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AI-based model streams intelligible speech from the brain in real time
« This work solves the long-standing challenge of latency in speech neuroprostheses, the time lag between when a subject attempts to speak and when sound is produced. Using recent advances in artificial intelligence-based modeling, the researchers developed a streaming method that synthesizes brain signals into audible speech in near-real time. »
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Elon Musk wants to merge humans with AI. | vox
Neuralink has implanted a chip in its first human brain. But it’s pushing a needlessly risky approach, former employees say. Image: Xinmei Liu for Vox Source: Elon Musk wants to merge humans with AI. How many brains will be damaged along the way? The article addresses ethical concerns vs. rate of technological advances, i.e. ‘bandwidth’ picked up by a maximum possible number of ‘neuronal…
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neuro*pros*thesis ... "posthuman management matrix" and/or the *fifth quadrant* in the Internet of Everyone?
https://www.academia.edu/26189630/The_Posthuman_Management_Matrix_Understanding_the_Organizational_Impact_of_Radical_Biotechnological_Convergence the_handbook_of_information_security_forDownload https://www.academia.edu/14633078/The_Handbook_of_Information_Security_for_Advanced_Neuroprosthetics posthuman_management_creating_effectiveDownload https://www.academia.edu/26196664/Sapient_Circuits_…
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New brain reading technology could help the development of brainwave-controlled devices Researchers have developed a new method to record brain activity at scale. The new technique could help in the development of new neuroprosthetic devices to help amputees and those with movement restricting neurological conditions.
Decoding hidden brain chatter to advance neuroprostheses
Neural activity patterns for limb movements remain stable over time. Researchers were able to record, decode, and reconstruct activity patterns from common movement skills. The findings could have immediate implications for the development of neuroprosthetics that can bypass brain injuries by inferring intended motor actions from a person’s brain.
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Reinforcement Learning Expedites 'Tuning' of Robotics Prosthetics
Researchers have developed an intelligent system for "tuning" powered prosthetic knees, allowing patients to walk comfortably with the prosthetic device in minutes, rather than the hours necessary if the device is tuned by a trained clinical practitioner.
The system is the first to rely solely on reinforcement learning to tune the robotic prosthesis.
The research is in IEEE Transactions on Cybernetics. (full access paywall)
New Techniques Show Prosthetics Users Rely on Intact Limb
Researchers have used new techniques to show that people with artificial arms and hands rely heavily on their intact limbs.
The research is in Scientific Reports. (full open access)
Artificial Nerve System Gives Prosthetic Devices and Robots a Sense of Touch
Researchers have developed an artificial sensory nerve system that can activate the twitch reflex in a cockroach and identify letters in the Braille alphabet.
The research is in Science. (full access paywall)
