Difference between revisions of "Symbiotic Intelligence"

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* [[Symbiotic Intelligence]] ... [[Bio-inspired Computing]] ... [[Neuroscience]] ... [[Connecting Brains]] ... [[Nanobots#Brain Interface using AI and Nanobots|Nanobots]] ... [[Molecular Artificial Intelligence (AI)|Molecular]] ... [[Neuromorphic Computing|Neuromorphic]] ... [[Evolutionary Computation / Genetic Algorithms| Evolutionary/Genetic]]
 
* [[Symbiotic Intelligence]] ... [[Bio-inspired Computing]] ... [[Neuroscience]] ... [[Connecting Brains]] ... [[Nanobots#Brain Interface using AI and Nanobots|Nanobots]] ... [[Molecular Artificial Intelligence (AI)|Molecular]] ... [[Neuromorphic Computing|Neuromorphic]] ... [[Evolutionary Computation / Genetic Algorithms| Evolutionary/Genetic]]
* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]
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* [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]
 
* [https://www.unite.ai/the-future-of-brain-machine-interfaces-symbiotic-intelligence-vs-human-intelligence  The Future of Brain Machine Interfaces: Symbiotic Intelligence vs Human Intelligence | Antoine Tardif - Unite.AI]
 
* [https://www.unite.ai/the-future-of-brain-machine-interfaces-symbiotic-intelligence-vs-human-intelligence  The Future of Brain Machine Interfaces: Symbiotic Intelligence vs Human Intelligence | Antoine Tardif - Unite.AI]
 
* [https://pubmed.ncbi.nlm.nih.gov/34116918 Interface, interaction, and intelligence in generalized brain-computer interfaces | X. Gao, Y. Wang, X. Chen, S. Gao - NIH]
 
* [https://pubmed.ncbi.nlm.nih.gov/34116918 Interface, interaction, and intelligence in generalized brain-computer interfaces | X. Gao, Y. Wang, X. Chen, S. Gao - NIH]

Latest revision as of 19:28, 8 September 2023

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Symbiotic combination of the Internet and humans will result in a significant enhancement of the previously existing, self-organizing social structure of humans. The combination of the unique capabilities of intelligent, distributed information systems (the relatively loss-less transmission and capturing of detailed signatures) with the unique capabilities of humans (processing and analysis of complex, but limited, systems) will enable essential problem solving within our increasingly complex world. The capability may allow solutions that are not achievable directly by individuals, organizations or governments. Symbiotic Intelligence: Self-Organizing Knowledge on Distributed Networks Driven By Human Interaction | N. Johnson, C. Joslyn, S. Rasmussen, L. Rocha, S. Smith - Santa Fe institute (SFI)

Symbiotic Intelligence refers to the concept of Intelligence Amplification via brain machine interfaces (BMI). It is designed to enhance and improve human intelligence with the assistance of AI. The concept is to improve both human decision making and the rapid access to information that humans have in order to enhance the quality of those decisions. This is where BMIs enter the picture, they will enable the enhancement of human cognition far beyond today's version of Augmented Intelligence. Unlike our current access to data that takes place with computers, smart phones, or other devices, a BMI is inherently designed so that the internet, and the AI enabling access to the internet, can be accessed without an external device. The BMI will be implanted inside the human brain and inherently becomes an extension of the human mind¹.

On the other hand, a brain-computer interface (BCI) establishes a direct communication channel between a brain and an external device. With recent advances in neurotechnology and artificial intelligence (AI), the brain signals in BCI communication have been advanced from sensation and perception to higher-level cognition activities².