Jun Gu – författare

The satisfiability (SAT) problem is central in mathematical logic, computing theory, and many industrial applications. There has been a strong relationship between the theory, the algorithms, and the applications of the SAT problem. This book aims to bring together work by the best theorists, algorithmists, and practitioners working on the SAT problem and on industrial applications, as well as to enhance the interaction between the three research groups. The book features the application of theoretical/algorithmic results to practical problems and presents practical problems for theoretical/algorithmic study.Major topics covered in the book include practical and industrial SAT problems and benchmarks, significant case studies and applications of the SAT problem and SAT algorithms, new algorithms and improved techniques for satisfiability testing, specific data structures and implementation details of the SAT algorithms, and the theoretical study of the SAT problem and SAT algorithms. It features: a comprehensive review of SAT research work over the past 25 years; the most recent research results; and a spectrum of algorithmic issues and applications.

The principle of the conventional activated sludge (CAS) for municipal wastewater treatment is primarily based on biological oxidation by which organic matters are converted to biomass and carbon dioxide. After more than 100 years’ successful application, the CAS process is receiving increasing critiques on its high energy consumption and excessive sludge generation. Currently, almost all municipal wastewater treatment plants with the CAS as a core process are being operated in an energy-negative fashion. To tackle such challenging situations, there is a need to re-examine the present wastewater treatment philosophy by developing and adopting novel process configurations and emerging technologies. The solutions going forward should rely on the ways to improve direct energy recovery from wastewater, while minimizing in-plant energy consumption. This book begins with a critical overview of the energy situation and challenges in current municipal wastewater treatment plants, showing the necessity of the paradigm shift from removal to recovery in terms of energy and resource. As such, the concept of A-B process is discussed in detail in the book. It appears that various A-B process configurations are able to provide possible engineering solutions in which A-stage is primarily designed for COD capture with the aim for direct anaerobic treatment without producing excessive biosludge, while B-stage is designated for nitrogen removal. Making the wastewater treatment energy self-sustainable is obviously of global significance and eventually may become a game changer for the global market of the municipal wastewater reclamation technology.The principal audiences include practitioners, professionals, university researchers, undergraduate and post-graduate students who are interested and specialized in municipal wastewater treatment and process design, environmental engineering, and environmental biotechnology.

This book shares Chinese scholars’ philosophical views on artificial intelligence. The discussions range from the foundations of AI—the Turing test and creation of machine intelligence—to recent applications of AI, including decisions in games, natural languages, pattern recognition, prediction in economic contexts, autonomous behaviors, and collaborative intelligence, with the examples of AlphaGo, Microsoft’s Xiao Bing, medical robots, etc. The book’s closing chapter focuses on Chinese machines and explores questions on the cultural background of artificial intelligence. Given its scope, the book offers a valuable resource for all members of the general public who are interested in the future development of artificial intelligence, especially from the perspective of respected Chinese scholars.

This book shares Chinese scholars’ philosophical views on artificial intelligence. The discussions range from the foundations of AI—the Turing test and creation of machine intelligence—to recent applications of AI, including decisions in games, natural languages, pattern recognition, prediction in economic contexts, autonomous behaviors, and collaborative intelligence, with the examples of AlphaGo, Microsoft’s Xiao Bing, medical robots, etc. The book’s closing chapter focuses on Chinese machines and explores questions on the cultural background of artificial intelligence. Given its scope, the book offers a valuable resource for all members of the general public who are interested in the future development of artificial intelligence, especially from the perspective of respected Chinese scholars.

This book explores the authors' legal thinking on artificial intelligence (AI), a topic of burgeoning interest in the technology sector and among the general public. As part of the Human Intelligence book series, it primarily addresses the legislative and philosophical challenges posed by AI technology. A key philosophical concern discussed is the implications of AI surpassing human intelligence in certain domains, particularly the definition of rights and responsibilities for robots. Without clear resolutions to these issues, the deployment of AI technology may face significant hurdles. The book covers various aspects, including the legal recognition of robots as rights-holders, strategies for implementing these rights, assigning responsibilities to robots, intellectual property rights for robotic inventions, personality rights for companion robots, and an evaluation of the pros and cons of a binary legal system.