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Neuralink's brain-computer interface demo shows a monkey playing Pong


Elon Musk's last update on Neuralink -- his company that is working on technology that will connect the human brain directly to a computer -- featured a pig with one of its chips implanted in its brain. Now Neuralink is demonstrating its progress by showing a Macaque with one of the Link chips playing Pong. At first using "Pager" is shown using a joystick, and then eventually, according to the narration, using only its mind via the wireless connection. Monkey plays Pong with his mind Today we are pleased to reveal the Link's capability to enable a macaque monkey, named Pager, to move a cursor on a computer screen with neural activity using a 1,024 electrode fully-implanted neural recording and data transmission device, termed the N1 Link.

Do We Have Free Will? Maybe It Doesn't Matter - Facts So Romantic


Belief is a special kind of human power. Agustin Fuentes, an anthropologist at the University of Notre Dame, eloquently claims as much in his recent book Why We Believe: Evolution and the Human Way of Being. It's the "most prominent, promising, and dangerous capacity humanity has evolved," he writes, the power to "see and feel and know something--an idea, a vision, a necessity, a possibility, a truth--that is not immediately present to the senses, and then to invest, wholly and authentically, in that'something' so that it becomes one's reality." A great example of this is the widespread and intuitive idea that we have free will. Most people grow up with the notion that they are, in some sense, responsible for their thoughts and actions because, unlike animals, humans can think about their choices.

Children with low attention are more likely to develop mental health conditions in adulthood

Daily Mail - Science & tech

Children who struggle with memory issues and have a poor attention span are more likely to develop mental health conditions when they become adults, study shows. Researchers from the University of Birmingham analysed data from a cohort of 13,988 individuals born in 1991 and 1992 and re-examined over decades. They set out to look for any links between childhood cognitive problems such as lack of control and memory issues, and later life mental health conditions. They found that poor attention span in eight year olds could lead to depression at 18, and memory problems at ten could lead to hypomania when they are 22 years old. Targeting specific markers in childhood for early treatment may help to minimise the risk of developing certain psychopathological problems later in life.

Approval granted for clinical trials of an AI THERAPIST and psychedelic drugs

Daily Mail - Science & tech

A treatment that combines an artificial intelligence therapist with psychedelic drugs to treat depression and addiction has been approved for clinical trials. Life science firm atai and digital therapeutics specialist Psyber are working on a brain computer interface (BCI) based around an electroencephalogram (EEG). The system will allow for the automated monitoring and assessment of patients who have been prescribed psychedelic drugs to treat mental health conditions. The device will record electrical activity in the brain for real-time interpretation of emotional, behavioural, and mental states, providing the patient with live feedback. Dr Srinivas Rao, Co-founder and Chief Scientific Officer at atai told MailOnline the goal was to democratise therapy and provide direct, and instant treatment to people in rural locations that may not have access to a licensed psychiatrist.

Scientists connect human brain to computer wirelessly for first time ever


The first wireless commands to a computer have been demonstrated in a breakthrough for people with paralysis. The system is able to transmit brain signals at "single-neuron resolution and in full broadband fidelity", say researchers at Brown University in the US. A clinical trial of the BrainGate technology involved a small transmitter that connects to a person's brain motor cortex. Trial participants with paralysis used the system to control a tablet computer, the journal IEEE Transactions on Biomedical Engineering reports. The participants were able to achieve similar typing speeds and point-and-click accuracy as they could with wired systems.

World's first wireless brain-computer interface is successfully tested on the human brain

Daily Mail - Science & tech

The first wireless brain-computer interface (BCI) system is not only giving people with paralysis the ability to type on computer screens with their minds, but the innovation is also giving them freedom to do so anywhere. Traditional BCIs are tethered to a large transmitter with long cables, but a team from Brown University has cut the cords and replaced them with a small transmitter that sits atop the user's head. The redesigned equipment is just two inches in diameter and connects to an electrode array within the brain's motor cortex by means of the same port used by wired systems. The trials, dubbed BrainGate,' showed two men paralyzed by spinal injuries were able to type and click on a tablet just by thinking of the action, and did so with similar point-and-click accuracy and typing speeds as those with a wired system. A participant in the BrainGate clinical trial uses wireless transmitters that replace the cables normally used to transmit signals from sensors inside the brain.

