The book discusses the growing intersection of Artificial Intelligence (AI) and chemistry, highlighting how AI is transforming various chemical research areas. It covers fundamental AI concepts like machine learning (ML) and deep learning, explain data management techniques crucial for chemical data, and explore the application of AI in fields such as computational chemistry, drug discovery, materials science, chemoinformatics, spectroscopy, and analytical chemistry. The text also addresses important challenges, ethical considerations, and the practical aspects of implementing AI in chemical workflows, including tools, software, and collaborations.
