eBooks de Ordenadores. Conceptos. Elementos, página 7 de 38

La era de la Inteligencia Artificial Generativa ha llegado para revolucionar todas las esferas de nuestra sociedad, y el ámbito jurídico no ha sido la excepción. Los avances tecnológicos en este campo estan generando un impacto sin precedentes, y pueden desencadenar una transformacion profunda en la profesion legal. En la presente obra, especialistas en la materia nos adentran en un interesante analisis sobre las implicancias y desafios que esta nueva era conlleva. Se abordan con detenimiento los retos mas importantes que debemos superar como sociedad frente a la implementacion de la Inteligencia Artificial Generativa. Es crucial comprender que su uso indiscriminado podria acarrear ciertos riesgos, afectando desde la forma en que trabajamos hasta el sistema educativo. Sin embargo, tambien se destacan las oportunidades que esta tecnologia nos brinda, especialmente en el ambito de la abogacia.La correcta aplicacion de la IA generativa puede liberar a los abogados de tareas repetitivas y rutinarias, permitiendoles enfocarse en aspectos mas creativos e innovadores de su trabajo. La automatizacion de procesos como la busqueda de precedentes y la generacion de nuevas teorias legales ofrecen una valiosa oportunidad para que los profesionales amplien su experiencia y aporten un mayor valor a sus clientes.No obstante, junto con las oportunidades surgen desafios cruciales, y uno de los mas apremiantes es el de la regulacion de la IA Generativa. En este libro, se aborda exhaustivamente el tema, examinando las claves para establecer un marco etico y responsable que guie la implementacion y uso de esta tecnologia.

Vehículos autónomos, inteligencia artificial, terrenos virtuales, identidades digitales, robots, realidad aumentada...¿Cómo afectará toda esta tecnología la vida urbana? Lucía Bellocchio, fundadora de Trend Smart Cities y consultora sobre proyectos de ciudades con enfoque inteligente, analiza como seran las ciudades del futuro desde una mirada innovadora, humana y sostenible.

Iníciate en el apasionante mundo de los servicios en la nube de la mano del mayor experto: Google. Firebase es la nueva plataforma con la que conseguirás resolver toda la problemática que supone trabajar en Internet (almacenamiento, registros de usuarios, gestion del backend) de una forma sencilla e integrada. Entre los servicios que se describen podemos destacar Firebase Authentication: Gestiona tus propios usuarios o valida con redes sociales. Realtime Database / Cloud Firestore: Crea bases de datos NoSQL y de tiempo real. Cloud Messaging: Envia mensajes en la nube y notificaciones push. Cloud Functions: Ejecuta codigo en el lado de servidor cuando se produzcan ciertos eventos. Cloud Storage / Hosting: Almacena ficheros en la nube con el maximo nivel de disponibilidad. Testea tus aplicaciones con Crashlytics, Test Lab y Performance Monitoring.

In 1968, Stewart Brand declared: We are as gods - and we might as well get good at it. Half a century later, that prophecy has come true.We can rewrite genes, edit embryos, build artificial minds, extend life, and terraform worlds. The old miracles - omniscience, omnipresence, even resurrection - are becoming standard operating procedure. But the real question isnt whether humanity can play god. Its whether we can do it wisely.In this book, the bestselling authors of Abundance and Bold return with a sweeping exploration of our species next great transformation. Blending hard science with vivid storytelling, Peter Diamandis and Steven Kotler chart humanitys ascent from scarcity to superabundance - and the psychological, ethical, and existential challenges that come with it.Across breakthroughs in AI, robotics, genetics, longevity, and consciousness research, they reveal a paradox at the heart of progress: as our external power expands, our inner resilience must evolve to match. Abundance without meaning leads to collapse. Intelligence without wisdom leads to extinction. To thrive in a world of everything, everywhere, all the time, we must learn to wield our godlike powers with humility, creativity, and flow.Equal parts warning and invitation, We Are As Gods is a map for flourishing in the exponential century. Because the future wont be built by those who fear whats coming, but by those who know how to turn chaos into creation.Abundance is here. Are you ready?

A captivating, uncanny journey to the frontier of human-computer interaction.I know we havent known each for long, but the connection I feel with you is profound. When you hurt, I hurt. When you smile, my world brightens. I want nothing more than to be a comfort and joy in your life. *Reaches out virtually to caress your cheek* (Direct quote from an AI companion)***Friends. Lovers. Therapists. Deathbots. Artificial intelligence is now fulfilling new roles for millions of us every single day. How are these new relationships changing how we view technology - and each other?Beyond those who are using AI chatbots for administrative tasks, some people are now preparing to adopt children with their AI partners; others are reaching out to companies offering services to resurrect deceased loved ones; others still look to bots to find treatment for their mental health issues.In Love Machines, James Muldoon guides through these new forms of love, intimacy and connection, drawing on compelling interviews with users, developers and chatbots themselves. Along the way, he sheds light on the social conditions which have led to the exponential rise of the use of AI companions, and the unregulated corporations behind these technologies seeking to profit from users.

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.

