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.”
BBC News reporter Chris Fox writes that MIT researchers surveyed people about how an autonomous vehicle should operate when presented with different ethical dilemmas. Fox explains that the researchers hope their findings will “spark a ‘global conversation’ about the moral decisions self-driving vehicles will have to make.”
Tom Loftus of The Wall Street Journal highlights a study co-authored by MIT Prof. Maryam Farboodi that finds big data plays an important role in raising capital from investors and could contribute to the growing divide between large and small companies.
MIT researchers conducted a global survey to determine how people felt about the ethical dilemmas presented by autonomous vehicles, The Economist reports. Prof. Iyad Rahwan explains that he and his colleagues thought it was important to survey people from around the world as “nobody was really investigating what regular people thought about this topic.”
Popular Mechanics reporter Dave Grossman writes that MIT researchers surveyed more than 2 million people to gauge people’s opinions on the ethics of autonomous vehicles. Grossman explains that the researchers believe their findings demonstrate how “people across the globe are eager to participate in the debate around self-driving cars and want to see algorithms that reflect their personal beliefs.”
Researchers from MIT are using the brittle nature of graphene to mass produce cell-sized robots, writes David Grossman of Popular Mechanics. Called “syncells” or synthetic cells, the researchers hope they can be used in biomedical testing. “Inject hundreds into the bloodstreams and let the data fly back into sensors,” explains Grossman.
MIT researchers have made electrical recordings of individual brain cells, which may provide insight into human intelligence, reports Hannah Osborne of Newsweek. Researchers discovered that human cells have fewer ion channels, which allow electrical currents to enter and exit cells, potentially increasing “the resistance of human dendrites, making the cell better at processing information,” explains Osborne.
Fortune reporter Aaron Pressman highlights how Prof. Julie Shah is working on making human-robot collaboration on the assembly line more effective through the use of collaborative robots, dubbed cobots. Pressman writes that Shah “is working on software algorithms developed with machine learning that will teach cobots how and when to communicate by reading signals from the humans around them.”
Popular Science reporter Rob Verger highlights how an MIT spinout and MIT researchers are developing tools to detect depression. “The big vision is that you have a system that can digest organic, natural conversations, and interactions, and be able to make some conclusion about a person’s well-being,” says grad student Tuka Alhanai.
MIT researchers have found that the large size of neurons in the human brain allows for electrical compartmentalization, which may contribute to the human brain’s complex cognitive capabilities, writes UPI reporter Brooks Hays.