MIT researchers have developed a system that allows drones to scan and read RFID tags, reports Amy Wallace for UPI. Rather than use the drones to carry RFID readers, researchers found a way to use “the drones to relay signals emitted by a standard RFID reader, allowing for the more effective locating of tags,” writes Wallace.
Renée Richardson Gosline, a senior lecturer in the Sloan School of Management, writes for WBUR’s Cognoscenti about whether it is a good idea to integrate artificial intelligence in all aspects of the online shopping experience. People often “outsource decisions and tasks to technology based on the assumption that it will improve your performance,” explains Gosline.
CSAIL researchers have developed an artificial intelligence system that can reduce video buffering, writes Kevin Murnane for Forbes. The system, “adapts on the fly to current network and buffers conditions,” enabling smoother streaming than other methods.
During this NECN segment, Boston Business Journal reporter Kelly O’Brien discusses the new wireless sleep detection device developed by CSAIL researchers. The algorithm developed by the research team can translate radio waves emitted by the device “into usable information about where a person is in their sleep cycle,” explains O’Brien.
TechCrunch reporter Brian Heater spotlights a new device developed by MIT researchers that can wirelessly monitor sleep. “Thanks to new AI technology, the system is now able to translate subtle movement into meaningful information about the subject’s sleep patterns, including sleep stages (light/deep/R.E.M.), movement and breathing rate."
An algorithm developed by Prof. Iyad Rahwan and graduate student Bjarke Felbo has been trained to detect sarcasm in tweets that use emojis, writes Josh Lowe for Newsweek. After reading over 1 billion tweets with emojis, the algorithm predicted, “which emoji would be associated with a given tweet based on its emotional tone,” explains Lowe.
Wall Street Journal reporter Alexander Davis writes that MIT researchers have found venture capitalists would have better exit success rates if they relied more on mathematical models to build their portfolios. The study examined the, “exit probabilities among thousands of startups since 2000 seems to bolster the argument for letting quantitative analytics drive more of the venture industry.”
MIT researchers have developed a new device that can track sleep patterns using radio waves, reports Alyssa Meyers for The Boston Globe. The researchers plan to “use the device to study how Parkinson’s disease affects sleep,” Meyers explains, adding that it could also be helpful with, “studying Alzheimer’s disease, insomnia, sleep apnea, and epilepsy.”
Wired reporter Liz Stinson writes that researchers from MIT and Google have developed a new algorithm that can automatically retouch images on a mobile phone. “The neural network identifies exactly how to make it look better—increase contrast a smidge, tone down brightness, whatever—and apply the changes in under 20 milliseconds,” Stinson explains.
Aaron Schrank reports for Marketplace that the textile industry is experiencing a revival as it creates more technologically advanced fabrics. Schrank highlights the Advanced Functional Fabrics of America (AFFOA) Institute, led by Prof. Yoel Fink, where researchers have developed programmable backpacks that should be able to “send you an email when they get lost."
A team of researchers from MIT and Princeton participating in the Amazon Robotics Challenge are using GelSight technology to give robots a sense of touch, reports Tom Simonite for Wired. Simonite explains that the, “rubbery membranes on the robot’s fingers are tracked from the inside by tiny cameras as they are deformed by objects it touches.”
In an article for Forbes, Jimmy Soni highlights some of the late MIT Prof. Claude Shannon’s most important contributions to math and technology. Soni notes that Shannon is known as the “father of the information age” thanks to his work “in the 1930s and 1940s that helped to lay the groundwork for the digital world we live in.”
Mercury News reporter Jasmine Leyva highlights how students in Campbell, California are participating in the Zero Robotics program, which “aims to take students’ work to the moon and beyond, all while teaching students about space exploration, computer science and coding.” The Zero Robotics program is led by the MIT Space Systems Lab, Innovation Learning Center and Aurora Flight Sciences.
Forbes reporter Kevin Murnane writes about how MIT researchers have used a computer vision system to examine how several American cities physically improved or deteriorated over time. Murnane writes that the study “provides important support for nuanced versions of traditional theories about why urban neighborhoods change over time.”
CSAIL researchers have developed drones that can drive and fly through a city-like setting, reports Gareth Mitchell for BBC News. The goal for this research is to have the vehicles “coordinate with each other and make intelligent decisions when they fly and drive,” says graduate student Brandon Araki.