Machine Learning (ML) has touched all corners of human life and industry. Databased learning intelligence supports are the scalability of present technology and architecture. The current ML and deep learning (DL) algorithms require huge consumption of data and power. The industry is looking for an efficient VLSI circuit that can meet the demands of the AI-ML-DL universe. ML can pioneer different sectors throughout design methodologies from RTL design, synthesis, and verification. One of the deepest challenges of chip design is the time-consuming iterative process. Thanks to the learning model, time is considerably reduced. VLSI-based solutions and innovation of AI-ML-DL applications are growing in demand. Internet of Things–based solutions address the various challenges in society that require chips. This new book covers the latest AI/ML techniques, VLSI chip design, and systems to address societal challenges.