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Art as a compass for democracy in times of technological changeCulture Codes Democracy is a timely publication exploring how art and cultural critique can help societies rethink their relationship to new technologies. Drawing on the expertise of leading European cultural institutions, it highlights the role of artistic practice in shaping democratic futures. The book distinguishes itself through: Three thematic sectionsMediated Realities, Speculative Governance, and Hybrid Entitieseach showing how art engages with technology and democracy Contributions from pioneering cultural organisations, offering real-world case studies and insights A forward-looking perspective, envisioning how art can guide Europe towards digital sovereignty Richly illustrated and thought-provoking, this critical reader is essential for anyone interested in the intersection of art, politics, and technology in shaping tomorrows democracy.

Art as a compass for democracy in times of technological changeCulture Codes Democracy is a timely publication exploring how art and cultural critique can help societies rethink their relationship to new technologies. Drawing on the expertise of leading European cultural institutions, it highlights the role of artistic practice in shaping democratic futures. The book distinguishes itself through: Three thematic sectionsMediated Realities, Speculative Governance, and Hybrid Entitieseach showing how art engages with technology and democracy Contributions from pioneering cultural organisations, offering real-world case studies and insights A forward-looking perspective, envisioning how art can guide Europe towards digital sovereignty Richly illustrated and thought-provoking, this critical reader is essential for anyone interested in the intersection of art, politics, and technology in shaping tomorrows democracy.

Generative AI is rapidly transforming how organizations create content, build intelligent systems, and automate complex tasks. Understanding how these models workand how to build themis now a career-defining skill for developers and data professionals. Mastering Generative AI Systems Engineering begins with the core foundations of generative AI. You will explore the essential mathematics, latent spaces, probability concepts, and neural network principles behind VAEs and GANs. The book then guides you through advanced systems such as CycleGANs, StyleGANs, and cutting-edge Diffusion Modelsthe engines behind todays most powerful generative tools.

When Microsoft released early versions of Windows, they included simple games like Solitaire and Minesweeper. For decades, millions of office workers lost countless hours to these digital distractions. But these games were not included merely for entertainment; they were covert training programs designed to rewire human muscle memory.This technological history uncovers the brilliant user-interface strategy behind early operating systems. In the early 1990s, the computer mouse was an alien concept. Solitaire was specifically engineered to teach users the fluid mechanics of "drag and drop," while Minesweeper was designed to train speed and precision with the "left and right click."By examining the diaries of early software engineers, the book reveals how these simple games bridged the massive psychological gap between analog typewriters and digital interfaces. It explores how hidden gamification successfully taught an entire generation a new language of physical interaction without them ever realizing they were in a classroom.Revisit the grey screens that shaped our digital dexterity. This narrative proves that the most effective technological revolutions are the ones disguised as pure play.

In recent years, Natural Language Processing (NLP) has gone through a radical breakthrough due to the success of Large Language Models (LLMs). These models have demonstrated that an unsupervised inductive approach, based on processing large amounts of raw data, can achieve extraordinary accuracy rates in many NLP-related tasks. This progress seems to have reduced the role of theoretical linguistics in computational approaches to linguistic analysis. For instance, metalinguistic annotation, a central element in supervised learning, which traditionally relies on established linguistic theories, has lost its core place in eveloping trained models for different NLP tasks.In this context, a closer dialogue between theoretical and computational linguistics becomes essential to integrate theoretical and practical perspectives, bridging the gap between these two approaches to language study. This is particularly important for both the practical implementation of linguistic theories in computational models and the theoretical interpretation of results produced by NLP systems. This special issue of the Italian Journal of Computational Linguistics aims to bridge this gap by exploring the emerging synergies between theoretical linguistics and computational linguistics and the implications these have for the future of the two approaches.

