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Wired reporter Matt Simon spotlights CSAIL’s ‘Evolution Gym,’ a virtual environment where robot design is entirely computer generated. “There’s a potential to find new, unexpected robot designs, and it also has potential to get more high-performing robots overall,” says Prof. Wojciech Matusik. “If you start from very, very basic structures, how much intelligence can you really create?”
STAT reporter Katie Palmer writes that MIT researchers have developed a new machine learning model that can "flag treatments for sepsis patients that are likely to lead to a ‘medical dead-end,/ the point after which a patient will die no matter what care is provided.”
Researchers from MIT and other institutions have successfully uncovered the letterlocking technique that Mary, Queen of Scots, used to seal her final letter, reports NPR’s Tien Le. “The spiral lock requires more than 30 steps and involves cutting out a ‘lock,’ often resembling a dagger or sword, out of the blank margin of the letter,” writes Le. “The lock acts as a needle and is sewn through the letter after folding it.”
MIT researchers have created a virtual environment for optimizing the design and control of soft robots, reports Prachi Patel for Scientific American. “The future goal is to take any task and say, ‘Design me an optimal robot to complete this task,’” says undergraduate Jagdeep Bhatia.
An international team of researchers has found that Mary, Queen of Scots, used a complicated paper-folding technique called letterlocking to conceal the contents of her final letter, reports Alison Flood for The Guardian. MIT Libraries Conservator Jana Dambrogio explains that working on Mary's last letter “and figuring out its unique spiral lock was thrilling as a researcher – and a real a-ha! moment in the study of letterlocking.”
Boston Globe reporter Aaron Pressman spotlights Prof. Tim Berners-Lee’s startup, Inrupt, for creating open-sourced based software applications that protect and maintain digital data. “The idea is that a person or company could stash important personal or business data in a digital space, kind of like an online locker,” writes Pressman.
Tech Crunch reporter Brian Heater spotlights how CSAIL researchers have unveiled a testing simulator for soft robotic designs. “It offers some interesting insights into how compliant robots can adapt to different environmental changes,” writes Heater.
Air & Space Forces Magazine reporter Amanda Miller spotlights the Department of Air Force-MIT AI Accelerator, which is focused on furthering the science of AI. Thanks to such a close connection with “a world-class academic institution,” said Col. Tucker Hamilton, “we’re making advancements revolutionary to the entire field—the entire world.”
MIT researchers developed a new control system for the mini robotic cheetah that allows the robot to jump and traverse uneven terrain, reports Jules Suzdaltsev for Mashable. “There’s a camera for processing real-time input from a video camera that then translates that information into body movements for the robot,” Suzdaltsev explains.
Inc. columnist Justin Bariso spotlights the late Prof. Patrick Winston’s IAP course “How to Speak,” which was aimed at helping people improve their communications skills while also underscoring the important role engagement plays in becoming a better listener. Some people ask why [no laptops, no cellphones] is a rule of engagement," said Winston. "The answer is, we humans only have one language processor. And if your language processor is engaged ... you're distracted. And, worse yet, you distract all of the people around you. Studies have shown that."
The Naked Scientist podcaster Verner Viisainen spotlights how MIT researchers studied vector-based navigation in humans. “What we discovered is actually that we don’t follow the shortest path but actually follow a different kind of optimization criteria which is based on angular deviation,” says Prof. Carlo Ratti.
Popular Science reporter Charlotte Hu writes that MIT researchers have simulated an environment in which socially-aware robots are able to choose whether they want to help or hinder one another, as part of an effort to help improve human-robot interactions. “If you look at the vast majority of what someone says during their day, it has to do with what other [people] want, what they think, getting what that person wants out of another [person],” explains research scientist Andrei Barbu. “And if you want to get to the point where you have a robot inside someone’s home, understanding social interactions is incredibly important.”
Prof. Julie Shah speaks with Washington Post reporter Tatum Hunter about whether AI technologies will ever surpass human intelligence. “Any positive or negative use or outcome of this technology isn't predetermined. We have a lot of choices that we make,” Shah says. “And these should not be decisions that are left solely to technologists. Everybody needs to be involved because this technology has such a broad impact on all of us.”
MIT researchers have developed a new machine learning system that can help robots learn to perform certain social interactions, reports Brian Heater for TechCrunch. “Researchers conducted tests in a simulated environment, to develop what they deemed ‘realistic and predictable’ interactions between robots,” writes Heater. “In the simulation, one robot watches another perform a task, attempts to determine the goal and then either attempts to help or hamper it in that task.”
Mashable video producer Jules Suzdaltsev shares that MIT scientists and a team of researchers have successfully created full-scale, self-navigating robotic boats ready to wade through the Amsterdam canals. “The boats use GPS, lidar, cameras and control algorithms to reach their full self-navigating capabilities,” writes Suzdaltsev.