CSAIL researchers have developed a new system that uses low-power radio waves to detect and track people behind walls, reports Matt Simon for Wired. The system, which can be used to detect signs of distress in elderly patients, also “distinguishes one person from another in the same way your fingerprint distinguishes you,” explains Prof. Dina Katabi.
CSAIL researchers have created a system that can sense a person’s movements through walls, writes John Biggs for TechCrunch. The system is primarily intended as a healthcare device and could help with “passive monitoring of a subject inside a room without cameras or other intrusions,” and could provide insight into disease progression, Biggs explains.
Fast Company reporter Melissa Locker writes that CSAIL researchers have developed a system that allows wireless devices to sense a person’s movement through walls. Locker explains that the technology was created as a way to help those who are elderly, as it could be used to “monitor diseases like Parkinson’s and multiple sclerosis and provide a better understanding of disease progression.”
NBC Mach reporter Tom Metcalfe writes that MIT researchers are developing autonomous boats that could be used to ferry goods and people and could help ease traffic congestion. “We believe that with fleets of very agile autonomous boats we can offload some street traffic onto the waterways,” explains Prof. Daniela Rus.
To prove that the data used to train machine learning algorithms can greatly influence its behavior, MIT researchers input gruesome and violent content into an AI algorithm, writes Benjamin Fearnow for Newsweek. The result is “Norman,” an AI system in which “empathy logic simply failed to turn on,” explains Fearnow.
In this video, BBC Click spotlights VirtualHome, a simulator developed by CSAIL researchers that could be used to teach robots to perform household chores. The researchers hope the system could one day allow for seamless human-robot collaboration by allowing robots to, “cooperate with [humans] in finishing their activity,” explains graduate student Xavier Puig.
MIT researchers have developed a virtual reality environment in order to train drones, writes Logan Booker of Gizmodo. “It's a neat use of an emerging technology, one that makes a lot of sense when you think about it,” Booker concludes.
In an effort to determine how different data impacts the view of AI, Media Lab researchers used gruesome images to train a system, which ultimately created a psychopathic AI, writes BBC reporter Jane Wakefield. "It highlights the idea that the data we use to train AI is reflected in the way the AI perceives the world and how it behaves," says Prof. Iyad Rahwan.
Prof. Patrick Winston is teaching a computer to read a truncated version of Macbeth in an effort to determine “how to build computer systems that can simulate the human mind’s unique powers of perception and insight,” writes Andy Rosen for The Boston Globe. Winston believes understanding stories is “a fundamental differentiating capability of us humans. And machines don’t have it yet.”
CSAIL researchers have developed a new system that could be used to train machines to complete tasks, writes Patrick Lucas Austin for Gizmodo. The researchers hope the system could eventually be used to, “teach robots how to accomplish tasks simply by showing them actual instructional videos,” Austin explains.
MIT researchers have created a system that aims to teach robots how to perform household chores by breaking down activities into simple steps, reports Sean Captain for Fast Company. Captain explains that in order to simplify each chore, the researchers, “identified sub-tasks to describe thousands of duties in settings such as kitchens, dining rooms, and home offices.”
Wired reporter Matt Simon writes that CSAIL researchers have developed a new virtual system that could eventually be used to teach robots how to perform household chores. Researchers hope the system could one day help robots, “learn to anticipate future actions and be able to change the environment for the human,” explains PhD student Xavier Puig.
Wired reporter Jack Stewart highlights how MIT researchers have developed a 3-D printed autonomous boat that could be used to ferry goods or people. The boats could eventually, “use their onboard GPS sensors and inertial measurement units to precisely position themselves in packs, forming instant floating bridges, or stages, or platforms for pop-up food markets on the water.”
In this Bloomberg radio segment, Prof. Daniela Rus discusses her work developing a fleet of autonomous 3-D printed boats that could not only transport goods and people, but also self-assemble into bridges and other structures. Rus explains that she is, “very excited about the idea of taking the autonomy technologies we have in driverless cars and applying them to other vehicles.”
In an article for Inside Higher Ed, Ray Schroeder writes about a new tool developed by Media Lab researchers that allows humans to communicate with computers. After summarizing the technology and exploring its potential implications for educators, Schroeder asks: “Are you prepared to leverage this technology in teaching and learning?”