Mind Control Technology - Risk Group


Prof. Newton Howard, a Brain and Cognitive Scientist, the former Director of the MIT Mind Machine Project at the Massachusetts Institute of Technology and currently a Professor of Computational Neuroscience and Functional Neurosurgery at the University of Oxford, where he directs the Oxford Computational Neuroscience Laboratory participates in Risk Roundup to discuss "Mind Control Technology". Since the beginning of times, we humans have been creating tools to help us interact with the world around us. Now we are moving inwards and developing the tools to help us communicate with the world inside us. While the nature of tools has evolved from physical to digital, and now neural, our brain is effectively becoming the tool for interaction, communication, collaboration, and control. From electrode in many different shapes being implanted in the human brain to transmit and receive signals to non-invasive devices that translate brain waves into commands that control not only computer but also body parts are already becoming a reality.

The Trouble with Brain Scans - Issue 98: Mind


One autumn afternoon in the bowels of UC Berkeley's Li Ka Shing Center, I was looking at my brain. I had just spent 10 minutes inside the 3 Tesla MRI scanner, the technical name for a very expensive, very high maintenance, very magnetic brain camera. Lying on my back inside the narrow tube, I had swallowed my claustrophobia and let myself be enveloped in darkness and a cacophony of foghorn-like bleats. At the time I was a research intern at UC Berkeley's Neuroeconomics Lab. That was the first time I saw my own brain from an MRI scan. It was a grayscale, 3-D reconstruction floating on the black background of a computer screen. As an undergraduate who studied neuroscience, I was enraptured. There is nothing quite like a young scientist's first encounter with an imaging technology that renders the hitherto invisible visible--magnetic resonance imaging took my breath away. I felt that I was looking not just inside my body, but into the biological recesses of my mind. It was a strange self-image, if indeed it was one.

The Unbearable Shallowness of "Deep AI"


Since people invented writing, communications technology has become steadily more high-bandwidth, pervasive and persuasive, taking a commensurate toll on human attention and cognition. In that bandwidth war between machines and humans, the machines' latest weapon is a class of statistical algorithm dubbed "deep AI." This computational engine already, at a stroke, conquered both humankind's most cherished mind-game (Go) and our unconscious spending decisions (online). This month, finally, we can read how it happened, and clearly enough to do something. But I'm not just writing a book review, because the interaction of math with brains has been my career and my passion. Plus, I know the author. So, after praising the book, I append an intellectual digest, debunking the hype in favor of undisputed mathematical principles governing both machine and biological information-processing systems. That makes this article unique but long. "Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World" is the first book to chronicle the rise of savant-like artificial intelligence (AI), and the last we'll ever need. Investigative journalist Cade Metz lays out the history and the math through the machines' human inventors. The title, "Genius Makers," refers both to the genius-like brilliance of the human makers of AI, as well as to the genius-like brilliance of the AI programs they create. Of all possible AIs, the particular flavor in the book is a class of data-digestion algorithms called deep learning. Metz's book is a ripping good read, paced like a page-turner prodding a reader to discover which of the many genius AI creators will outflank or outthink the others, and how. Together, in collaboration and competition, the computer scientists Metz portrays are inventing and deploying the fastest and most human-impacting revolution in technology to date, the apparently inexorable replacement of human sensation and choice by machine sensation and choice. This is the story of the people designing the bots that do so many things better than us.

Artificial intelligence approaches human intellectuality.


Even if there has been a lot of development in artificial intelligence, the human brain is the most complex and dynamic knowledge processing to date. There is a significant lag time-period when new and accurate knowledge becomes accessible and when used artificial intelligence systems are updated. Still, it is not needed for newly generated and newly built artificial intelligence systems to be retrained. Now, the Cambridge, Massachusetts-based company Nara Logics, which a 2010 MIT graduate created, is working to advance artificial intelligence by focusing on the functionality of the brain. New developments in neuroscience are used in artificial intelligence to imitate the circuit work and simulate it correctly.