The Book Review Column

Foundation Mathematics for Computer Science: A Visual Approach, 4th edition (Springer, 2023) by John Vince (Bournemouth University, UK) is a comprehensive collection of discrete and continuous mathematical topics that are covered in most undergraduate programs in computer science. The subtitle refers to the author's use of colored graphs and tables to illustrate the concepts. Online Algorithms (Cambridge University Press, 2023) by Rahul Vaze (Tata Institute of Fundamental Research, India) is an accessible but rigorous introduction to the area aimed at advanced undergraduates and beginning graduate students. The book covers the basic as well as applied online problems with a preference of elegant analysis over performance. Privacy-preserving Computing for Big Data Analytics and AI (Cambridge University Press, 2023) by Kai Chen and Qiang Yang (Hong Kong University of Science and Technology) is a systematic examination of the history, theories, techniques, applications, and future of the field. Prize-winning neuroscientist Terrence Sejnowski (University of California at San Diego) explains the technology and mathematics behind large language models such as ChatGPT and explores the debate on their so-called comprehension of language in ChatGPT and the Future of AI: The Deep Language Revolution (The MIT Press, 2024).