Neuromorphic Computing: Exploring Brain-Inspired Architectures for AI Acceleration
DOI:
https://doi.org/10.63345/Keywords:
Neuromorphic computing, AI acceleration, brain-inspired architecture, spiking neural networks, energy-efficient computingAbstract
Neuromorphic computing represents a paradigm shift in artificial intelligence (AI) acceleration, drawing inspiration from the structure and functionality of biological brains. Unlike traditional von Neumann architectures, neuromorphic systems leverage parallelism, event-driven processing, and energy-efficient computation, mimicking neural networks' real-time adaptability. This paper explores the evolution of neuromorphic computing, covering key hardware implementations, software frameworks, and potential applications in AI. We discuss various neuromorphic processors, including IBM’s TrueNorth, Intel’s Loihi, and SpiNNaker, and their role in advancing AI. The results indicate that neuromorphic architectures significantly outperform conventional processors in energy efficiency and computational speed for AI-related tasks. However, limitations such as programming complexity and scalability challenges persist. The study concludes that neuromorphic computing holds immense promise in revolutionizing AI acceleration, with future research directed toward optimizing hardware, software co-design, and broader real-world applications.Downloads
References
1. Mehra, A., & Singh, S. P. (2024). Event-driven architectures for real-time error resolution in high-frequency trading systems. International Journal of Research in Modern Engineering and Emerging Technology, 12(12), 671. https://www.ijrmeet.org
2. Krishna Gangu, Prof. (Dr) Sangeet Vashishtha. (2024). AI-Driven Predictive Models in Healthcare: Reducing Time-to-Market for Clinical Applications. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 854–881. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/161
3. Sreeprasad Govindankutty, Anand Singh. (2024). Advancements in Cloud-Based CRM Solutions for Enhanced Customer Engagement. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 583–607. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/147
4. Samarth Shah, Sheetal Singh. (2024). Serverless Computing with Containers: A Comprehensive Overview. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 637–659. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/149
5. Varun Garg, Dr Sangeet Vashishtha. (2024). Implementing Large Language Models to Enhance Catalog Accuracy in Retail. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 526–553. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/145
6. Gupta, Hari, Gokul Subramanian, Swathi Garudasu, Dr. Priya Pandey, Prof. (Dr.) Punit Goel, and Dr. S. P. Singh. 2024. Challenges and Solutions in Data Analytics for High-Growth Commerce Content Publishers. International Journal of Computer Science and Engineering (IJCSE) 13(2):399-436. ISSN (P): 2278–9960; ISSN (E): 2278–9979.
7. Vaidheyar Raman, Nagender Yadav, Prof. (Dr.) Arpit Jain. (2024). Enhancing Financial Reporting Efficiency through SAP S/4HANA Embedded Analytics. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 608–636. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/148
8. Antara, E. F., Khan, S., & Goel, O. (2021). Automated monitoring and failover mechanisms in AWS: Benefits and implementation. International Journal of Computer Science and Programming, 11(3), 44–54.
9. Chinta, U., Goel, O., & Jain, S. (2023). Enhancing platform health: Techniques for maintaining optimizer, event, security, and system stability in Salesforce. International Journal for Research Publication and Seminar, 14(4).
10. Dandu, M. M. K., Jain, J., Vijayabaskar, S., Goel, P., Shivarudra, A., & Bhatt, S. (2024). Assessing the impact of data imbalance on the predictive performance of machine learning models. In 2024 7th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 1062–1068). IEEE.
11. Garudasu, S., Jena, R., Vadlamani, S., Kumar, L., Goel, P., Singh, S. P., & Goel, O. (2022). Enhancing Data Integrity and Availability in Distributed Storage Systems: The Role of Amazon S3 in Modern Data Architectures. International Journal of Applied Mathematics & Statistical Sciences, 11(2), 291–306.
12. Goel, P., Rajakumar, J., & Thason, M. (2025). Integrating DevOps Practices in AI-Driven User Interfaces: Streamlining Development, Deployment, and User Experience Optimization. Universal Research Reports, 12(2), 19.
