https://pubmed.ncbi.nlm.nih.gov/37009773/
This ish really Cheaper, Better and Faster towards total excellence
This ish really Cheaper, Better and Faster towards total excellence
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Organoid Intelligence...forget about AI...meet the new Hybrid AI that is enabled by Live Brain Cell with 100x more power efficient than Si Chip
- Thread starter k1976
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Organoid intelligence (OI) is an emerging field of study in computer science and biology that develops and studies biological computing using 3D cultures of human brain cells (or brain organoids) and brain-machine interface technologies.[1] Such technologies may be referred to as OIs.
Human brain organoid
Organoid intelligence (OI) action plan and research trajectories
Human brain organoid
_action_plan_and_research_trajectories.jpg "Organoid intelligence (OI) action plan and research trajectories")
Organoid intelligence (OI) action plan and research trajectories
https://www.nature.com/collections/...masoXwOfP41PIMx9NwU8hUjTTKoB9BXRoCJRUQAvD_BwE
Even published in Nature before..
Even published in Nature before..
https://www.frontiersin.org/journal...noid-intelligence-a-new-biocomputing-frontier
Biological computing (or biocomputing) could be faster, more efficient, and more powerful than silicon-based computing and artificial intelligence, and only require a fraction of the energy.
‘Organoid intelligence’ (OI) describes an emerging multidisciplinary field working to develop biological computing using 3D cultures of human brain cells (brain organoids) and brain-machine interface technologies.
OI requires scaling up current brain organoids into complex, durable 3D structures enriched with cells and genes associated with learning, and connecting these to next-generation input and output devices and AI/machine learning systems.
OI requires new models, algorithms, and interface technologies to communicate with brain organoids, understand how they learn and compute, and process and store the massive amounts of data they will generate.
OI research could also improve our understanding of brain development, learning, and memory, potentially helping to find treatments for neurological disorders like dementia.
Ensuring organoid intelligence develops in an ethically and socially responsive manner requires an ‘embedded ethics’ approach where interdisciplinary and representative teams of ethicists, researchers, and members of the public identify, discuss, and analyze ethical issues and feed these back to inform future research and work.
Biological computing (or biocomputing) could be faster, more efficient, and more powerful than silicon-based computing and artificial intelligence, and only require a fraction of the energy.
‘Organoid intelligence’ (OI) describes an emerging multidisciplinary field working to develop biological computing using 3D cultures of human brain cells (brain organoids) and brain-machine interface technologies.
OI requires scaling up current brain organoids into complex, durable 3D structures enriched with cells and genes associated with learning, and connecting these to next-generation input and output devices and AI/machine learning systems.
OI requires new models, algorithms, and interface technologies to communicate with brain organoids, understand how they learn and compute, and process and store the massive amounts of data they will generate.
OI research could also improve our understanding of brain development, learning, and memory, potentially helping to find treatments for neurological disorders like dementia.
Ensuring organoid intelligence develops in an ethically and socially responsive manner requires an ‘embedded ethics’ approach where interdisciplinary and representative teams of ethicists, researchers, and members of the public identify, discuss, and analyze ethical issues and feed these back to inform future research and work.
Humans are developing technology to make themselves extinct
Ending all problem in one go. Good Thinking
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