In the hopes of one day building super realistic cyborgs, researchers built a robotic finger that wears living human skin.
New artificial skin for bionic arm or AI robot | breakthrough photonic chip processes 2 billion images per second without memory device.
AI news includes new artificial skin to let AI robot, bionic arm or prosthetic limb feel with extreme touch sensitivity. New photonic chip allows AI to process and classify 2 billion images per second without needing storage device.
This is a fantastic podcast exploration of a rapidly maturing, wildley varied fields of science, the military, medicine, the industrialization, exploration, and colonization of our solar system, and the hope for, path to, and purpose of the successful creation of a posthuman, post scarcity future. Its a future destination for humanity that will require a seemless, successful integration of our human biology with artificial intelligence and advanced nonbiological — AND artificially biological — mechanical systems that in one way or another all pass through a very few neccessary technological achievements. In this case it is the seemless communication in both directions of the biological, in this specific case it’s the human sense of touch.
When Brandon Prestwood’s left hand was caught in an industrial conveyor belt six years ago, he lost his arm. Scientists are slowly unraveling the science of touch by trying to tap into the human nervous system and recreate the sensations of pressure for people like Prestwood. After an experimental surgery, Brandon’s prosthetic arm was upgraded with a rudimentary sense of touch—a major development in technology that could bring us all a little closer together.
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Mimicking the human body, specifically the actuators that control muscle movement, is of immense interest around the globe. In recent years, it has led to many innovations to improve robotics, prosthetic limbs and more, but creating these actuators typically involves complex processes, with expensive and hard-to-find materials.
Researchers at The University of Texas at Austin and Penn State University have created a new type of fiber that can perform like a muscle actuator, in many ways better than other options that exist today. And, most importantly, these muscle-like fibers are simple to make and recycle.
In a new paper published in Nature Nanotechnology (“Nanostructured block copolymer muscles”), the researchers showed that these fibers, which they initially discovered while working on another project, are more efficient, flexible and able to handle increased strain compared to what’s out there today. These fibers could be used in a variety of ways, including medicine and robotics.
Imagine this: A smooth touchscreen display placed on top of a thin silicone polymer film suddenly generates the feeling of a tiny raised button under the user’s finger. Or how about the idea of wearing that same polymer film like a second skin? If used to line an industrial glove, the film can provide valuable feedback by gesture recognition and by sending tactile signals, such as pulses or vibrations, to the wearer. The research team led by Professor Stefan Seelecke of Saarland University will be at this year’s Hannover Messe, the industrial trade fair running from 30 May to 2 June, where the team will be demonstrating how smart tactile surfaces are now being used as novel human-machine interfaces.
Seelecke’s research team at Saarland University are using thin silicone films to give surfaces some very novel capabilities. The technology, which is able to create the sensation of a tactile “button” or “slider” on flat glass display screens, is literally bringing a new dimension to touchscreen interactions. The polymer film is able to change shape on demand to create the feeling of a raised button or a key on the surface of the display that the user can then use, for example, to navigate around a page or to enter data.
“Using this technology, we can make the user interfaces of smart phones, information screens or household devices more user friendly,” said Seelecke, who heads the Intelligent Material Systems Lab at Saarland University. If a user feels a pulse or vibration under their fingertips, they can then respond by tapping the screen. And because the user also experiences the slight resistance that we feel when we press a ‘real’ button or switch, they know that their response has been successful. For the blind and partially sighted, this sort of physical feedback is not a gimmick, but hugely valuable in their day to day lives.
Researchers at Meta’s Artificial Intelligence Research Lab (Facebook) in the U.S. and at the University of Twente’s Neuromechanical Modelling and Engineering Lab in the Netherlands (led by Prof.dr.ir Massimo Sartori), have co-developed the open-source framework MyoSuite, which combines advanced musculoskeletal models with advanced artificial intelligence (AI). The AI-powered digital models in MyoSuite can learn to execute complex movements and interactions with assistive robots, that would otherwise require long experimentations on real human subjects.
Modeling and simulation are now as important to human health technologies as they have been for the advancement of modern automotive industry. Prof. Massimo Sartori: “If we could predict the outcome of a robotic therapy beforehand, then we could optimize it for a patient and deliver a truly personalized and cost-effective treatment.”
MyoSuite supports the co-simulation of AI-powered musculoskeletal systems physically interacting with assistive robots such as exoskeletons. With MyoSuite you can simulate biological phenomena, e.g., muscle fatigue, muscle sarcopenia, tendon tear and tendon reaffirmation. Moreover, you can simulate how assistive robots could be designed and controlled to restore movement following impairment.
Incredible and somewhat frightening visions of the future will become a reality in the coming decades. According to futurologists, people of the future will gain immortality and will live in the body of a machine. Dr. Ian Pearson predicts that a person will be able to transfer his mind into a computer and one day he will go to a funeral where his previous biological body will be buried. Like anomalien.com on Facebook To stay in touch & get our latest news Cyborgization has some good sides. Let us take into account that we will be able to exchange each of…
This AI powered prosthetic arm understands what you think. Muscle-controlled prosthetic limbs that patients with amputations across the globe currently use have various limitations and challenges. Good quality prosthetics parts are cumbersome, come with a complex setup, and require patients to undergo training for several months to learn their use. Interestingly, a new technology proposed by a team of researchers at the University of Minnesota (UMN) can overcome all such challenges.
It may sound like science-fiction, but the researchers claim that the new technology would allow patients to control robotic body parts using their thoughts. By employing artificial intelligence and machine learning, the researchers at UMN have developed a portable neuroprosthetic hand. The robotic hand comes equipped with a nerve implant linked to the peripheral nerve in a patient’s arm.
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