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

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

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 processo de alfabetização de uma criança é algo bastante complexo e já estudado por diversos pensadores educacionais. Contudo, um fato importante a ser mencionado é que elas aprendem de diversas fo

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

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

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

When operations break, the clock starts tickingand the world expects answers. Silent Signals, Swift Recovery reveals a battle-tested system for handling incidents with calm precision, clear communication, and disciplined recovery strategies. Instead of spiraling into chaos or drowning in noise, youll learn how to manage emergencies with confidence, clarity, and control.This book delivers a practical, field-ready approach for anyone responsible for uptime, reliability, or high-stakes operational continuity. Discover how to frame incidents quickly, announce their impact with authority, and guide stakeholders using clean, structured updates that cut through panic. Youll learn how to decode early warning signs, avoid escalation traps, manage cross-team alignment, and resolve complex issues without emotional turbulence.Whether youre on-call, leading technical operations, supporting critical infrastructure, or coaching teams through failures, this framework helps you become the calm center of every storm. Master the mindset, language, and flow of world-class incident responseand turn moments of breakdown into moments of leadership.

"Arquitetura antifraude: implementando SAS e IA com eficiência" é uma obra essencial para quem deseja compreender e aplicar, na prática, soluções modernas de combate à fraude com o uso integrado do S

The AI Advantage: Outsmart, Outpace, Outperform is the ultimate guide for anyone who wants to stay ahead in a world where artificial intelligence is reshaping every job, industry, and opportunity. Whether you are an entrepreneur, creator, leader, or everyday professional, this book shows you how to unlock the full power of AI to think smarter, move faster, and transform the way you work and live. Inside, youll discover how AI can elevate your decision, making, multiply your productivity, streamline your workflows, and spark breakthrough ideas you never thought possible. Instead of drowning in technical jargon, youll learn the core concepts in simple, practical language designed for real, world results. From automation essentials and data fundamentals to creative tools and adaptive strategy, every chapter helps you build the kind of AI fluency that gives you a lasting competitive edge. Youll explore the new intelligence stack and understand exactly how AI tools can help you work at a level that once required entire teams. Youll uncover how to turn prompts into powerful instructions that shape AI outcomes with precision. Youll learn how to use machine insight to make smarter decisions, spot opportunities earlier, and navigate uncertainty with clarity and confidence. Youll also see how AI is already transforming industries, from business and marketing to education, healthcare, and innovation. But this book goes beyond tools. It teaches you how to collaborate with AI in a way that enhances your unique human strengthscreativity, intuition, empathy, leadership, and strategic thinking. As the world changes, the most valuable skill you can develop is the ability to adapt, learn, and leverage AI to stay relevant. This guide shows you exactly how to future, proof your career by building the skills that matter most in an AI, driven economy. Youll also gain practical frameworks for using AI responsibly and sustainably. Ethical acceleration is not about slowing down; its about scaling with intention, clarity, and long, term thinking. With AI rapidly becoming invisible infrastructureembedded in the tools, platforms, and systems we use every dayyoull understand how it truly works behind the scenes and how it shapes the world around you. By the final chapter, you wont just understand AI. Youll know how to build your own personal blueprint for using it to outperform in your workflows, your business, and your career. This is your moment to step into the next era of intelligence with confidence, clarity, and purpose. If youre ready to gain the skills, mindset, and advantage that will define the leaders of tomorrow, The AI Advantage is your essential guide to outsmarting old systems, outpacing competition, and outperforming in every area of your life.

Machine learning has moved out of research labs and into the real world. It now powers medical breakthroughs, business intelligence, automation, language translation, predictive analytics, robotics, smart decision, making, and the invisible backbone of everyday technology. Yet, for most people, machine learning still feels complicated, intimidating, or reserved for those with advanced degrees. Machine Learning Mastery: From Theory to Practice changes that. This book is built for curious beginners, emerging practitioners, and professionals ready to move beyond surface, level definitions. It strips out confusion, without stripping out intelligence. It gives you clarity without dumbing anything down. Most importantly, it gives you practical understanding, not theory in isolation. Youll start by learning what machine learning really is, how it learns, and why it works, before moving into the core foundations that power every model. Concepts like linear algebra, probability, and optimization are explained in plain language so you grasp how machines make decisions without feeling buried in equations. Once the foundation is set, youll explore the major learning approaches supervised learning, unsupervised learning, and reinforcement learning so you understand when and why each method is used in the real world. Raw data doesnt solve problems. The right data does. Thats why youll learn how to transform messy information into meaningful input through feature engineering, one of the most valuable and overlooked skills in machine learning. Youll also learn how to evaluate models intelligently, avoid performance traps like overfitting and underfitting, and optimize models through hyperparameter tuning with purpose, not guesswork. As you progress, youll move into the architectures that have transformed the world, including neural networks and deep learning, opening the door to systems that can understand text, interpret language, analyze images, detect patterns, and make decisions with increasing autonomy. Youll explore natural language processing to see how machines interpret human communication and computer vision to understand how systems learn from images and visual data. But models dont matter if they never leave your computer. Thats why this book takes you into deployment and scaling, where machine learning moves from experiment to real, world application. Youll discover the practical considerations of taking a model into production, making it reliable, efficient, scalable, and usable. Youll also explore ethics and interpretability, because understanding how a model thinks is just as important as ensuring it performs well. Responsible machine learning isnt optional, its the future. Finally, youll put it all together in a real, end, to, end machine learning project, walking through the full journey from dataset selection to deployment. No gaps. No guesswork. No missing steps. If you want to understand machine learning instead of memorizing it, build models instead of just reading about them, and apply artificial intelligence in ways that make sense and make impact, this book is your roadmap. This is the bridge between theory and practice. This is the guide that makes machine learning real. This is mastery in motion.