Difference between revisions of "Molecular Artificial Intelligence (AI)"
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| − | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
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[http://www.youtube.com/results?search_query=molecular+DNA+nanotech+robot+neural+network+artificial+intelligence YouTube search...] | [http://www.youtube.com/results?search_query=molecular+DNA+nanotech+robot+neural+network+artificial+intelligence YouTube search...] | ||
[http://www.google.com/search?q=molecular+DNA+nanotech+robot+neural+network+deep+machine+learning+ML+artificial+intelligence ...Google search] | [http://www.google.com/search?q=molecular+DNA+nanotech+robot+neural+network+deep+machine+learning+ML+artificial+intelligence ...Google search] | ||
| − | * [[Connecting Brains]] | + | * [[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]] |
| − | * [ | + | * [http://scitechdaily.com/are-scientists-being-fooled-by-bacteria-new-machine-learning-algorithm-reveals-the-truth-about-dna/ Are Scientists Being Fooled by Bacteria? New Machine Learning Algorithm Reveals the Truth About DNA | The Mount Sinai Hospital] |
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From bacteria following simple chemical gradients1 to the brain distinguishing complex odour information2, the ability to recognize molecular patterns is essential for biological organisms. This type of information-processing function has been implemented using DNA-based neural networks. * [http://www.nature.com/articles/s41586-018-0289-6 Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks | California Institute of Technology - Cherry, K., Qian, L.], 4 July 2018 | From bacteria following simple chemical gradients1 to the brain distinguishing complex odour information2, the ability to recognize molecular patterns is essential for biological organisms. This type of information-processing function has been implemented using DNA-based neural networks. * [http://www.nature.com/articles/s41586-018-0289-6 Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks | California Institute of Technology - Cherry, K., Qian, L.], 4 July 2018 | ||
| − | + | http://scitechdaily.com/images/DNA-Genetics.gif | |
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<youtube>V2d1U4AyDPw</youtube> | <youtube>V2d1U4AyDPw</youtube> | ||
<youtube>DfB8vQokr0Q</youtube> | <youtube>DfB8vQokr0Q</youtube> | ||
Latest revision as of 06:24, 2 July 2023
YouTube search... ...Google search
- Symbiotic Intelligence ... Bio-inspired Computing ... Neuroscience ... Connecting Brains ... Nanobots ... Molecular ... Neuromorphic ... Evolutionary/Genetic
- Are Scientists Being Fooled by Bacteria? New Machine Learning Algorithm Reveals the Truth About DNA | The Mount Sinai Hospital
From bacteria following simple chemical gradients1 to the brain distinguishing complex odour information2, the ability to recognize molecular patterns is essential for biological organisms. This type of information-processing function has been implemented using DNA-based neural networks. * Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks | California Institute of Technology - Cherry, K., Qian, L., 4 July 2018
