Optimized VLSI Architectures For AI-Enabled IoT Systems

The integration of AI in IoT has revolutionized industries through the development of intelligent decision-making and automation. However, the deployment of AI is limited by the power, computational capacity, and cost of IoT devices. VLSI architectures help to meet these challenges through compact, low power consumption, and high-performance hardware solutions. This paper focuses on the advancements in VLSI architectures for AI in IoT, low-power design techniques, hardware accelerators, neuromorphic computing, and approximate computing. The challenges, design considerations, and future trends are discussed to present a comprehensive understanding of how VLSI enables efficient and intelligent IoT systems.