Energy-Efficient Intelligent Computing Architectures for Next-Generation Electronic Devices

Abstract

The rapid evolution of next-generation electronic devices has increased the demand for high-performance computing under strict energy constraints. Intelligent computing architectures that integrate artificial intelligence and adaptive processing capabilities offer significant advantages in optimizing power consumption while maintaining system performance. This paper examines energy-efficient intelligent computing architectures designed for next-generation electronic devices. Key architectural strategies such as low-power processors, hardware acceleration, edge intelligence, and adaptive power management are discussed. The study highlights how intelligent architectures reduce energy consumption, enhance computational efficiency, and support sustainable electronic system design. The findings emphasize the importance of energy-aware intelligent computing in enabling scalable, high-performance, and environmentally responsible electronic devices.