A study by researchers at MIT has found “that 80% of companies are monitoring remote or hybrid workers,” reports Lucas Mearian for Computer World. “Specialized software can track online activity, location, and even behaviors such as keystrokes and tone in communications — often without workers’ knowledge,” explains Mearian.
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.”
Researchers at MIT have developed a new chip-based system capable of improving “how terahertz (THz) waves pass through silicon chips,” reports Rupendra Brahambhatt for Interesting Engineering. The researchers “applied a principle called matching, which involves reducing the difference between silicon (dielectric constant is 11) and air (dielectric constant is 1) so that more waves can travel through,” writes Brahambhatt.
MIT physicists have measured kinetic inductance for two layers of stacked and twisted graphene and found that the superconducting current is much “stiffer,” meaning it resists change more than predicted by any conventional theory of superconductivity, reports Karmela Padavic-Callaghan for New Scientist. The findings could do more than “shed light on why graphene superconducts – they could also reveal key properties required for room-temperature superconductors.”
In this interview (in Spanish), graduate students Suhan Kim and Yi-Hsuan (Nemo) Hsiao speak with Telemundo correspondent Miriam Arias about their work developing insect-sized robots to assist with agricultural needs. “There might be one year where you have a lot of bees in the field that help you pollinate everything. Maybe the next year, it might be affected by the temperature or something [and] you just don’t have enough bees to help you do so,” explains Hsiao.
Graduate students Suhan Kim and Yi-Hsuan (Nemo) Hsiao speak with Tech Briefs reporter Andrew Corselli about their work developing insect-sized robots capable of artificial pollination. “Typical drones use electromagnetic motors plus propellers. But, our system is a little different in that we are primarily using an artificial muscle,” explains Kim.
Researchers from MIT and elsewhere have develop insect-sized robots that could one day be used to help with farming practices like artificial pollination, reports Alice Rizzo for Reuters. "These type of robots will open up a very new type of use case," says graduate student Suhan Kim. "We can start thinking of using our robot, if it works well, for tools like indoor farming."
Researchers at MIT have developed an insect-like, flying robot capable of performing acrobatic maneuvers and hovering in the air for up to 15 minutes without failing, reports Alex Wilkins for New Scientist. “By having a hugely increased [flying] lifetime, we were able to work on the controller parts so that the robot can achieve precise trajectory tracking, plus aggressive maneuvers like somersaults,” says graduate student Suhan Kim.
Ars Technica reporter Jacek Krywko spotlights how MIT researchers have developed a new photonic chip that that can “compute the entire deep neural net, including both linear and non-linear operations, using photons.” Visiting scientist Saumil Bandyopadhyay '17, MEng '18, PhD '23 explains that: “We’re focused on a very specific metric here, which is latency. We aim for applications where what matters the most is how fast you can produce a solution. That’s why we are interested in systems where we’re able to do all the computations optically.”
Researchers at MIT have developed a “new type of transistor using semiconductor nanowires made up of gallium antimonide and iridium arsenide,” reports Alex Knapp for Forbes. “The transistors were designed to take advantage of a property called quantum tunneling to move electricity through transistors,” explains Knapp.
MIT researchers have developed a security protocol that utilizes quantum properties to ensure the security of data in cloud servers, reports Andrew Corselli for Tech Briefs. “Our protocol uses the quantum properties of light to secure the communication between a client (who owns confidential data) and a server (that holds a confidential deep learning model),” explains postdoc Sri Krishna Vadlamani.