This book covers a large range of topics, including but not limited to: depth vs breadth worldbuilding style, the design of natural laws for universes, geographical features, flora and fauna, materials, settings and genres, in-universe art and architecture, relationships between characters and civilizations, cultural traditions, governmental systems, currency and trade, guides on naming various features of a world, constructed languages, and how to receive and handle feedback as a creator. The book contains judicious examples from all types of media, and a chapter showing the results of my worldbuilding in relation to the book's content. For authorship, explanations are given in the context of a creator looking to build a world of fiction for any medium. It explores how the environments they create can improve their ability to drive a narrative, write compelling plots, and characters that interact with that world. The book is written with an educational slant, and gives a lot of technical information about why things in our world are the way they are, and how best to apply the research you do to inspire new creations.

Throughout history, man has been searching for better ways to gather information about his universe. But although they may have longed for it, not even the most brilliant minds could conceive of a device as infinitely powerful or as immeasurably precise as the Macroscope, until the twenty-first century. This is a story of mans desperate search for a compromise between his mind and his heart, between knowledge and humanity.

This is a book about worldbuilding for worlds of fiction. This book covers a large range of topics, including but not limited to: depth vs breadth worldbuilding style, the design of natural laws for universes, geographical features, flora and fauna, materials, settings and genres, in-universe art and architecture, relationships between characters and civilizations, cultural traditions, governmental systems, currency and trade, guides on naming various features of a world, constructed languages, and how to receive and handle feedback as a creator. The book contains judicious examples from all types of media, and a chapter showing the results of my worldbuilding in relation to the book's content. For authorship, explanations are given in the context of a creator looking to build a world of fiction for any medium. It explores how the environments they create can improve their ability to drive a narrative, write compelling plots, and characters that interact with that world. The book is written with an educational slant, and gives a lot of technical information about why things in our world are the way they are, and how best to apply the research you do to inspire new creations.

AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blind mode and revised.

This book presents a hands-on approach for solving electronic design automation problems with modern machine intelligence techniques by including step-by-step development of commercial grade design applications including resistance estimation, capacitance estimation, cell classification and others using dataset extracted from designs at 20nm. It walks the reader step by step in building solution flow for EDA problems with Python and Tensorflow.Intended audience includes design automation engineers, managers, executives, research professionals, graduate students, Machine learning enthusiasts, EDA and CAD developers, mentors, and the merely inquisitive. It is organized to serve as a compendium to a beginner, a ready reference to intermediate and source for an expert.