>
Trump ARRESTS Deep State Agents, ITS HAPPENING
What Is Another Round of Bombing in Iran Actually Going to Achieve?
Israeli Quadcopter Drones Set Fire to Gaza Tent Camp, Displacing 800 Palestinians
CNN: US Forces Ready To Launch Major Attacks Against Iran Within 96 Hours of Receiving...
$10k EV hatch packs in 5-minute flash charging
Apex Recordhunter electric drone sets unofficial speed record
Space-age manna: USAF & SpaceX drop survival kit from orbit
World's first nuclear fusion power plant coming to WA | FOX 13 Seattle
Advanced Small Modular Reactors (SMRs)
A U.S. energy startup has demonstrated a new type of nuclear reactor that uses existing nuclear...
BREAKING: NIH-FUNDED MAD SCIENTISTS HAVE CREATED A HUMANOID ROBOT CONTROLLED...
Modular phone promises total privacy at the flick of a switch
Genetically Engineered War Dogs for 134 Pound Cyborg Dire Wolves Now – Later 600 Pound Wolves
They're Quietly REPLACING Our Food With THIS… And Nobody Is Talking About It!

And while you might wonder why they bothered, it actually has an interesting potential application.
The ultra-thin yet tough "nanomesh sensor" was built by a team at the University of Tokyo, led by Sunghoon Lee. It's made up of four layers, one of which is an insulating polyurethane mesh, and another of which consists of a network of electrically conductive gold lines – these lines serve as the pressure-sensing electrodes.
The porous membrane is thin enough that when applied to a person's fingertip, it doesn't affect their sense of touch or their ability to grasp objects. At the same time, though, it's very durable. When applied to the fingertips of 18 test subjects, it was reportedly "imperceptible" to the wearer, plus it remained intact and functional even after being rubbed against an unyielding surface 300 times.
It is hoped that the technology could ultimately find use in archiving the handiwork of people such as artisans or surgeons, who perform very delicate, exacting tasks. Based on their finger-pressure data, it's possible that other people or even robots could learn to perform the same tasks, at the same skill level.
The research is described in a paper that was recently published in the journal Science.