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Category: cyborgs – Page 31

Some young sea spiders can regenerate significant portions of their bottom halves, including muscles, reproductive organs, and the anus, or can function without them, according to a study published on January 23rd in the Proceedings of the National Academy of Sciences.

The ability to regrow body parts is not widely seen, but some species possess this capability. For example, some sea slug heads can regenerate their entire bodies, and sea spiders and other arthropods can regrow parts of their legs. Researchers previously believed that arthropods could only regenerate legs, possibly due to their hard exoskeletons preventing them from regenerating other body parts.

Evolutionary biologist Georg Brenneis of the University of Vienna first discovered that sea spiders (Pycnogonum litorale) might have the ability to perform more complex regenerations when he accidentally injured a young specimen in the lab with forceps. The specimen was still alive despite being injured, so he decided to observe it.

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For most people, the idea of brain augmentation remains in the realms of science fiction. However, for scientists across the globe, it is fast becoming reality—with the possibility of humans with “super-intelligence” edging ever closer.

In laboratory experiments on rats, researchers have already been able to transfer memories from one brain to another. Future projects include the development of telepathic communication and the creation of “cyborgs,” where humans have advanced abilities thanks to technological interventions.

Scientists Mikhail Lebedev, Ioan Opris and Manuel Casanova have now published a comprehensive collection of research into brain augmentation, and their efforts have won a major European science research prize—the Frontiers Spotlight Award. This $100,000 prize is for the winners to set up a conference that highlights emerging research in their field.

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Summary: A newly developed machine learning model can predict the words a person is about to speak based on their neural activity recorded by a minimally invasive neuroprosthetic device.

Source: HSE

Researchers from HSE University and the Moscow State University of Medicine and Dentistry have developed a machine learning model that can predict the word about to be uttered by a subject based on their neural activity recorded with a small set of minimally invasive electrodes.

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Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
Google is preparing to release its Sparrow AI chatbot to compete with OpenAI’s ChatGPT, which was trained on human feedback and uses Google search to answer about current information, may be their answer as its likely going into beta this year. Google Deepmind releases its DreamerV3 reinforcement learning general AI that was trained in a fraction of the time required for OpenAIs similar project, but also needed no human input to be able to complete various tasks in minecraft. German Bionic showed its artificial intelligence powered robotic exoskeleton at CES 2023, which helps workers lift objects of up to 30 kilograms.

AI News Timestamps:
0:00 New Google AI vs OpenAI ChatGPT
4:28 Google Deepmind DreamerV3
7:06 AI Powered Robotic Exoskeleton.

#technology #tech #ai

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We’ve all seen Cyborgs in Hollywood blockbusters. But it turns out these fictional beings aren’t so far-fetched. In fact, this program features a true-to-life cyborg, who at four months of age, was the youngest American to be outfitted with a myoelectric hand. And at one ground-breaking engineering.
facility, engineers are developing biotechnologies that can even further enhance high-tech like this by giving mechanical prosthetics something incredible: the physical sensation of touch!

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Continue reading “Prosthetics, Telepathy & Robo-Implants: The Cyborg Revolution | Futurism & Robots Documentary (Ep 1)” | >

Artificial neural networks that are inspired by natural nerve circuits in the human body give primates faster, more accurate control of brain-controlled prosthetic hands and fingers, researchers at the University of Michigan have shown. The finding could lead to more natural control over advanced prostheses for those dealing with the loss of a limb or paralysis.

The team of engineers and doctors found that a feed-forward neural network improved peak finger velocity by 45% during control of robotic fingers when compared to traditional algorithms not using neural networks. This overturned an assumption that more complex neural networks, like those used in other fields of machine learning, would be needed to achieve this level of performance improvement.

“This feed-forward network represents an older, simpler architecture—with information moving only in one direction, from input to output,” said Cindy Chestek, Ph.D., an associate professor of biomedical engineering at U-M and corresponding author of the paper in Nature Communications.

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HAL [Hybrid Assistive Limb] is the world’s first technology that improves, supports, enhances and regenerates the wearer’s physical functions. Made by Cyberdyne 2018.

In this video a woman in a wheelchair since childhood because of polio walks again.

Click visits the Cyberdyne company in Japan, who are manufacturing HAL (Hybrid Assisted Limb) exoskeleton’s.

Subscribe HERE http://bit.ly/1uNQEWR
Find us online at www.bbc.com/click.
Twitter: @bbcclick.
Facebook: www.facebook.com/BBCClick

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All four participants were able to send out neural signals.

Medical technology company Synchron published in a press release on Monday the results of a clinical study that saw paralyzed patients effectively send out neural signals via an implantable brain-computer interface.

The study highlighted the long-term safety results from a clinical study in which four patients with severe paralysis implanted with Synchron’s first-generation Stentrode, a neuroprosthesis device, were able to control a computer.

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A team of researchers at the Korean Advanced Institute of Science (KAIST) has succeeded in developing a new artificial muscle using graphene-liquid crystal composite fibers.

The team, led by Professor Kim Sang-ouk of the Department of Materials Science and Engineering, stressed that the artificial muscle was found to be the most similar to human muscle among those reported to the scientific community so far.

Also, the artificial muscle showed up to 17 times stronger strength when compared to human muscles.

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We flew to the UK to learn more about the designer 3D-printing third thumbs. Is this the dawn of human body augmentation?

Watch the Hard Reset series ► https://www.youtube.com/playlist?list=PLXthoedLVIdLvnNgiCshQvqKdS7T_qeGY

Motorized prosthetics are nothing new. But what about artificial body parts that don’t replace missing ones, but instead provide us with extended capabilities, while also revealing insights into the relationship between brain and body?

That’s the main research focus of augmentation designer Dani Clode, who developed the Third Thumb, a 3D-printed extension for your hand that is controlled by your toes.

Through collaborative neuroscientific research with The Plasticity Lab at University College London & Cambridge University, Clode and her colleagues hope to better understand how the brain adapts to augmentation, learn more about the limits of neuroplasticity, and explore how to best utilize it to improve the control and usability of prosthetics and augmentative devices.

Watch on Freethink.com ► https://www.freethink.com/series/hard-reset/bionic-third-thumb.

Continue reading “Bionic 3rd thumb: The future of human augmentation | Hard Reset” | >