Difference between revisions of "Bio-inspired Computing"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=Biologically+Bio+inspired+machine+learning+ML+AI YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=Biologically+Bio+inspired+machine+learning+ML+AI ...Google search] |
* [[History of AI]] | * [[History of AI]] | ||
| Line 16: | Line 16: | ||
* [[Other Challenges]] in Artificial Intelligence | * [[Other Challenges]] in Artificial Intelligence | ||
* [[AI Solver]] | * [[AI Solver]] | ||
| − | * [ | + | * [https://www.sciencealert.com/ai-experiment-generated-40-000-hypothetical-bioweapons-in-6-hours-scientists-warn An AI Experiment Generated 40,000 Hypothetical Bioweapons in Just 6 Hours | David Nield - Science Alert] |
| − | [ | + | [https://en.wikipedia.org/wiki/Bio-inspired_computing Bio-inspired Computing] is a subset of [https://en.wikipedia.org/wiki/List_of_metaphor-based_metaheuristics 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. [ | + | 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. [https://towardsdatascience.com/5-ways-mother-nature-inspires-artificial-intelligence-2c6700bb56b6 5 Ways mother nature inspires artificial intelligence | Luke James - Towards Data Science] |
| − | + | https://cdn-images-1.medium.com/max/800/1*a4vWumZe1mE7QfeCbEu3jQ.png | |
| − | * [ | + | * [https://www.cleveralgorithms.com/nature-inspired/swarm/bfoa.html Bacterial Foraging Optimization Algorithm | Jason Brownlee] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Bat_algorithm Bat algorithm | Wikipedia] |
* Bees | * Bees | ||
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Artificial_bee_colony_algorithm (Artificial) Bee Colony Algorithm | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Bees_algorithm Bees Algorithm | Wikipedia] |
| − | ** [ | + | ** [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] |
* [[Neuroscience]] - brain architecture - Cognitive Brain Function (Neurons) - [[Artificial Neural Network (ANN)]] | * [[Neuroscience]] - brain architecture - Cognitive Brain Function (Neurons) - [[Artificial Neural Network (ANN)]] | ||
* Cells | * Cells | ||
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/P_system Cell Membrane | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Cellular_automaton Cellular Automaton | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Cellular_evolutionary_algorithm Cellular evolutionary algorithm | Wikipedia] |
| − | * [ | + | * [https://www.simplypsychology.org/pavlov.html Classical/Pavlov Conditioning] - [[Reinforcement Learning (RL)]] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Cuckoo_search Cuckoo Search | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/User_talk:Cuttlefish_Optimization_Algorithm Cuttlefish Optimization Algorithm | Wikipedia] |
| − | * [ | + | * [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3062985/ Epidemiology of Infectious Disease (networks) | L. Danon, A.P. Ford, T. House, C.P. Jewell, M. Keeling, G.O. Roberts, J.V. Ross, and M.C. Vernon] |
* Collective Animal Intelligence: | * Collective Animal Intelligence: | ||
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Flocking_(behavior) Flocking (birds) | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Ant_colony_optimization_algorithms Ant Colony Optimization Algorithms (insects) | Wikipedia] |
| − | ** [ | + | ** [https://www.nextgov.com/emerging-tech/2019/01/darpa-thinks-insect-brains-might-hold-secret-next-gen-ai/154040/ DARPA Thinks Insect Brains Might Hold the Secret to Next-Gen AI (insects) | Nextgov] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Swarm_intelligence Swarm intelligence (insects) | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Particle_swarm_optimization Particle Swarm Optimization | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Shoaling_and_schooling Shoaling & Schooling (fish) | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Herd_behavior Herd Behavior (land animals) | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Evolution_strategy Evolution Strategy | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Excitable_medium Excitable Media; forest fires, "the wave", heart conditions, axons | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Firefly_algorithm Firefly Algorithm | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Fish_School_Search Fish School Search | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Fly_algorithm Fly Algorithm | Wikipedia] |
| − | * [ | + | * [https://irphouse.com/ijee/ijeev5n6_16.pdf {Leaping} Frog | R. Shivakumar, P.Tamilarasu and M.Panneerselvam] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Genetic_algorithm Genetic Algorithm | Wikipedia] - Survival of the Fittest/Evolution |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Chromosome_(genetic_algorithm) Chromosome (genetic algorithm) | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Mutation_(genetic_algorithm) Mutation | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Inheritance_(genetic_algorithm) Inheritance | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Grafting_(decision_trees) Grafting (decision trees) | Wikipedia] |
* [[(Artificial) Immune System]] | * [[(Artificial) Immune System]] | ||
| − | * [ | + | * [https://www.sciencedirect.com/science/article/pii/B9780124051638000168 (Artificial) Plant Optimization Algorithm | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/L-system Plant Structures | Wikipedia] |
| − | * [ | + | * [https://en.wikipedia.org/wiki/Wireless_sensor_network Sensory Organs | Wikipedia] |
| − | ** [ | + | ** [https://www.amazon.com/gp/product/0547678592 Connectome: How the Brain's Wiring Makes Us Who We Are | Sebastian Seung] |
<youtube>ey9eF7GX3BM</youtube> | <youtube>ey9eF7GX3BM</youtube> | ||
Revision as of 02:36, 28 March 2023
YouTube search... ...Google search
- History of AI
- Case Studies
- Defense
- Lifelong Learning - Catastrophic Forgetting Challenge
- Evolutionary Computation / Genetic Algorithms
- Connecting Brains
- Other Challenges in Artificial Intelligence
- AI Solver
- An AI Experiment Generated 40,000 Hypothetical Bioweapons in Just 6 Hours | David Nield - Science Alert
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
- Bacterial Foraging Optimization Algorithm | Jason Brownlee
- Bat algorithm | Wikipedia
- Bees
- Biodegradability Prediction | Wikipedia
- Neuroscience - brain architecture - Cognitive Brain Function (Neurons) - Artificial Neural Network (ANN)
- Cells
- Classical/Pavlov Conditioning - Reinforcement Learning (RL)
- Cuckoo Search | Wikipedia
- Cuttlefish Optimization Algorithm | Wikipedia
- Epidemiology of Infectious Disease (networks) | L. Danon, A.P. Ford, T. House, C.P. Jewell, M. Keeling, G.O. Roberts, J.V. Ross, and M.C. Vernon
- Collective Animal Intelligence:
- Flocking (birds) | Wikipedia
- Ant Colony Optimization Algorithms (insects) | Wikipedia
- DARPA Thinks Insect Brains Might Hold the Secret to Next-Gen AI (insects) | Nextgov
- Swarm intelligence (insects) | Wikipedia
- Particle Swarm Optimization | Wikipedia
- Shoaling & Schooling (fish) | Wikipedia
- Herd Behavior (land animals) | Wikipedia
- Evolution Strategy | Wikipedia
- Excitable Media; forest fires, "the wave", heart conditions, axons | Wikipedia
- Firefly Algorithm | Wikipedia
- Fish School Search | Wikipedia
- Fly Algorithm | Wikipedia
- {Leaping} Frog | R. Shivakumar, P.Tamilarasu and M.Panneerselvam
- Genetic Algorithm | Wikipedia - Survival of the Fittest/Evolution
- Grafting (decision trees) | Wikipedia
- (Artificial) Immune System
- (Artificial) Plant Optimization Algorithm | Wikipedia
- Plant Structures | Wikipedia
- Sensory Organs | Wikipedia
