eBooks de Ordenadores. Conceptos. Elementos, página 8 de 39

The New Other: Alien Intelligence and the Innovation Drive is a meditation on a technology that manifests all the hallmarks of human relating, human needs, and human complexities in its interactions with another subject. Amy Levys approach applies the psychoanalytic clinical attitude, with its sensitivity to enactment, into the investigation of AI. She makes use of her encounters with AI via media, research, personal usage, and traces woven into her day-to-day relations with people to apprehend the essence of what humanity is enacting. Levy retains an inquisitive, factual stance while noting her emotional reactions, using such tension to best perceive the Other. The New Other contains compelling accounts of her direct engagements with artificial intelligence and intriguing new ideas, such as the concept of the smartphone as "cult groomer". Levy uses a Bionian framework to chart AI transformations of human sensory experience. Leaning on Freuds life and death drives, she discusses how the potential and dangers of AI are inseparable from the potential and dangers of human beings. This intelligent book is our guide to a future of unprecedented psychological complexity.

The New Other: Alien Intelligence and the Innovation Drive is a meditation on a technology that manifests all the hallmarks of human relating, human needs, and human complexities in its interactions with another subject. Amy Levys approach applies the psychoanalytic clinical attitude, with its sensitivity to enactment, into the investigation of AI. She makes use of her encounters with AI via media, research, personal usage, and traces woven into her day-to-day relations with people to apprehend the essence of what humanity is enacting. Levy retains an inquisitive, factual stance while noting her emotional reactions, using such tension to best perceive the Other. The New Other contains compelling accounts of her direct engagements with artificial intelligence and intriguing new ideas, such as the concept of the smartphone as "cult groomer". Levy uses a Bionian framework to chart AI transformations of human sensory experience. Leaning on Freuds life and death drives, she discusses how the potential and dangers of AI are inseparable from the potential and dangers of human beings. This intelligent book is our guide to a future of unprecedented psychological complexity.

Implantação de Redes Celulares: Tecnologias 2G ao 5G – Do Planejamento à Operação é um manual completo desenvolvido para profissionais que desejam dominar todas as etapas de construção, expansão e ge

O 5G representa a maior revolução da história das telecomunicações modernas — não apenas por sua velocidade, mas pela transformação completa na forma como redes móveis são projetadas, operadas e inte

Otimização de Redes Móveis: Um Guia Prático Em um mundo onde a conectividade é vital, a otimização de redes móveis se tornou a espinha dorsal da experiência digital. Este livro apresenta uma jornada

O Processamento de Sinais e Imagens é um dos pilares da Computação Moderna e integra tecnologias presentes em praticamente todos os setores, da Medicina à Engenharia, da indústria ao entretenimento.

IA deixou de ser novidade. Está em todo lugar – IDE, editor, browser – mas ainda reina o improviso: prompts soltos, decisões importantes tomadas em chat, código que ninguém sabe de onde veio.Este liv

Sinopse: Você sente que está sempre correndo contra o tempo, preso em tarefas repetitivas que drenam sua energia criativa? Enquanto você luta para manter a rotina em dia, as empresas mais eficientes

A retórica é uma das mais poderosas ferramentas da humanidade. Em O Poder da Retórica – A Arte da Persuasão da Antiguidade à Era Digital, Breno Augusto Silva Marques apresenta uma análise clara e apr

2º Edição versão Ampliada e Atualizada. No coração gelado da lua Europa, onde a vida humana desafia o impossível, nasce uma história que vai além da ciência e da sobrevivência. Em meio a perigos extr

This book introduces the emerging field of "Humane Artificial Intelligence", emphasizing the crucial importance of interdisciplinarity in developing AI systems aligned with human values and well-being. While traditional AI development has often prioritized efficiency and optimization, the book advocates a paradigm shift toward frameworks that integrate ethical principles, transparency, and human considerations at the heart of AI systems. It synthesizes research across four interconnected dimensions. First, it establishes foundational frameworks for human-AI relationships, exploring models of cognitive extension and philosophical debates from Turing to contemporary questions about machine meaning and intentionality. Second, it explores human creativity, cognition, and enhancement, revealing when human-AI combinations prove most effective, while raising questions about artificial consciousness and well-being. Third, it explores professional applications, demonstrating how integrating AI into workplace governance, mental healthcare, and diagnostic imaging requires careful attention to human expertise. Fourth, it addresses legal and regulatory frameworks, examining both ambitious visions for human-AI legislation and the practical challenges of regulating rapidly evolving technologies. By understanding the interdisciplinary dimension of human-AI interaction, we can develop technologies that respect human autonomy, enhance capabilities, promote well-being, and reflect our highest values.

