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This paper provides evidence that a theoretical computer science (TCS) perspective can add to our understanding of consciousness by providing a simple framework for employing tools from computational complexity theory and machine learning. Just as the Turing machine is a simple model to define and explore computation, the Conscious Turing Machine (CTM) is a simple model to define and explore consciousness (and related concepts). The CTM is not a model of the brain or cognition, nor is it intended to be, but a simple substrate-independent computational model of (the admittedly complex concept of) consciousness. This paper is intended to introduce this approach, show its possibilities, and stimulate research in consciousness from a TCS perspective.
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“I’ve been banging this AI drum for a decade,” Musk told Business Insider.
Musk’s latest warning is that smart people who assume they could never be fooled by a machine are in effect lowering their guard to any AI trickery coming their way.
“We should be concerned about where AI is going,” Musk told Business Insider. “The people I see being the most wrong about AI are the ones who are very smart, because they can’t imagine that a computer could be way smarter than them. That’s the flaw in their logic. They’re just way dumber than they think they are.”
Researchers at the University of Minnesota have made a major breakthrough that allows people to control a robotic arm using only their minds. The research has the potential to help millions of people who are paralyzed or have neurodegenerative diseases.
The study is published online today in Scientific Reports, a Nature research journal.
To read the full research paper, entitled “Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks,” visit the Nature Scientific Reports website.
Groundbreaking study demonstrates potential to help millions of people with disabilities.
UK’s National Grid Electricity Transmission (NGET) is launching trials to fully automate the corrosion inspection of electricity transmission pylons with the help of autonomous drones.
NGET owns 21,900 steel lattice pylons that carry overhead transmission conductor wires in England and Wales. Transmission pylon steelwork conditions can deteriorate through corrosion, so periodic assessments are made to understand the health of the network. NGET inspects around 3,650 steel lattice pylons each year, capturing high definition still color images of steelwork using helicopters and manually-operated drones.
Alan DeRossettElon holds a grudge after nearly 20 years of Putin bots and fossil fuel cater calling him and Tesla owners losers stay tuned to the next episode as Elons lawyers prove Twitter has millions of bots and fake users More than it legally said in Elons contr… See more.
Steven PostrelThe incompetence of this bad cut-and-paste article is notable. The S&P 500 is not new, not ESG related, and not dropping Tesla.
There is a separate “S&P 500 ESG” product that is relatively new and that dropped Tesla, but it isn’t the benchmark that a… See more.
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DeepMind has released what it calls a “generalist” AI called Gato, which can play Atari games, accurately caption images, chat naturally with a human and stack coloured blocks with a robot arm, among 600 other tasks. But is Gato truly intelligent – having artificial general intelligence – or is it just an AI model with a few extra tricks up its sleeve?
What is artificial general intelligence (AGI)?
Outside science fiction, AI is limited to niche tasks. It has seen plenty of success recently in solving a huge range of problems, from writing software to protein folding and even creating beer recipes, but individual AI models have limited, specific abilities. A model trained for one task is of little use for another.
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.
Explaining the significance of their neuroprosthetic innovation, project collaborator and UMN neuroscientist Edward Keefer said, “We are well along the way toward allowing upper limb amputees at least, and other people in the future, to have totally natural and intuitive control of their prosthetic devices.” ## THE NEUROPROSTHETIC HAND IS DIFFERENT FROM YOUR REGULAR PROSTHETIC LIMBS
The prosthetic body parts currently available on the market detect shoulder, chest, or muscle movement. They have sensors to recognize signals in specific regions of the human body. Therefore, every time a patient wants to move his hand, he is required to trigger his body muscles. Adapting to such muscle-driven limb movement is not easy for patients, and many such devices are not suitable for physically weak individuals.
Some advanced and efficient muscle-sensitive prosthetics come with complex wiring and other arrangements that make them difficult to use. The amputees have to go through a lot of training to adjust to such devices, which often increases frustration and stress. Now imagine a device that starts working immediately, is less invasive, requires no training, no muscle activation, and no complex setup.
The neuroprosthetic arm enables the patients to move their arms simply at the will of their minds. It is an efficient, easy to use, and a lot more intuitive alternative to any commercial prosthetic system available.