No universo da tecnologia, aprendemos desde cedo a valorizar o que pode ser medido: linhas de código, entregas, certificações, frameworks dominados. Mas, à medida que avançamos na carreira, uma verda

The AWS Certified Cloud Practitioner (CLF-C02) Exam is your gateway to todays cloud-first worldand Ultimate AWS Certified Cloud Practitioner (CLF-C02) Certification Guide (2nd Edition) is your complete roadmap for clearing it with confidence. Whether you are starting from scratch or strengthening your IT foundation, this book prepares you to succeed in the worlds most recognized cloud certification. You begin with a solid grounding in cloud computing fundamentals, and gradually advance into AWS global infrastructure, compute, storage, databases, networking, migration, security, pricing, governance, and application integration. Each chapter simplifies complex topics with illustrations, real-world business examples, hands-on walkthroughs, and structured explanations aligned with the CLF-C02 exam blueprint. Practice questions, exam tips, and review sections help you reinforce learning and identify the weak areas, ensuring that you are always exam-ready!

Em um mundo cada vez mais conectado e automatizado, e com a proliferaço do uso de inteligencia artificial, o bom funcionamento dos dispositivos eletronicos, especialmente os que compem o ecossistema IoT, tornou-se essencial para a segurança, para a produtividade e ate para a sobrevivencia humana. Este livro sugere um modelo conceitual e tecnico que prope o monitoramento da "saude" de dispositivos inteligentes com base na analise multidimensional e temporal de seus parametros eletricos. A analise de dados funcionais por meio da criaço de matrizes multidimensionais sobrepostas permite organizar e monitorar dados como corrente, tenso, potencia, consumo e fator de potencia ao longo do tempo e de formas diferentes. O autor prope uma abordagem para inferir, de forma visual e objetiva, mediante algoritmos, o indice de saude de um dispositivo. O modelo oferece tambem uma representaço grafica comparavel a um "raio X digital", revelando o estado interno do equipamento com base em variaçes sutis de desempenho e desgaste de seus componentes eletronicos. O livro foi dividido em duas partes. Uma delas, a mais ludica, diz respeito a comparaço entre o funcionamento de um corpo humano e um dispositivo inteligente; e a outra sugere um modelo para obter indicadores da saude dos dispositivos. O livro no apenas apresenta a sua teoria de uso das matrizes temporais multidimensionais como traz insights de implementaço, desde a prototipagem ate as aplicaçes futuras em manutenço preditiva, redes autonomas e inteligencia embarcada. Assim, em determinados momentos, vamos nos referir a dispositivos de IoT simplesmente como "o IoT". O objetivo e apresentar caminhos alternativos para que o leitor possa refletir sobre o papel das maquinas no nosso cotidiano e a necessidade de preservar sua integridade em um mundo onde humanos e sistemas automatizados se tornam cada vez mais interdependentes.

From Prototype to Production-Grade LLM Systems. Key Features Get a free one-month digital subscription to www.avaskillshelf.com End-to-end coverage of modern LLMOps, from fundamentals to production deployment and monitoring. Hands-on prompt management, LLM chaining, RAG, and building AI agent examples. Practical insights into LLMOps observability and analytics using LangFuse, Fine-tuning, and securing LLMs in real-world environments. Book Description Large Language Models (LLMs) are transforming how organizations build intelligent applications, yet taking them from experimentation to reliable production systems requires a new disciplineLLMOps. Ultimate LLMOps for LLM Engineering offers a comprehensive journey through the principles, tools, and workflows essential for operationalizing LLMs with confidence and efficiency. It begins by demystifying LLM fundamentals, model behavior, and the evolving landscape of MLOps, giving readers the context needed to design scalable AI systems. The core chapters dive into hands-on techniques that drive real-world LLM applications, including prompt management, LLM chaining, and Retrieval Augmented Generation (RAG). You will explore how to design LLM pipelines, build effective agentic systems, and orchestrate complex multi-step reasoning workflows. Each concept is supported with practical insights applicable across industries and platforms. Moving deeper into production, the book equips you with strategies for deploying, serving, and monitoring LLMs in modern cloud and hybrid environments. You will learn how to fine-tune and adapt models, enforce security and privacy requirements, and detect model drift in dynamic data ecosystems. What you will learn Understand LLM foundations and how they integrate with the MLOps ecosystem. Build robust prompt strategies, LLM chains, and RAG pipelines for complex workflows. Design and deploy AI agents and autonomous LLM-driven systems. Serve, scale, monitor, and evaluate LLMs across cloud and on-prem environments. Apply fine-tuning, optimization, and adaptation techniques to improve model performance. Implement best practices for LLM security, privacy, governance, and drift detection. Who is This Book For? This book is tailored for GenAI Developers, Machine Learning Engineers, and Data Scientists who want to build, deploy, and manage LLM-powered systems at scale. Readers should have foundational knowledge of AI/ML concepts, basic NLP familiarity, and experience with Python programming to fully benefit from the content. Table of Contents 1. Unveiling the World of Large Language Models 2. Getting Started with MLOps 3. Mastering Prompt Management for LLMs 4. The Power of LLM Chaining 5. Retrieval Augmentation Generation 6. AI Agents and Autonomous Systems 7. Deploying Large Language Models 8. Model Monitoring and Evaluation 9. LLM Fine-tuning and Adaptation 10. LLM Security, Privacy, and Drift Detection 11. LLMOps with Langfuse 12. Real-World Examples and Emerging Trends Index

