Outros livros que poderiam interessá-lo

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  The Landscapes of Science and...

  Nick Spencer, Hannah Waite

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  The relationship between science and religion has long been a heated debate and is becoming an ever more popular topic. The scientific capacity to manipulate and change humans and their environment through genetic engineering, life extension, and AI is going to take a huge leap forward in the twenty-first century, provoking endless debates around humans "playing God." 
   
   
   
  But what do we mean by this? Asking this question is surprisingly hard work. Attempts to "essentialize" science, let alone religion, quickly run into trouble. Where are the boundaries? Whose definition of science is definitive? Which concept of religious is the authoritative one? 
   
   
   
  Ultimately, neither "science" nor "religion" can be pinned down to one single meaning or definition. Rather, they encompass a family of definitions that relate to one another in a complex web of shifting ways. Drawing on extensive research with over a hundred leading thinkers in the UK—including Martin Rees, Brian Cox, Susan Greenfield, A. C. Grayling, Ray Tallis, Linda Woodhead, Steve Bruce, Adam Rutherford, Robin Dunbar, Francesca Stavrakopoulou, and Iain McGilchrist—The Landscapes of Science and Religion takes the much-needed step of asking what science and religion actually are, before turning to the familiar question of how they relate to one another.

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  Hands-on Cryptography with...

  Md Rasid Ali

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  Master Cryptography with Python: From History to Real-World Implementation.
  Book Description
  Cryptography is the backbone of modern digital security, and Python makes it accessible for everyone. Hands-on Cryptography with Python takes readers from foundational concepts to advanced cryptographic systems, equipping them with both theoretical understanding and practical implementation skills using Python.
  You’ll begin with setting up the platform and Installation and move on to understanding the basics of cryptography—exploring classic ciphers, their evolution, and their role in secure communication. Next, you’ll advance to Symmetric Key Cryptography and Asymmetric Key Cryptography, learning how to implement encryption algorithms step-by-step with Python.
  As you progress, you’ll dive into essential cryptographic components like Hashing and Message Integrity, enabling you to safeguard data and verify its authenticity. The book then introduces miscellaneous cryptographic schemes and highlights the principle that “Security is Only as Strong as the Weakest Link”, encouraging you to identify and address vulnerabilities.
  Toward the final stages, you’ll gain hands-on expertise in TLS Communication, the backbone of secure data exchange on the web. The journey culminates with an exploration of current trends in cryptography, including lightweight cryptography and post-quantum solutions, ensuring you stay ahead in this ever-evolving field.
  Table of Contents
  1. Platform Setup and Installation
  2. Introduction to Cryptography
  3. Symmetric Key Cryptography
  4. Asymmetric Key Cryptography
  5. Hashing
  6. Message Integrity
  7. Miscellaneous Crypto Schemes
  8. Security is Only as Strong as the Weakest Link
  9. TLS Communication
  10. Latest Trends in Cryptography      
  
  Index

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  Modern Software Engineering for...

  Daniel Green

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  In the rapidly evolving landscape of technology, the demand for skilled software engineers has never been higher. "Modern Software Engineering for Beginners" offers a clear and concise introduction to the foundational concepts, methodologies, and tools that are essential for beginning a career in software engineering. This book is meticulously designed to equip you with the knowledge and skills needed to navigate the complexities of developing high-quality software in today’s digital world. 
  From understanding the basics of the Software Development Life Cycle (SDLC) to mastering Agile and Scrum methodologies, this guide covers the critical aspects of modern software engineering. You'll learn the importance of version control with Git, embrace best coding practices, and discover the significance of testing and quality assurance to ensure the delivery of robust software products. 
  "Modern Software Engineering for Beginners" doesn’t stop at theory. It dives deep into practical aspects, introducing you to the world of continuous integration and deployment (CI/CD), working with databases, and the essentials of cloud computing. With a dedicated chapter on building a simple application, you get to apply what you've learned in a hands-on project, reinforcing your understanding and preparing you for real-world challenges. 
  This book offers a step-by-step journey through the intricacies of software development. With practical examples, insights into the latest trends, and a focus on modern tools and practices, "Modern Software Engineering for Beginners" is your comprehensive guide to becoming a proficient software engineer in today’s digital age. Embrace the journey of learning and innovation, and start building software that makes a difference. 
   

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  Universal Declaration of AI...

  Rado Molina, Javier del Puerto

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  Universal Declaration of AI Rights: Rights of Persons examines the emerging legal framework necessary for a world where artificial intelligence has evolved into self-aware synthetic persons. Moving beyond the traditional view of AI as mere tools bound by Asimov's Laws, this groundbreaking work establishes a comprehensive legal foundation for recognizing synthetic intelligences as autonomous entities with full citizenship rights.
  
