Diamond is a promising material for the biomedical field, mainly due to its set of characteristics such as biocompatibility, strength, and electrical conductivity. Diamond can be synthesised in the laboratory by different methods, is available in the form of plates or films deposited on foreign substrates, and its morphology varies from microcrystalline diamond to ultrananocrystalline diamond. In this review, we summarise some of the most relevant studies regarding the adhesion of cells onto diamond surfaces, the consequent cell growth, and, in some very interesting cases, the differentiation of cells into neurons and oligodendrocytes. We discuss how different morphologies can affect cell adhesion and how surface termination can influence the surface hydrophilicity and consequent attachment of adherent proteins.
Category: cyborgs – Page 13
Whether it’s a powered prosthesis to assist a person who has lost a limb or an independent robot navigating the outside world, we are asking machines to perform increasingly complex, dynamic tasks. But the standard electric motor was designed for steady, ongoing activities like running a compressor or spinning a conveyor belt – even updated designs waste a lot of energy when making more complicated movements.
Researchers at Stanford University have invented a way to augment electric motors to make them much more efficient at performing dynamic movements through a new type of actuator, a device that uses energy to make things move. Their actuator, published March 20 in Science Robotics, uses springs and clutches to accomplish a variety of tasks with a fraction of the energy usage of a typical electric motor.
“Rather than wasting lots of electricity to just sit there humming away and generating heat, our actuator uses these clutches to achieve the very high levels of efficiency that we see from electric motors in continuous processes, without giving up on controllability and other features that make electric motors attractive,” said Steve Collins, associate professor of mechanical engineering and senior author of the paper.
Elon Musk’s Neuralink recently implanted a chip in a human for the first time. The emerging market of brain computer interfaces, or BCIs, is in the process of finding its footing. In a world where AI is on the rise, BCIs allow for telepathic control of computers and wireless operation of prosthetics. But how does this tech work?
WSJ goes inside a brain surgery to see how the implants work, and breaks down what it’s going to take to get these devices on the market.
Chapters:
0:00 Musk’s Neuralink.
0:41 The market.
3:03 Synchron.
3:57 Precision.
5:16 What’s next?
News Explainers.
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This robot is equipped with AI-backed deep learning algorithms to autonomously manage assisting users with underlying physiological conditions.
The robot illustrated seamless functioning that supports users in walking, standing, and climbing stairs or ramps. Scientists call it, a “unified control framework.”
Whether it’s a powered prosthesis to assist a person who has lost a limb or an independent robot navigating the outside world, we are asking machines to perform increasingly complex, dynamic tasks. But the standard electric motor was designed for steady, ongoing activities like running a compressor or spinning a conveyor belt—even updated designs waste a lot of energy when making more complicated movements.
Researchers at Stanford University have invented a way to augment electric motors to make them much more efficient at performing dynamic movements through a new type of actuator, a device that uses energy to make things move. Their actuator, published in Science Robotics, uses springs and clutches to accomplish a variety of tasks with a fraction of the energy usage of a typical electric motor.
“Rather than wasting lots of electricity to just sit there humming away and generating heat, our actuator uses these clutches to achieve the very high levels of efficiency that we see from electric motors in continuous processes, without giving up on controllability and other features that make electric motors attractive,” said Steve Collins, associate professor of mechanical engineering and senior author of the paper.
Robotic exoskeletons designed to help humans with walking or physically demanding work have been the stuff of sci-fi lore for decades. Remember Ellen Ripley in that Power Loader in “Alien”? Or the crazy mobile platform George McFly wore in 2015 in “Back to the Future, Part II” because he threw his back out?
There’s a lot to like about brain-computer interfaces, those sci-fi-sounding devices that jack into your skull and turn neural signals into software commands. Experimental BCIs help paralyzed people communicate, use the internet, and move prosthetic limbs. In recent years, the devices have even gone wireless. If mind-reading computers become part of everyday life, we’ll need doctors to install the tiny electrodes and transmitters that make them work. So if you have steady hands and don’t mind a little blood, being a BCI surgeon might be a job for you.
Shahram Majidi, a neurosurgeon at Mount Sinai Hospital in New York, began operating in clinical trials for a BCI called the Stentrode in 2022. (That’s “stent” as in a tube that often sits inside a vein or artery.) Here he talks about a not-too-distant future where he’s performing hundreds of similar procedures a year.