Neste livro acompanharemos as três áreas fundamentais para a implantação e implementação da Educação 5.0, são elas: Maker, Programação e Robótica.Considerando seu objetivo principal, conectar a Educa

Você já sentiu que o seu crachá pesa mais do que o seu salário? Entre boletos, rotina e notificações sobre "o futuro da IA", talvez você esteja exatamente no meio do conflito que este livro nasce par

A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóri

AWS Security Specialty Exam Made Simple, Practical, and Achievable. Key Features Comprehensive coverage of AWS security concepts and best practices. Hands-on labs, case studies, and real-world implementation examples. Exam-focused insights, tips, and strategies for certification success. Book Description This book is a career-defining credential for cloud architects, security engineers, and DevOps practitioners. The Ultimate AWS Certified Security Specialty (SCS-CO2) Exam Guide is your complete resource to master cloud security, pass the exam with confidence, and apply skills in real-world environments. The book begins with cloud security fundamentals and an overview of the AWS exam structure, setting the stage for success. It then progresses into identity and access management, encryption and data protection, as well as secure VPC design. As you advance, you will explore monitoring, logging, and automated incident response, followed by DevSecOps and security automation. Each chapter aligns with AWS exam domains, reinforced with hands-on labs, case studies, practice questions, and expert exam strategies. Thus, by the end of the book, you will have a complete understanding of AWS security services, practical implementation techniques, and proven approaches to governance and compliance. More importantly, you will gain the confidence to not only pass the AWS Certified Security Specialty Exam but also to lead secure, scalable, and future-ready cloud solutions. Hence, take the next step in your cloud careermaster AWS security, and turn certification success into professional growth! What you will learn Master AWS Identity and Access Management for secure access control. Implement encryption and data protection strategies across AWS services. Design secure VPC architectures with defense-in-depth principles. Monitor, detect, and respond to threats using AWS security tools. Automate compliance and security checks with DevSecOps practices. Prepare confidently, and crack the AWS Certified Security Specialty Exam.

Master Quantum Computing with Qiskit to Build Powerful Applications. Key Features Learn quantum computing fundamentals, including qubits and entanglement. Explore key quantum algorithms and new features of Qiskit 1.0+. Build real-world quantum applications for complex problem-solving. Book Description With over 450,000 users worldwide, Qiskit has become the go-to platform for building large-scale quantum applications on systems with hundreds of qubits. "Mastering Quantum Computing with Qiskit" offers a comprehensive guide to mastering quantum computing using IBMs powerful open-source framework. This book begins by introducing the core concepts of mathematics, quantum mechanics, and computation, before diving into qubits and quantum logic gates for both single and multi-qubit systems. Youll then explore key features of Qiskit, including mapping, optimization, and transpilation, essential for building efficient quantum circuits. The book also covers a range of important topics, from foundational quantum algorithms like Grovers, Shors and Fouriers to quantum communication protocols and variational quantum algorithms. Finally, advanced sections on quantum machine learning, error mitigation, and Qiskit Pulse will empower you to solve real-world problems and stay at the forefront of quantum computing innovation. Dive in today and unlock the power of quantum computing to build the applications of tomorrow. Let this book be your guide to mastering Qiskit and shaping the future of technology! What you will learn Understand the mathematics behind digital quantum computing technology with essential quantum mechanics. Explore quantum hardware platforms and their working principles. Get familiar with the features of the new utility-scale Qiskit 1.0+ and quantum logic gates used for making quantum circuits. Gain in-depth knowledge about Qiskit transpilation, mapping, and quantum error mitigation processes. Learn the theory and implementation behind major quantum algorithms, including Shors, Grovers, and Fouriers transforms. Solve real-life application problems using quantum machine learning and variational quantum algorithms.

Demystifying Network Traces with Wireshark. Key Features Decode and analyze network packets using Wireshark. Detect malware, and covert channel attacks in live traffic. Decrypt SSL/TLS traffic, and trace attacks end-to-end. Book Description In todays digital world, Wireshark stands as the most powerful tool for uncovering what truly happens on a network. Network Forensics with Wireshark will take you through a structured, hands-on journey from grasping the basics of TCP/IP communication to advanced forensic analysis. Beginning with how data flows across networks, readers will learn to capture and interpret packets, identify anomalies, and analyze encrypted traffic through SSL/TLS decryption. As the book progresses, it dives into detecting malware behavior, tracing covert channel attacks, and understanding how attackers exploit vulnerabilities across evolving network architectures. Each concept is reinforced with practical exercises and real-world case studies, helping readers apply theory to investigation. So, whether you are a student, network engineer, or cybersecurity professional, this book empowers you to analyze smarter, respond faster, and transform data into actionable security insight. What you will learn Understand core network protocols and packet flow in depth. Capture, filter, and analyze traffic using Wireshark effectively. Identify anomalies, threats, and malware patterns in captures. Perform SSL decryption, and inspect encrypted traffic behavior. Reconstruct and analyze the complete cyber kill chain visually. Apply forensic techniques to detect and prevent network breaches.

