MIT researchers have developed “GelSight,” a system that provides robots with a sense of touch, reports Ben Guarino for Scientific American. “GelSight can identify by touch the tiny letters spelling out LEGO on the stud of a toy brick,” explains Guarino.
A study by MIT researchers examining the carbon emissions of self-driving cars found that “the power required to run one billion driverless vehicles driving for one hour per day could consume as much energy as all existing data centers in the world,” reports Claire Brown for The New York Times. Graduate student Soumya Sudhakar explains that another big unknown is how autonomous vehicles could change the way people travel, adding to the uncertainty over the overall long-term emissions outlook for self-driving cars.
Matt Carey MBA '17 and Greg Charvat, a former visiting researcher at the MIT Media Lab, co-founded TeraDAR, a startup that has developed advanced sensor technology that can see through various weather conditions that often confuse existing car sensors, reports Aaron Pressman for The Boston Globe. “We’re going to the last part of the electromagnetic spectrum that no one has ever been able to build a product at before,” explains Carey. “And instead of being able to see through your hand like an X-ray, we can see through rain and snow and dust and fog.”
Prof. Canan Dagdeviren speaks with Bloomberg Businessweek Daily reporters Carol Massar and Tim Stenovec about her work developing conformable ultrasound technology aimed at enabling earlier breast cancer detection. “This technology can be a part of your personal bra, and you can wear it and while drinking your coffee within seconds, it can tell you [about] any anomaly with pinpoint accuracy,” Dagdeviren explains.
Prof. Steve Leeb and graduate student Daniel Monagle speak with Tech Briefs reporter Edward Brown about their work “designing an energy management interface between an energy harvesting source and a sensor load that will give the best possible results.” Monagle notes that in the future they hope to make the system “smaller so that it can fit in tight places like inside a motor terminal box. But beyond that we want to take advantage of AI tools to design techniques for minimizing the energy used by the system.”
WBUR reporter Rachell Sanchez-Smith spotlights two health tech devices being developed by Prof. Yoel Fink and Prof. Canan Dağdeviren, respectively, that aim to “give the wearers — and their doctors — a clearer picture of their overall health.” Fink has created “a thread capable of storing data, running artificial intelligence algorithms, sensing motion and sound, and communication through Bluetooth,” while Dağdeviren’s wearable ultrasound scanner can be used to make breast cancer screening “more comfortable and more accurate,” explains Sanchez-Smith.
Researchers at MIT have “developed an antenna that can adjust its frequency range by physically changing in its shape” reports Mrigakshi Dixit for Interesting Engineering. “Instead of standard, rigid metal, this antenna is made from metamaterials — special engineered materials whose properties are based on their geometric structure,” explains Dixit. “It could be suitable for applications like transferring energy to wearable devices, tracking motion for augmented reality, and enabling wireless communication.”
Researchers at MIT have developed “a new imaging technique that could allow quality control robots in warehouses to peer into closed boxes,” reports Chris Young for Interesting Engineering. “Using this new technology, robots could peer into a cardboard shipping box and see that the handle of a mug is broken, for example,” explains Young. “This new method could revolutionize warehouse quality control and streamline the shipping and delivery process.”
Prof. Canan Dagdeviren speaks with NBC Boston reporter Priscilla Casper about her work developing a wearable ultrasound scanner that can be used for early breast cancer detection, with the goal of empowering “women to monitor their own bodies, on their own time and in the comfort of their own home.” Dagdeviren explains that “our hope [is to] collect a lot of data and use AI to predict what will happen to breast tissue over time.”
Defense One reporter Patrick Tucker writes that MIT researchers have developed “a new way to make large ultrathin infrared sensors that don’t need cryogenic cooling and could radically change night vision for the military or even autonomous vehicles.” Tucker notes: “This research points to a new kind of vision: not just night vision without cooling, but a production method for faster and cheaper development of night vision equipment with more U.S. components.”
MIT scientists have developed a new programmable fiber that can be stitched into clothing to help monitor the wearer’s health, reports Stephen Beech for FOX 28 News. “The gear has been tested by U.S. Army and Navy personnel during a month-long winter research mission to the Arctic,” Beech notes.
Dezeen reporter Rima Sabina Aouf spotlights how MIT researchers have created a “thin and flexible fiber computer and woven it into clothes, suggesting a potential alternative to current wearable electronics.” Prof. Yoek Fink explains: "In the not-too-distant future, fiber computers will allow us to run apps and get valuable health care and safety services from simple everyday apparel.” He adds: "The convergence of classical fibers and fabrics with computation and machine learning has only begun.”
MIT engineers have manufactured a programmable computer fiber that can be woven into clothing and used to help monitor the wearer’s vital signs, reports Jennifer Ouellette for Ars Technica. “The long-term objective is incorporating fiber computers into apparel that can sense and respond to changes in the surrounding environment and individual physiology,” Ouellette notes.
New Scientist reporter Alex Wilkins spotlights how MIT researchers have created a “computer that can be stitched into clothes, made from chips that are connected in a thread of copper and elastic fiber.” U.S. Army and Navy members will be testing the use of the fiber computer to help monitor health conditions and prevent injury during a monthlong mission to the Arctic. Prof. Yoel Fink explains: “We’re getting very close to a point where we could write apps for fabrics and begin to monitor our health and do all kinds of things that a phone, frankly, cannot do.”
Research Assistants Maisy Lam and Laura Dodds speak with Tech Briefs reporter Andrew Corselli about their work developing MiFly, a new approach that “enables a drone to self-localize, or determine its position, in indoor, dark, and low-visibility environments.” Dodds explains: “Our high-level idea was we can place a millimeter wave sensor on the drone, and it can localize itself with respect to a sticker that we place on the wall, a millimeter wave tag. This would allow us to provide a localization system in these challenging environments with minimal infrastructure.”