientist Chaiwoo Lee suggests that financial advisers use the survey results to “create messages and images and materials for potential clients and provide clients with a better education about life after career.”
BBC News highlights how Media Lab researchers have built a software program that allows web users to suggest actions for a hired actor to perform. Researchers are “keen to see whether internet users can work together to issue a consistent series of commands to the actor that help complete the game, or whether the commands will be discordant.”
MIT researchers have developed a new technique to store information using lasers, reports Meriame Berboucha for Forbes. “By using pulses of light, a material can be flipped from one state to another and return to its original state,” Berboucha explains. “As a result, a wave of new-generation data storage devices could be in our homes and workplaces very soon.”
Prof. Dean Eckles speaks with Marketplace reporter Sabri Ben-Achour about the significance of engagement among existing users on social media platforms like Snapchat and Facebook. “Are people sharing things their friends are going to want to see?” says Eckles. “How many users on Snap are actually sending new snaps?”
Lucas Laursen writes for Fortune that a global survey created by MIT researchers uncovered different regional attitudes about how autonomous vehicles should handle unavoidable collisions. Global carmakers, Laursen writes, “will need to use the findings at the very least to adapt how they sell their increasingly autonomous cars, if not how the cars actually operate.”
MIT researchers created an online game to determine how people around the world think autonomous vehicles should handle moral dilemmas, reports Laurel Wamsley for NPR. “Before we allow our cars to make ethical decisions, we need to have a global conversation to express our preferences to the companies that will design moral algorithms,” the researchers explain, “and to the policymakers that will regulate them.”