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.”
New Scientist reporter Timothy Revell writes that researchers from the MIT Media Lab have developed a new AI system that can tell scary stories. Revell explains that the system is “powered by deep learning algorithms that have been trained on stories collected from the subreddit /r/nosleep where people share their own original eerie works.”
During an appearance on WGBH’s Greater Boston, Prof. Regina Barzilay speaks with Jim Braude about her research and the experience of winning a MacArthur grant. Barzilay explains that the techniques she and her colleagues are developing to apply machine learning to medicine, “can be applied to many other areas. In fact, we have started collaborating and expanding.”
Prof. Regina Barzilay, recipient of a 2017 MacArthur grant, speaks to Radio Boston’s Meghna Chakrabarti about her research. Barzilay explains that data is not currently used in the medical field “to select treatments, to personalize it, or to help the patients reduce their uncertainty about the outcomes. I really strongly felt it has to be changed.”
Prof. Regina Barzilay has been named a MacArthur grant recipient for her work in computational linguistics and with applying machine learning to the field of oncology, reports Ellen Gamerman for The Wall Street Journal. “I firmly believe there is a lot of really important information and patterns that are hidden in the data of cancer patients,” said Barzilay.
Boston Globe reporter Laura Crimaldi writes that Prof. Regina Barzilay has been awarded a Macarthur “genius grant” in recognition of her work in the field of computational linguistics. Barzilay said she plans to use the prize, “to continue to work on improving cancer care using machine learning and natural language processing.”
CSAIL researchers have developed a system that detects objects and people hidden around blind corners, writes Anthony Cuthbertson for Newsweek. “We show that walls and other obstructions with edges can be exploited as naturally occurring ‘cameras’ that reveal the hidden scenes beyond them,” says lead author and MIT graduate Katherine Bouman.
MIT researchers have developed a new system that can spot moving objects hidden from view by corners, reports Douglas Heaven for New Scientist. “A lot of our work involves finding hidden signals you wouldn’t think would be there,” explains lead author and MIT graduate Katie Bouman.
Wired reporter Matt Simon writes that MIT researchers have developed a new system that analyzes the light at the edges of walls to see around corners. Simon notes that the technology could be used to improve self-driving cars, autonomous wheelchairs, health care robots and more.
Prof. Max Tegmark speaks with Jonathan Aberman of The Washington Post about his suggested approach to advancements in artificial intelligence. According to Tegmark, “we need to understand that artificial intelligence is not science fiction any more.”
Prof. Max Tegmark writes for NPR about how to ensure that the future of technology augments humankind. “I'm optimistic that we can thrive with advanced AI as long as we win the race between the growing power of our technology and the wisdom with which we manage it. But this requires ditching our outdated strategy of learning from mistakes.”
Prof. Daniela Rus talks to Gareth Mitchell of BBC’s Click about how she and her colleagues have developed shape-shifting robots that can change their exoskeletons to perform different tasks. “These types of robots could become superheroes for the robot kingdom,” explains Rus. “A robot could amplify all of its capabilities by taking on these different types of clothes.”
CSAIL researchers have developed a new shape-shifting robot that can change outfits in order to perform different tasks, reports Timothy Revell for New Scientist. “In the future, we imagine robots like this could become mini surgeons, squished into a pill that you swallow,” explains Prof. Daniela Rus.