Code is read ten times more often than it is written. Any fool can write code that a computer can understand. Good programmers write code that humans can understand. "The Art of Clean Code" (inspired by Robert C. Martin) is the bible for software craftsmanship. Messy, "quick and dirty" code is a liability that slows down development, creates bugs, and frustrates teams.This handbook covers the timeless principles of professional software development. Learn the art of meaningful naming (variables should tell a story). Master the single-responsibility principle: functions and classes should do one thing and do it well. Understand why comments are often a sign of failure to express oneself in code.We dive into formatting, error handling, and the vital practice of refactoring. Follow the "Boy Scout Rule": always leave the code cleaner than you found it. Programming is not just a job; it is a craft. Take pride in your work. Write code that is elegant, efficient, and maintainable. Your future self (and your colleagues) will thank you.

Em uma era de transformações sem precedentes, na qual a inteligência humana encontra sua mais intrigante parceria: a inteligência artificial. Esta aliança, tão promissora quanto desafiadora, é o moto

De Newton à Inteligência Artificial é uma jornada intelectual e sensível pela história do pensamento científico — da maçã que caiu sobre Newton aos algoritmos que hoje aprendem conosco. Misturando fí

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

"The Creepy Mirror Why we hate robots that look too human" investigates the "Uncanny Valley." Coined by roboticist Masahiro Mori in 1970, the theory states that as a robot becomes more human-like, our empathy increasesuntil a certain point. When it becomes almost perfect but slightly off (dead eyes, stiff movement), our feeling plunges into revulsion and horror.Tech writer David Robot explores the evolutionary reasons. Is it a mechanism to avoid corpses? A way to detect disease? The book looks at examples from the movie The Polar Express to modern androids."The Creepy Mirror" explains the challenge for future design. It argues that to be accepted, technology must either be clearly a machine (like R2-D2) or indistinguishable from a human. Anything in the middle triggers our deepest biological alarms.

A migração para a computação em nuvem trouxe enormes vantagens, mas também uma responsabilidade compartilhada: enfrentar o crescente impacto ambiental dos data centers. Esse é um dos grandes desafios

Numa empresa, o operador de computador é responsável por dar suporte ao setor de tecnologia da informação e da comunicação. Ele deve saber instalar e desinstalar aplicativos, orientar sobre seu uso,

## Aprenda a criar um negócio online real, mesmo começando do zeroVocê não precisa ser especialista em tecnologia, marketing ou programação para começar no e-commerce. O que você precisa é **entender

Sempre tive muita dificuldade em usar a internet de forma lucrativa. Por isso após muita pesquisa inclusive usando a Inteligência Artificial, resolvi publicar esse livro.

Como as Big Techs moldam a educação quando capturam e monetizam dados de alunos e professores? Este livro convida docentes da Educação Profissional e Tecnológica — e da educação básica — a uma reflex

A captivating, uncanny journey to the frontier of human-computer interaction.Its hard to imagine a timelier book right now than this . . . you probably wont look at ChatGPT the same again.GQUrgent, humane. GUARDIANEngrossing.INDEPENDENTExistentially chilling.THE TIMESI 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.Already the clear winner of the most zeitgeisty book of 2026.THE NEW WORLD AS FEATURED IN THE NEW STATESMANS BEST NON-FICTION TO READ IN 2026