13. Gupta, A. K., Govindankutty, S., Nandyala, A. R., Maria Thason, J. R., Pippal, S., & Gupta, G. K. (2025). AI-Driven Test Automation for Big Data Systems in Cloud Environments. In 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT) (pp. 1354–1359). IEEE. https://doi.org/10.1109/CE2CT64011.2025.10941644
14. Hasanain, M., Singh, V. K., Rathore, S. S., Meena, V. S., Meena, S. K., Shekhawat, K., Singh, R. K., Dwivedi, B. S., Bhatia, A., & Upadhyay, P. K. (2025). Sustainable strategies in maize-wheat systems: Integrating tillage, residue, and nutrient management for food-energy-carbon footprint optimization. Renewable and Sustainable Energy Reviews, 115316.
15. Kendyala, S. H., Agarwal, N., Chamarthy, S. S., Goel, P., & Jain, A. (2024). Leveraging OAuth and OpenID Connect for Enhanced Security in Financial Services. International Journal of Research in Modern Engineering and Emerging Technology, 12(6), 16.
16. Khan, I., Vadlamani, S., Kumar, A., Goel, O., Jain, S., & Agarwal, R. (2022). Impact of Massive MIMO on 5G Network Coverage and User Experience. International Journal of Applied Mathematics & Statistical Sciences, 11(1).
17. Kumar, L., & Thason, J. R. M. (2025). Containerization in Modern Software Architectures: Optimizing Scalability, Portability, and Resource Efficiency. International Journal for Research Publication and Seminar, 16(2), 163–181. https://doi.org/10.36676/jrps.v16.i2.262
18. Maria Thason, J. R., & Prasad, M. S. R. (2025). Bridging the Gap: Integrating Security into DevOps Practices for Enhanced Software Delivery and Risk Mitigation. International Journal of Research in Modern Engineering & Emerging Technology, 13(5), 1–22. https://doi.org/10.63345/ijrmeet.org.v13.i5.130501
19. Maria Thason, J. R., & Rastogi, D. D. (2025). Orchestrating Complex Release Pipelines in DevOps: Strategies for Managing Dependencies, Automation, and Continuous Delivery. Journal of Quantum Science and Technology, 2(2), 6–28. https://doi.org/10.63345/jqst.v2i2.292
20. Rajakumar Maria Thason, J., & Solanki, S. (2025). Automated Canary Deployments in Continuous Delivery: Balancing Speed and Reliability. International Journal of Enhanced Research in Science, Technology & Engineering, 14(4), 426–448.
21. Ramachandran, R., Nadukuru, S., Dave, S. A., Goel, O., Jain, A., & Kumar, L. (2022). Streamlining Multi-System Integrations Using Oracle Integration Cloud (OIC). International Journal of Progressive Research in Engineering Management and Science, 2(1), 54–69.
22. Sengar, H. S., Kankanampati, P. K., Tangudu, A., Jain, A., Goel, O., & Kumar, L. (2021). Architecting Effective Data Governance Models in a Hybrid Cloud Environment. International Journal of Progressive Research in Engineering Management and Science, 1(3), 38–51.
23. Thason, J. R. M., & Singh, R. K. (2025). Measuring DevOps Success with the DORA Metrics: A Comprehensive Analysis of Key Performance Indicators and Their Impact on Software Delivery. International Journal of Creative Research Thoughts, 13(5), i341–i358. https://ijcrt.org/papers/IJCRT2505957.pdf
24. Vadlamani, S., Alahari, J., Ayyagari, A., Goel, P., Jain, A., & Shrivastav, A. (2023). Optimizing Data Integration Across Disparate Systems with Alteryx and Informatica. International Journal of General Engineering and Technology, 12(2), 1.
25. Dharuman, Narrain Prithvi, Aravind Sundeep Musunuri, Viharika Bhimanapati, S. P. Singh, Om Goel, and Shalu Jain. “The Role of Virtual Platforms in Early Firmware Development.” International Journal of Computer Science and Engineering (IJCSE) 12(2):295–322. https://doi.org/ISSN2278–9960.
