👉 The selected computing paradigm is a hybrid approach that integrates various computing models, including but not limited to, classical computing, quantum computing, neuromorphic computing, and edge computing, to address specific computational challenges more efficiently. This hybrid model leverages the strengths of each paradigm: classical computing for its reliability and widespread adoption, quantum computing for solving complex problems at unprecedented speeds, neuromorphic computing for mimicking human brain functions and handling real-time data processing, and edge computing for reducing latency by processing data closer to where it is generated. By combining these technologies, the hybrid computing approach aims to optimize performance, reduce energy consumption, and enhance scalability, making it particularly suitable for applications in artificial intelligence, machine learning, and large-scale data analytics where diverse computational needs arise.
