Graduate student Achuta Kadambi speaks with the BBC’s Gareth Mitchell about the new depth sensors he and his colleagues developed that could eventually be used in self-driving cars. “This new approach is able to obtain very high-quality positioning of objects that surround a robot,” Kadambi explains.
Bonnie Christian of Wired provides tips from experts for boosting productivity in the new year. A recent renovation by Prof. Carlo Ratti allows workers to adjust their lighting and temperature to “create a kind of thermal bubble, which follows each individual, allowing better comfort and a reduction of energy waste,” he explains.
Writing for Scientific American, Prof. Alex “Sandy” Pentland explains how new digital technologies are making it possible to build more efficient financial networks and decentralize the control of money. “That we can now create monetary systems that are truly understandable means we can potentially build the tools for minimizing risk, avoiding crashes, and maintaining individual freedom from intrusive governments and overly powerful corporations.”
In a Boston Globe Magazine article about bioelectronic medicine, writer Jessie Scanlon highlights research by Profs. Ed Boyden and Daniela Rus. Boyden notes that by creating light-sensitive molecules, which can be switched on and off and inserted into neurons, “groups in academia and industry are using the tool to discover patterns of neural activity.”
A team of MIT students and postdocs has taken the top prize in the architecture category of the 2017 Mars City Design competition, reports Janussa Delzo for Newsweek. Delzo notes that the MIT team’s tree-inspired concept features “domes or tree habitats...large enough for 50 people to live inside of them."
Science reporter Philip Shapira highlights Prof. Neil Gershenfeld’s new book, co-written with his brothers, about digital fabrication. Shapira writes that the, “Gershenfelds engagingly alert us not only to the opportunities that digital fabrication presents but also to the societal and governance challenges that the widespread diffusion of this technology will generate.”
In a letter to The Financial Times, Prof. Jessika Trancik, postdoc Geoffrey Supran, and graduate student Marco Miotti clarify results from a study the lab released last year that compares emissions of gas and electric vehicles. “Not only do electric cars usually emit less than petrol ones already, but over time, as the carbon footprint of electricity continues to fall, that gap will widen,” the researchers explain.
In an article for The New York Times, graduate student Yonah Freemark writes that making city streets safer can help protect pedestrians and cyclists from careless and malicious drivers. “The side effects of a pedestrian-focused strategy are overwhelmingly positive, even setting aside the lowered potential for death. Air quality improves, people exercise more, neighborhood business expands.”
Valentina Zarya writes for Fortune that MIT researchers have developed an AI system that can generate horror stories. The system, named Shelley, learned its craft by reading a Reddit forum containing stories from amateur horror writers. The bot, Shelley, also tweets a line for a new story every hour, encouraging Twitter users to continue the story.
MIT Media Lab researchers have created an AI program that can write horror stories in collaboration with humans via Twitter, reports David Wade for CBS Boston. “Over time, we are expecting her to learn more from the crowd, and to create even more scarier stories,” says postdoctoral associate Pinar Yanardag.
Nick Glass of CNN writes about the history of death masks and a new wave of masks developed by Prof. Neri Oxman, which were digitally designed without a human model. “The masks are mesmerizingly beautiful and translucent, filled with smoky whirls of color -- reds, oranges, greens and purples. They seem to evoke many things,” says Glass.
MIT researchers have developed an artificial neural network that can generate horror stories by collaborating with people on Twitter, HuffPost reports. Pinar Yanardag, a postdoc at the Media Lab, explains that the system is, “creating really interesting and weird stories that have never really existed in the horror genre.”
Associated Press reporter Matt O’Brien details how Media Lab researchers have developed a new system, dubbed Shelley, that can generate scary stories. O’Brien explains that, “Shelley's artificial neural network is generating its own stories, posting opening lines on Twitter, then taking turns with humans in collaborative storytelling.”
Newsweek reporter Joseph Frankel writes that MIT Media Lab researchers have developed an AI system named Shelley that uses human input to write short horror stories. Frankel explains that Shelley, “tweets out one or two sentences as the start of a new horror story, then calls for users to respond with their own lines.”
Researchers from MIT’s Urban Risk Lab piloted a free online tool that crowdsources social media posts to map flood conditions during Hurricane Irma, writes Frankie Schembri for NOVA Next. “Residents often have the best information about the situation near them,” explains research scientist Tomas Holderness, “and we now have the network to be able to collect information.”