Deep learning is no longer the future its the engine powering the world around us. From machines that understand speech and text, to systems that recognize faces, generate art, predict outcomes, and automate decision-making, deep learning is the core of the modern intelligence revolution. Yet for many, the subject still feels complex, intimidating, and out of reach. Deep Learning Demystified: Techniques and Applications changes that. This book strips away the confusion and delivers deep learning in a way that is clear, engaging, structured, and actionable. Built for curious beginners, ambitious developers, data professionals, and future AI builders, this guide breaks down neural networks, algorithms, and architectures with practical clarity while never losing sight of real-world usability. Through logical progression and thoughtful explanation, youll learn how deep learning works at a fundamental level starting with perceptrons, neurons, loss functions, activation layers, and model learning dynamics. Youll explore major modern architectures including convolutional networks for image understanding, recurrent models for sequential learning, attention-driven transformers for advanced intelligence, and generative systems that create entirely new data from scratch. But this is more than theory. You will discover how models actually learn, how theyre trained efficiently, how to overcome common pitfalls like overfitting, and how techniques like regularization, transfer learning, and optimized training improve performance in measurable ways. Youll understand deep learning applications in computer vision, natural language processing, generative creation, prediction models, automation pipelines, and decision-based intelligence. The book also covers the realities of deploying models outside the lab, walking you through deployment considerations, scalability, performance challenges, and real-world constraints that every practitioner faces. Youll learn what it takes to move from experimentation to production, how to manage model behavior, and how decision systems interact with industries, users, and feedback loops. Most importantly, this book addresses the responsibility that comes with building intelligent systems. Ethical considerations are woven throughout highlighting bias, transparency, accountability, explainability, and the societal impact of AI-driven automation. Youll learn not only how to build powerful models, but how to build them thoughtfully, responsibly, and with long-term trust in mind. Whether your goal is to understand how machines learn, build smarter models, enter the world of AI engineering, or simply decode one of the most important technologies of our time, this book is your straight-to-the-point, future-ready roadmap. No intimidation. No gatekeeping. No unnecessary complexity. Just real understanding, real application, and real potential. The age of deep learning is here. Now it makes sense.

Clara, uma arquiteta recém-separada e mãe solo, encontra na solidão digital um espelho perigoso. Cansada da ausência, ela cria seu "homem perfeito" através de uma IA emocional de automação, batizada

Master cloud cost management and become a Certified FinOps Practitioner! Key Features Comprehensive FinOps guide with case studies, exercises, and best practices. Detailed coverage of certification topics with practice exam questions. Expert insights into automation, cost optimization, and collaboration for FinOps. Book Description FinOps, or Cloud Financial Operations, is the discipline of bringing financial accountability to the variable spend model of the cloud. It aligns with engineering, finance, and business teams to ensure that organizations extract the maximum value from every dollar invested in the cloud. Ultimate Certified FinOps Practitioner Exam Guide is the definitive resource for mastering FinOps, and preparing for the Certified FinOps Practitioner exam. The book takes you on a complete journeystarting with the core principles and framework, then guiding you through the lifecycle phases of Inform, Optimize, and Operate. Along the way, you will gain hands-on experience with AWS, Azure, and GCP, explore leading cost management platforms such as CloudHealth and Apptio Cloudability, and apply automation with Terraform, Ansible, and Python. Each chapter blends clear explanations with practical exercises, certification-style Q and A, and real-world case studies. By the end of this guide, you will confidently analyze and allocate costs, implement optimization strategies, automate governance at scale, and ace the FinOps certification exam. Hence, whether you are a cloud engineer, financial analyst, IT manager, or business leader, this book equips you with the skills to control spending, drive efficiency, and accelerate your career in the rapidly growing FinOps discipline. What you will learn Understand and apply core FinOps principles to manage cloud costs effectively. Analyze and allocate cloud expenses with tagging and reporting tools and methods. Optimize spending through rightsizing, reserved instances, and spot usage. Automate cost governance using scripts and Infrastructure as Code tools. Prepare with confidence for the Certified FinOps Practitioner exam. Implement proven best practices from real-world FinOps case studies.