Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems
PaperId: :  26495
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26495
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rajashekar NaiduBangalore University

Abstract

Computer science
Bio-Inspired AI, Machine Learning, Neural Networks, Natural Systems
Bio-inspired AI architectures are designed to mimic the natural processes and structures observed in biological organisms. These architectures are based on the understanding that nature has evolved highly efficient and adaptive systems over millions of years, which can offer valuable insights into the development of next-generation artificial intelligence. This paper explores the key concepts behind bio-inspired AI, focusing on the application of evolutionary algorithms, neural networks, and reinforcement learning in building AI systems. It delves into how these architectures are designed to solve complex problems through adaptive learning, self-organization, and parallel processing, just as biological systems do. The paper highlights successful examples of bio-inspired AI in various domains, such as robotics, healthcare, and environmental modeling. Additionally, it examines the challenges and limitations of implementing bio-inspired models and looks ahead to future directions in the integration of natural principles with artificial intelligence.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Rajashekar Naidu. "Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 659-663
MLA Rajashekar Naidu. "Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 659-663.
APA Rajashekar Naidu. (2025). Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 659-663.
Chicago Rajashekar Naidu. "Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 659-663.
Oxford Rajashekar Naidu. 'Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 659-663. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Bio_Inspired_AI_Architectures__Lessons_from_Nature_for_Building_Next_Generation_Learning_Systems_ijariie26495.pdf (Accessed : ).
Harvard Rajashekar Naidu. (2025) 'Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 659-663IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Bio_Inspired_AI_Architectures__Lessons_from_Nature_for_Building_Next_Generation_Learning_Systems_ijariie26495.pdf (Accessed : )
IEEE Rajashekar Naidu, "Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 659-663, May-Jun 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Bio_Inspired_AI_Architectures__Lessons_from_Nature_for_Building_Next_Generation_Learning_Systems_ijariie26495.pdf [Accessed : ].
Turabian Rajashekar Naidu. "Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Rajashekar Naidu. Bio-Inspired AI Architectures: Lessons from Nature for Building Next-Generation Learning Systems. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 659-663. Available from: http://ijariie.com/AdminUploadPdf/Bio_Inspired_AI_Architectures__Lessons_from_Nature_for_Building_Next_Generation_Learning_Systems_ijariie26495.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
IoT Home Automation: Urban, Rural, and Elderly Care PerspectivesComputer EngineeringNandini KP Download
Securing Data in CloudComputer EngineeringJeevith M Download
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
12