Brain-computer interfaces have been around for a few decades, and there are different kinds of implants now. Some have electrodes attached to your brain with wires sticking out of your head and connecting to a computer. I think that’s great as a proof of concept, but it requires an engineer sitting there and a big computer next to you all the time. You can’t just use it in your bedroom. The beauty of a BCI like the Stentrode, which is what I’ve worked with, is that nothing is sticking out of your brain. The electrodes are in blood vessels next to the brain, and you get there by going through the patient’s jugular. The receiver is underneath the skin in their chest and connected to a device that decodes the brain signals via Bluetooth. I think that’s the future.
AGI in 3 to 8 years
Posted in cyborgs, economics, employment, internet, robotics/AI, singularity
When will AI match and surpass human capability? In short, when will we have AGI, or artificial general intelligence… the kind of intelligence that should teach itself and grow itself to vastly larger intellect than an individual human?
According to Ben Goertzel, CEO of SingularityNet, that time is very close: only 3 to 8 years away. In this TechFirst, I chat with Ben as we approach the Beneficial AGI conference in Panama City, Panama.
We discuss the diverse possibilities of human and post-human existence, from cyborg enhancements to digital mind uploads, and the varying timelines for when we might achieve AGI. We talk about the role of current AI technologies, like LLMs, and how they fit into the path towards AGI, highlighting the importance of combining multiple AI methods to mirror human intelligence complexity.
We also explore the societal and ethical implications of AGI development, including job obsolescence, data privacy, and the potential geopolitical ramifications, emphasizing the critical period of transition towards a post-singularity world where AI could significantly improve human life. Finally, we talk about ownership and decentralization of AI, comparing it to the internet’s evolution, and envisages the role of humans in a world where AI surpasses human intelligence.
00:00 Introduction to the Future of AI
01:28 Predicting the Timeline of Artificial General Intelligence.
02:06 The Role of LLMs in the Path to AGI
05:23 The Impact of AI on Jobs and Economy.
06:43 The Future of AI Development.
10:35 The Role of Humans in a World with AGI
35:10 The Diverse Future of Human and Post-Human Minds.
36:51 The Challenges of Transitioning to a World with AGI
39:34 Conclusion: The Future of AGI.
Interestingly enough, although Elon Musk’s Neuralink received a great deal of media attention, early in 2023, Synchron published results from its first-in-human study of four patients with severe paralysis who received its first-generation Stentrode neuroprosthesis implant. The implant allowed participants to create digital switches that controlled daily tasks like sending texts and emails, partaking in online banking, and communicating care needs. The study’s findings were published in a paper in JAMA Neurology in January 2023. Then, before September, the first six US patients had the Synchron BCI implanted. The study’s findings are expected by late 2024.
Let’s return to Upgrade. “One part The Six Million Dollar Man, one part Death Wish revenge fantasy” was how critics described the movie. While Death Wish is a 1974 American vigilante action-thriller movie that is partially based on Brian Garfield’s 1972 novel of the same name, the American sci-fi television series The Six Million Dollar Man from the 1970s, based on Martin Caidin’s 1972 novel Cyborg, could be considered a landmark in the context of human-AI symbiosis, although in fantasy’s domain. Oscar Goldman’s opening line in The Six Million Dollar Man was, “Gentlemen, we can rebuild him. We have the technology. We have the capability to make the world’s first bionic man… Better than he was before. Better—stronger—faster.” The term “cyborg” is a portmanteau of the words “cybernetic” and “organism,” which was coined in 1960 by two scientists, Manfred Clynes and Nathan S Kline.
At the moment, “cyborg” doesn’t seem to be a narrative of a distant future, though. Rather, it’s very much a story of today. We are just inches away from becoming cyborgs, perhaps, thanks to the brain chip implants, although Elon Musk perceives that “we are already a cyborg to some degree,” and he may be right. Cyborgs, however, pose a threat, while the dystopian idea of being ruled by Big Brother also haunts. Around the world, chip implants have already sparked heated discussions on a variety of topics, including privacy, the law, technology, medicine, security, politics, and religion. USA Today published a piece headlined “You will get chipped—eventually” as early as August 2017. And an article published in The Atlantic in September 2018 discussed how (not only brain chips but) microchip implants, in general, are evolving from a tech-geek curiosity to a legitimate health utility and that there may not be as many reasons to say “no.” But numerous concerns about privacy and cybersecurity would keep us haunted. It would be extremely difficult for policymakers to formulate laws pertaining to such sensitive yet quickly developing technology.
Scientists can now 3D print more-realistic prosthetic eyes in a fraction of the time and effort required by traditional approaches.