SONG - Böcker

This book provides a critical state-of-the-art overview of work in linguistic typology. It examines the directions and challenges of current research and shows how these reflect and inform work on the development of linguistic theory. It describes what typologists have revealed about language in general and discovered (and continue to discover) about the richly various ways in which meaning and expression are achieved in the world's languages. Typological research extends across all branches of linguistics. The degree to which the characteristics of language are universal or particular is crucial to the understanding of language and its relation to human nature and culture. This book is an essential source of reference for linguists of all theoretical persuasions. It is a vital companion for all those working in linguistic typology or undertaking linguistic fieldwork on one or more languages.

CUA Press is proud to announce the CUA Studies in Canon Law. In conjunction with the School of Canon Law of the Catholic University of America, we are making available, both digitally and in print, more than 400 canon law dissertations from the 1920s to 1960s, many of which have long been unavailable.These volumes are rich in historical content, yet remain relevant to canon lawyers today. Topics covered include such issues as abortion, excommunication, and infertility. Several studies are devoted to marriage and the annulment process; the acquiring and disposal of church property, including the union of parishes; the role and function of priests, vicars general, bishops, and cardinals; and juridical procedures within the church.For those who seek to understand current ecclesial practices in light of established canon law, these books will be an invaluable resource.

Informative reference on the state of the art in cybersecurity and how to achieve a more secure cyberspace AI for Cybersecurity presents the state of the art and practice in AI for cybersecurity with a focus on four interrelated defensive capabilities of deter, protect, detect, and respond. The book examines the fundamentals of AI for cybersecurity as a multidisciplinary subject, describes how to design, build, and operate AI technologies and strategies to achieve a more secure cyberspace, and provides why-what-how of each AI technique-cybersecurity task pair to enable researchers and practitioners to make contributions to the field of AI for cybersecurity. This book is aligned with the National Science and Technology Council’s (NSTC) 2023 Federal Cybersecurity Research and Development Strategic Plan (RDSP) and President Biden’s Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Learning objectives and 200 illustrations are included throughout the text. Written by a team of highly qualified experts in the field, AI for Cybersecurity discusses topics including: Robustness and risks of the methods covered, including adversarial ML threats in model training, deployment, and reusePrivacy risks including model inversion, membership inference, attribute inference, re-identification, and deanonymizationForensic and formal methods for analyzing, auditing, and verifying security- and privacy-related aspects of AI componentsUse of generative AI systems for improving security and the risks of generative AI systems to securityTransparency and interpretability/explainability of models and algorithms and associated issues of fairness and biasAI for Cybersecurity is an excellent reference for practitioners in AI for cybersecurity related industries such as commerce, education, energy, financial services, healthcare, manufacturing, and defense. Fourth year undergraduates and postgraduates in computer science and related programs of study will also find it valuable.