Book Title: Intelligent Systems
Editors: Dr. S.C. Vettivel, Dr. Leema Nelson and Dr. D. Poornima
ISBN: 978-81-979197-4-9
Chapter: 1
DOI: https://doi.org/10.59646/isc1/259
Authors:
Shanmugha Priya R K, Assistant Professor (Sr. G.), Department of Computer Science and Engineering, Jai Shriram Engineering College, Avinasipalayam, Tirupur, Tamil Nadu, India.
Praveena R. Assistant Professor, Department of Computer Science and Engineering, Tamil Nadu College of Engineering, Karumathampatti, Coimbatore, Tamil Nadu, India.
Abstract
Neuromorphic computing is a transformative approach to computational design that seeks to replicate the architecture and functionality of the human brain within electronic systems. Unlike traditional computing systems, which rely on sequential processing and fixed pathways for data flow, neuromorphic systems emulate the brain’s highly parallel processing capabilities. This approach offers significant enhancements in computational speed, energy efficiency, and adaptability, making neuromorphic computing a promising solution for addressing the limitations of conventional computing architectures. Developing scalable and reliable neuromorphic hardware is a primary challenge, as current systems capture only a fraction of the complexity and efficiency of the human brain. Additionally, the development of software tools and algorithms that can effectively leverage the unique capabilities of neuromorphic hardware is critical for realizing the full potential of this technology. Moreover, integrating neuromorphic systems with existing computing infrastructure presents challenges in terms of compatibility and interoperability. Addressing the challenges in hardware development, software design, and system integration will require interdisciplinary collaboration, innovations in materials science, and the development of ethical guidelines to navigate the societal implications of this transformative technology. As the field continues to evolve, neuromorphic computing has the potential to not only transform how we approach computing but also to fundamentally change how we interact with technology in our daily lives.