It was one of the teachers of the school’s engineering program who suggested that their classmates could help him by developing a robotic hand.
15-year-old Tennessee boy Sergio Peralta now has a robotic hand, thanks to his classmates. A group of high school students designed a robotic hand for their newcomer.
“In the first days of school, I honestly felt like hiding my hand,” he said to CBS News.
A skin crafted from two layers of electrodes around an ion-infused sponge is better at sensing than human skin because it can detect nearby objects and what they are made of.
Ever since the invention of computers in the 1940s, machines matching general human intelligence have been greatly anticipated. In other words, a machine that possesses common sense and an effective ability to learn, reason, and plan to meet complex information-processing challenges across a wide range of natural as well as abstract domains, would qualify as having a human-level machine intelligence. Currently, our machines are far inferior to humans in general intelligence. However, according to philosopher Nick Bostrom at the University of Oxford, there are several pathways that could lead to human-level intelligence in machines such as whole brain emulation, biological cognition, artificial intelligence, human-machine interfaces, as well as networks and organizations. Once this happens, it would only be a matter of time until superhuman-level machine intelligence, or simply, superintelligence is unlocked. But what exactly do we mean by ‘superintelligence’? And are there different forms of superintelligence that our A.I.s can attain in the future? Let’s take a look at what Nick Bostrom has to say in this matter!
In his book, ‘Superintelligence’ Nick Bostrom defines the term ‘superintelligence’ “to refer to intellects that greatly outperform the best current human minds across many very general cognitive domains.” So, a super-intelligent intellect, would in principle, have the capacity to completely surpass the best human minds in practically every field, including science, philosophy, arts, general wisdom, and even social skills.
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.
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.
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.
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.
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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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.
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.
