Mashable spotlights how MIT’s baseball pitching coach is using motion capture technology to help analyze and teach pitching techniques. Using the technology, Coach Todd Carroll can “suggest real-time adjustments as a player is pitching so that just one session using the technology improves their game.”
UPI reporter Brooks Hays writes that researchers from MIT and other institutions have developed a programmable digital fiber that can capture, store and analyze data. The technology could “be paired with machine learning algorithms and used to make smart fabrics to record health data and aid medical diagnosis,” writes Hays.
An electric, autonomous boat developed by MIT researchers is being tested in the canals of Amsterdam as part of an effort to ease traffic, reports Aleksandar Furtula and Mike Corder for the AP. The Roboat project is aimed at developing “new ways of navigating the world’s waterways without a human hand at the wheel,” write Furtula and Corder. “The vessels are modular so they can be easily adapted for different purposes, carrying cargo or workers.”
Hanna Ali of NOVA Next speaks with Prof. Desiree Plata about methane emissions and Prof. Tim Swager about his work developing sensors that could allow users to “see” methane, track down its source and mitigate impacts. “You probably hear headlines all the time, ‘Everywhere we look for plastics in the environment, we find them,’” Plata says. “The same is true of most industrial chemicals, but the problem is I can’t pull out my cell phone and take a picture of [them]. Tim’s sensors are helping to close that gap.”
Axios reporter Bryan Walsh spotlights how MIT researchers have developed a new way for chemical signals in spinach leaves to transmit emails. “The system could help provide an early warning system for explosives or pollution, but really, we just want to know what the spinach are thinking,” writes Walsh.
Fast Company reporter Adele Peters spotlights Prof. Michael Strano’s work exploring how to embed nanoparticles into plant leaves, as part of an effort to see if they could serve as sensors. “We started asking the question, can we make living plants to do some of the functions that humans do by stamping things out of plastic and circuit boards—things that go into landfills?” says Strano.
MIT researchers have developed a way to embed spinach leaves with sensors, which would allow them to serve as sensors that could monitor groundwater for contaminates, reports The Guardian. “Plants are very environmentally responsive,” explains Prof. Michael Strano. “If we tap into those chemical signaling pathways, there is a wealth of information to access.”
Research scientist Brian Subirana speaks with The Economist’s Babbage podcast about his work developing a new AI system that could be used to help diagnose people asymptomatic Covid-19.
Writing for The Boston Globe, Linda Rodriguez McRobbie spotlights Cyborg Botany, a project at the Media Lab aimed to tap into how plants react to their environments. The researchers grew plants with “conductive wires in their intercellular spaces. That allowed the plants to become inconspicuous motion sensors, sending a signal via microelectrodes to a laptop every time someone walked by.”
Prof. Fadel Adib speaks with BBC reporter Gareth Mitchell about a new battery-free underwater navigation system that his group developed. Adib explains that one of the key developments behind the new sensors is that they can “harvest power from sound.”
Fast Company reporter Adele Peters writes that a new mask developed by Prof. Giovanni Traverso is embedded with sensors that change colors when it is properly positioned. “When you put on the mask, if the edge is in contact with the skin, you will have that temperature change indicating that you have contact,” says Traverso. “If not, then there won’t be that color change, and you can tell immediately.”
A new algorithm developed by MIT researchers could be used to help detect people with Covid-19 by listening to the sound of their coughs, reports Zoe Kleinman for BBC News. “In tests, it achieved a 98.5% success rate among people who had received an official positive coronavirus test result, rising to 100% in those who had no other symptoms,” writes Kleinman.
Mashable reporter Rachel Kraus writes that a new system developed by MIT researchers could be used to help identify patients with Covid-19. Kraus writes that the algorithm can “differentiate the forced coughs of asymptomatic people who have Covid from those of healthy people.”
MIT researchers have developed a new battery-free, underwater navigation system, reports Darrell Etherington for TechCrunch. “Ultimately, the system and future versions that are based on the same technology could enable future robotic submarine explorers to better map the ocean floor,” writes Etherington, “and perform all kinds of automated monitoring and sub-sea navigation.”
A new took developed by MIT researchers uses neural networks to help identify Covid-19, reports Alyse Stanley for Gizmodo. The model “can detect the subtle changes in a person’s cough that indicate whether they’re infected, even if they don’t have any other symptoms,” Stanley explains.