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                <text>This open access book covers the most cutting-edge and hot research topics and fields of post-quantum cryptography. The main purpose of this book is to focus on the computational complexity theory of lattice ciphers, especially the reduction principle of Ajtai, in order to fill the gap that post-quantum ciphers focus on the implementation of encryption and decryption algorithms, but the theoretical proof is insufficient. In Chapter 3, Chapter 4, and Chapter 6, the author introduces the theory and technology of LWE distribution, LWE ciphers, and homomorphic encryption in detail. When using random analysis tools, there is a problem of "ambiguity" in both definition and algorithm. The greatest feature of this book is its use of probability distribution to carry out rigorous mathematical definitions and mathematical demonstrations for various unclear or imprecise expressions, so as to make it a rigorous theoretical system for classroom teaching and dissemination. Chapters 5 and 7 further expand and improve the theory of cyclic lattices, ideal lattices, and generalized NTRU cryptography.&#13;
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                <text>This open access book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms, and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shannon's information theory, this book systematically introduces the information theory, statistical characteristics, and computational complexity theory of public key cryptography, focusing on the three main algorithms of public key cryptography: RSA, discrete logarithm, and elliptic curve cryptosystem. It aims to indicate what it is and why it is. It systematically simplifies and combs the theory and technology of lattice cryptography, which is the greatest feature of this book.&#13;
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                <text>Cryptography is an indispensable tool used to protect information in computing systems. It is used everywhere and by billions of people worldwide on a daily basis. It is used to protect data at rest and data in motion. Cryptographic systems are an integral part of standard protocols, most notably the Transport Layer Security (TLS) protocol, making it relatively easy to incorporate strong encryption into a wide range of applications.&#13;
&#13;
While extremely useful, cryptography is also highly brittle. The most secure cryptographic system can be rendered completely insecure by a single specification or programming error. No amount of unit testing will uncover a security vulnerability in a cryptosystem.&#13;
&#13;
Instead, to argue that a cryptosystem is secure, we rely on mathematical modeling and proofs to show that a particular system satisfies the security properties attributed to it. We often need to introduce certain plausible assumptions to push our security arguments through.&#13;
&#13;
This book is about exactly that: constructing practical cryptosystems for which we can argue security under plausible assumptions. The book covers many constructions for different tasks in cryptography. For each task we define a precise security goal that we aim to achieve and then present constructions that achieve the required goal. To analyze the constructions, we develop a unified framework for doing cryptographic proofs. A reader who masters this framework will be capable of applying it to new constructions that may not be covered in the book.</text>
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                <text>This book examines how warehouse-scale computers treat the datacenter itself as one massive computer designed at warehouse scale, with hardware and software working in concert. The book details the architecture of WSCs and covers the main factors influencing their design, operation, and cost structure, as well as the characteristics of their software base. Each chapter contains real-world examples, including detailed case studies and previously unpublished details of the infrastructure used to power Google’s online services. Though targeted at the architects and programmers of today’s WSCs, this book will also be broadly interesting to those who just want to understand the infrastructure powering cloud computing and hyperscale and AI services. &#13;
&#13;
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                <text>AI, FinTech, and the Future of Robo-Advisory: Risk Management and Ethical Considerations</text>
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                <text>This open access book explores the rise of robo-advisory within the broader FinTech revolution, tracing its evolution from traditional human advisors to AI-driven platforms that democratize financial services. Robo-advisory technologies are part of a rapidly evolving financial landscape shaped by digitalization, disintermediation, and changing client expectations. This work examines the drivers behind this shift, including advancements in AI and data analytics, evolving investor demands for personalization and accessibility, and the cost and scalability pressures facing financial institutions.&#13;
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 The book differentiates rule-based from AI-powered systems, highlighting how modern robo-advisors increasingly leverage machine learning, behavioral insights, and alternative data to offer dynamic and adaptive services. Emerging trends such as hybrid advisory models, behavioral nudges, ethical challenges surrounding algorithmic transparency, and inclusivity concerns are also addressed. Moreover, this work maps out key players and market trends, emphasizing regional variations, consolidation patterns, and niche market opportunities. &#13;
&#13;
A novel framework of six AI-driven business models is introduced to explain how robo-advisory is strategically deployed across incumbent and disruptive financial organizations. Ultimately, robo-advisory technologies serve as a lens to understand the future trajectory of financial services where AI, automation, and behavioral design converge to reshape how individuals engage with money, risk, and long-term financial planning.</text>
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