A nonintrusive human-machine interface for controlling extra arms was tested using a neurorobotic platform.
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Researchers from the Human-centric Artificial Intelligence Centre at the University of Technology Sydney have developed a portable, non-invasive system that can turn silent thoughts into text.
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In the realm of computing technology, there is nothing quite as powerful and complex as the human brain. With its 86 billion neurons and up to a quadrillion synapses, the brain has unparalleled capabilities for processing information. Unlike traditional computing devices with physically separated units, the brain’s efficiency lies in its ability to serve as both a processor and memory device. Recognizing the potential of harnessing the brain’s power, researchers have been striving to create more brain-like computing systems.
Efforts to mimic the brain’s activity in artificial systems have been ongoing, but progress has been limited. Even one of the most powerful supercomputers in the world, Riken’s K Computer, struggled to simulate just a fraction of the brain’s activity. With its 82,944 processors and a petabyte of main memory, it took 40 minutes to simulate just one second of the activity of 1.73 billion neurons connected by 10.4 trillion synapses. This represented only one to two percent of the brain’s capacity.
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A group of Spanish researchers have developed a brain-computer interface based on electroencephalograms that allowed a group of 22 users to play a simple multiplayer game. The interface was 94% accurate in translating players’ thoughts into game moves, with each move taking just over 5 seconds. The study was published in Frontiers in Human Neuroscience.
A brain-computer interface is a technology that enables direct communication between the human brain and external devices, such as computers or prosthetic limbs. Brain-computer interfaces work by detecting and interpreting neural signals, typically through electrodes placed on the user’s head. These signals are then translated into actionable commands, allowing individuals to control computers, devices, or applications using their thoughts.
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Scientists have grown a tiny brain-like organoid out of human stem cells, hooked it up to a computer, and demonstrated its potential as a kind of organic machine learning chip, showing it can quickly pick up speech recognition and math predictions.
As incredible as recent advances have been in machine learning, artificial intelligence still lags way behind the human brain in some important ways. For example, the brain happily learns and adapts all day long on an energy budget of about 20 watts, where a comparably powerful artificial neural network needs about 8 million watts to achieve anything remotely comparable.
What’s more, the human brain’s neural plasticity, its ability to grow new nervous tissue and expand existing connective channels, has granted it an ability to learn from noisy, low-quality data streams, with minimal training and energy expenditure. What AI systems accomplish with brute force and massive energy, the brain achieves with an effortless elegance. It’s a credit to the billions of years of high-stakes trial and error that delivered the human brain to the state it’s in today, in which it’s chiefly used to watch vast numbers of other people dancing while we’re on the toilet.
In a world-first, researchers from the GrapheneX-UTS Human-centric Artificial Intelligence Centre at the University of Technology Sydney (UTS) have developed a portable, non-invasive system that can decode silent thoughts and turn them into text.
The technology could aid communication for people who are unable to speak due to illness or injury, including stroke or paralysis. It could also enable seamless communication between humans and machines, such as the operation of a bionic arm or robot.
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Summary: Researchers created a revolutionary system that can non-invasively convert silent thoughts into text, offering new communication possibilities for people with speech impairments due to illnesses or injuries.
The technology uses a wearable EEG cap to record brain activity and an AI model named DeWave to decode these signals into language. This portable system surpasses previous methods that required invasive surgery or cumbersome MRI scanning, achieving state-of-the-art EEG translation performance.
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An exploration of the merging of biology, AI and quantum computing and the spooky implications of it. My Patreon Page: https://www.patreon.com/johnmichaelgodi…
From drivable bionic animals to machines made from muscle, biohybrid robots are on their way to a variety of uses.
The feeling that we belong to something much larger and deeper than ourselves has long been a common human experience. Palaeontologist and Jesuit priest Teilhard de Chardin wrote about “a noosphere” of cognitive realisation evolving towards an “Omega point” of divine planetary spiritualisation. But it is hard to envisage that ever occurring. It is easier to envisage that we belong in an evolving intelligent power that has entered a momentous posthuman dimension though artificial intelligence.
Some futurists believe we are on the way to realising a posthuman world in which we will live on as cyborgs, or in some new embodiment of intelligent power that will absorb and supersede human intelligence. It is no longer fanciful to foresee a future in which we will have everyday interactions with androids that are powered by artificial general intelligence. They will look, move, and seem to think and respond like a human person, be skilled in simulating emotional responses realistically, and greatly out-perform us in mental activities and manual tasks. It may be we will regard them only as tools or mechanical assistants. But from their expression of human-like behaviours we may become attached to them, even to the extent of according them rights. Their design will have to ensure they don’t carry any threat, but will we be able to trust fully that this will remain the case given their technical superiority? And how far can we trust that the military, malicious groups, and rogue states won’t develop androids trained to kill people and destroy property? We know only too well about our human propensity for violent conflict.
It would be ironic if, to gain more power and control over the world, we used our human intelligence to create AI systems and devices which, for all the benefits they bring, end up managing our lives to our detriment, or even controlling us. And irony, as Greek dramatists were well aware, is often a component of fate.
