AI-Driven Hardware Testing: Overcoming the Challenges of Modern Hardware Architecture and Power Management

Abstract

 With the rapid development of hardware technology, the diversity of architectures, the complexity of hardware modules, and the growing demand for real-time capabilities, enhanced power management, adaptability, and flexibility all present new challenges. These challenges include managing the complexity of hardware architecture, performance, and energy efficiency, which traditional testing methods struggle to address effectively. To solve these problems, this paper proposes a new standard for integrating Artificial intelligence with hardware test systems. The system can automatically identify key performance indicators according to the hardware characteristics, dynamically adjust the test strategy, optimize the test process, improve efficiency, and ultimately shorten the time to market.