Difference between revisions of "Bio-inspired Computing"

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** [https://www.sciencedirect.com/science/article/pii/S0020019015001507 Flower Pollination Algorithm | R. Wang, Y. Zhou, S. Qiao and K. Huang]
 
** [https://www.sciencedirect.com/science/article/pii/S0020019015001507 Flower Pollination Algorithm | R. Wang, Y. Zhou, S. Qiao and K. Huang]
 
* [https://en.wikipedia.org/wiki/Biodegradability_prediction Biodegradability Prediction | Wikipedia]
 
* [https://en.wikipedia.org/wiki/Biodegradability_prediction Biodegradability Prediction | Wikipedia]
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* [[Neuroscience]] - brain architecture - Cognitive Brain Function (Neurons) - [[Artificial Neural Network (ANN)]]
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* [[Neuroscience]] - brain architecture - Cognitive Brain Function (Neurons) - [[Neural Network]]
 
* Cells
 
* Cells
 
** [https://en.wikipedia.org/wiki/P_system Cell Membrane | Wikipedia]
 
** [https://en.wikipedia.org/wiki/P_system Cell Membrane | Wikipedia]

Revision as of 14:47, 9 May 2023

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Bio-inspired Computing is a subset of metaphor-based metaheuristics

The world of AI has a lot of things around it to thank for its existence in our technological landscape of today. Not only have humans spent decades of research perfecting the mathematical calculations to make these wonderfully complex learning algorithms work but during this time we have looked further than our own species as inspiration to make the next generation of intelligent presence on our planet. Mother Nature, and all that it encompasses, has it’s roots firmly planted in the workings of Artificial Intelligence — and it’s here to stay. 5 Ways mother nature inspires artificial intelligence | Luke James - Towards Data Science



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