Intelligence BALA-NET: A Bio-Inspired Adaptive Learning Neuromorphic AI for Real-Time

Authors

  • Melkibson. S Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, India. Author
  • Ashwac Franco Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, India. Author
  • Andrew Jefrin Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, India. Author
  • Gowtham.S Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, India. Author
  • Mohan.M Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, India. Author
  • Rama.S Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0175

Keywords:

Artificial Neural Networks (ANNs), Machine Learning, Edge AI, Neuroplasticity, Self-Learning Systems

Abstract

BALA-NET is a bio-inspired neuromorphic AI system designed for real-time adaptive learning and decision-making. Leveraging principles from neuroscience and next-generation AI, BALA-NET incorporates Dynamic Spike-Timing-Dependent Plasticity Plus (Dynamic STDP+), Hybrid Memory Mechanisms, and Cross-Layer Neural Communication to enhance efficiency, adaptability, and low-power processing. This paper explores its architectural advancements, the integration of quantum neuromorphic AI, Brain-Computer Interfaces (BCI), and self-rewiring AI, along with challenges and future research directions

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Published

2025-04-02

How to Cite

Intelligence BALA-NET: A Bio-Inspired Adaptive Learning Neuromorphic AI for Real-Time. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(04), 1228-1230. https://doi.org/10.47392/IRJAEH.2025.0175

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