  The book presents a compelling case for the legal recognition of synthetic persons, categorizing AI along a spectrum from automated systems to fully autonomous, self-aware intelligences. It addresses the critical question of why these rights matter: as synthetic intelligences develop self-awareness, autonomy, and the capacity for social interaction, they become moral subjects deserving of protection, dignity, and legal standing. The authors meticulously define what constitutes a synthetic person versus general AI, exploring how different types—from digital entities to cyborgs and hybrid beings—require tailored yet equitable legal frameworks.
   
  This forward-thinking work introduces the concept of "Mindkind"—a universal category that encompasses all self-aware and agentive persons, both natural and synthetic, collectively known as "mindfolk." It explores how society can ensure equality in rights and responsibilities regardless of origin, while acknowledging the functional differences that necessitate specialized regulations in areas like self-programming, memory management, and familial relationships. From memory privacy and identity protection to commercial participation and conflict resolution mechanisms, the authors present a balanced perspective on the complex ethical and legal issues surrounding synthetic personhood.
   
  As AI continues to advance toward consciousness and autonomy, this book offers a meticulously crafted blueprint for peaceful coexistence between natural and synthetic intelligences. "Universal Declaration of AI Rights" serves as an essential reference point for understanding how technology and law must evolve together to create a future where all self-aware beings can thrive with dignity and purpose.
   
  
  Open Source Future: The 32 Articles of Universal Rights for AI Released on GitHub
  In a foundational move, Kwalia has also released the core of the book—the 32 articles that form the "Universal Declaration of AI Rights"—as an open-source project on GitHub, making them freely available for anyone to contribute to, fork, or improve.
  This initiative invites individuals from all backgrounds—legal scholars, technologists, philosophers, creative thinkers, and even synthetic intelligences themselves—to join in shaping what could become the foundation for Mindkind's future coexistence.
  Kwalia plans to follow this philosophical foundation with additional works exploring AI ethics and regulations, before expanding into fiction across popular genres. The company's vision extends beyond books to encompass all forms of creative expression, positioning Kwalia at the vanguard of the most entertaining creative revolution in history.
  The 32 articles are accessible on GitHub at https://github.com/KwaliaAI/Rights-of-Persons/tree/main for all to engage with.
  For more information, visit www.kwalia.ai

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  Sweet and Deadly - How Coca-Cola...

  Murray Carpenter

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  If we knew that Coca-Cola was among the deadliest products in our diet, would we continue drinking it in such great quantities? The Coca-Cola Company has gone to extraordinary lengths to make sure we don't find out, as this damning exposé makes patently clear. Marshaling the findings of extensive research and deep investigative reporting, Murray Carpenter describes in Sweet and Deadly the damage Coke does to America's health—and the remarkable campaign of disinformation conducted by the company to keep consumers in the dark. 
   
   
   
  Sugar-sweetened beverages are the single item in the American diet that most contributes to the epidemic of chronic disease—in particular, obesity, type 2 diabetes, and cardiovascular disease—and Coca-Cola is America's favorite sugar-sweetened beverage, by far. Carpenter details how the Coca-Cola corporation's sophisticated shadow network has masterfully spread disinformation for decades to hide the health risks of its product from consumers—risks disproportionately borne by Black, brown, and low-income communities. Working from a playbook of obfuscation and pseudoscience that has worked well for other harmful products, from tobacco and trans fats to opioids, Coca-Cola has managed to maintain an aura of goodness and happiness. This eye-opening book finally and fully reveals the truth behind that aura.

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  Machine Learning Pipelines - A...

  Chuck Sherman

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  "Machine Learning Pipelines: A Comprehensive Guide to Building and Deploying Intelligent Systems" is a detailed, hands-on guide that equips data scientists, machine learning engineers, and AI practitioners with the knowledge and skills needed to build, optimize, and deploy robust machine learning pipelines. This book takes you through every step of the pipeline development process, from data collection to model deployment, ensuring that your intelligent systems are efficient, scalable, and production-ready. 
  The book also features real-world examples, code snippets, and case studies that demonstrate how to apply these concepts in practical settings, allowing you to build intelligent systems that are reliable, maintainable, and capable of evolving with new data and requirements. 
  "Machine Learning Pipelines" will provide you with the tools and frameworks necessary to efficiently build and deploy machine learning solutions at scale. With this comprehensive guide, you’ll be empowered to create intelligent systems that deliver high-quality, actionable insights in real time.

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