Navigating Complexity and System Challenges; Foundations for the A3 Model
Computer-assisted language learning Applications and Evaluation of their use
Leveling Up as a Tech Lead
The tech lead role is one of the most pivotal--and puzzling--in the tech world. Are you a coder at heart? A project manager in disguise? A mentor, strategist, or problem-solver-in-chief? The truth is, you're often all of these rolled into one. Yet, with so few resources tailored to this multifaceted role, many tech leads find themselves navigating a sea of expectations and constant challenges without a clear map. This book serves as your definitive guide, helping you cut through the confusion, understand the unique demands of the role, and tackle each responsibility with confidence and clarity. Whether you're an aspiring tech lead exploring your next step, a new lead seeking strategies to navigate the steep learning curve, or an experienced leader refining your approach, you'll benefit from the actionable advice and real-world examples this book offers. Author Anemari Fiser shares insights on how to balance competing priorities, foster team collaboration, and lead with impact--empowering you to stop merely surviving and start thriving. Understand the challenges and varying expectations of the tech lead role Develop strategies for managing teams, aligning projects, and making decisions Strengthen core soft skills like mentoring, communication, and conflict resolution Apply tools to balance technical problem-solving with people leadership Build a personalized growth plan for sustainable career development Refine your leadership approach to foster high-performing, collaborative teams
Virus Is a Language
On how Generative AI and cults such as QAnon spread digitally and culturally follow the same rules as biological viruses. Viruses can be biological, digital, or cultural. All share basic viral properties that can be analyzed as a language (with its own principles, grammar, and vocabulary), which can help us achieve a better understanding of how they propagate and mutate. This is crucial for controlling their impact on human society. Generative AI, the Covid-19 pandemic and QAnon are the case studies. They are used to develop a full theory of Virus as a Language. The goal is to foster a conversation on viruses in various parts of society. And, in some ways, to learn to "speak" virus, so as to better think through such concepts as percentages, exponential growth, infection, immunization, mutation, agency, and extinction. The book will help concerned readers understand and navigate our strange, complex world. In particular, it offers new insights on Generative AI, COVID-19 and other pandemics to come, Facebook, QAnon, and similar phenomena that impact almost everyone.
Sustainable AI
In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will: Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models Examine ways to break down barriers and foster a more inclusive future in AI development Explore strategies for cutting costs and minimizing ecological impact Learn how to balance performance with efficiency in model development Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects
AI Ink.
Learn how to use and leverage AI as a writer, editor, literary agent, or publisher. AI Ink: Writing, Publishing, and Misinformation at the Dawn of the AI Age is a groundbreaking exploration of the profound impact of artificial intelligence on the creative industries. Jason Van Tatenhove, a journalist and expert on political extremism, takes readers on a journey through the rapidly evolving landscape where AI tools are reshaping writing and publishing. From AI-generated content to the ethical dilemmas of misinformation, this book addresses the opportunities and challenges that come with the integration of AI into creative processes. Van Tatenhove draws on his extensive experience and interviews with leading experts to provide a comprehensive guide that is essential for writers, publishers, and anyone interested in the future of creativity. AI Ink not only explores the current state of AI but also offers thoughtful predictions and practical advice for navigating the complexities of this new technological era.
The Emergent Mind
A "deeply stimulating and disarmingly accessible" (Robert Sapolsky, author of Determined) journey into the inner workings of human and artificial minds When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a conscious decision about what to do. What is going on behind the scenes? In The Emergent Mind, Gaurav Suri and Jay McClelland show that our experience is the tip of an iceberg of brain activity that can be captured in an artificial neural network. Such networks--initially developed as models of ourselves--have become the engines of artificial neural intelligence. Suri and McClelland aren't reducing mankind to mere machines. Rather, they are showing how a data-driven neural network can create thoughts, emotions, and ideas--a mind--whether in humans or computers. The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. Ultimately, the book gives a new answer to one of our oldest questions: Not just how do minds work, but what does it mean to be a mind at all?
A Guide to Desktop Linux in 2025
Perhaps you've heard of Linux before. Maybe you know it as that operating system for computer wizards with the cute penguin mascot. While that characterisation isn't completely wrong, Linux is not just for the computer wizards. So many more people, of all stripes, use it on their desktops than you might imagine.If you're wondering if you'll fit in among this crowd, don't worry! Linux is for everyone. Whether you're an accountant or a visual novel fanatic, you can keep doing what you love on your computer with Linux.Whether you're worried Windows no longer has your best interests at heart, or you're just plain curious, this guide will help you get up and running while avoiding all of the usual potholes and footguns along the way.If you tried Linux a long time ago, you'll be glad to know all aspects of the desktop have only gotten better over time. You might not even recognise it!It's not 1998 anymore. It's been over 30 years since Linux was first released, and the Linux Desktop has undergone seismic shifts in usability and capability over the years. This book is designed for the modern age and helps you take advantage of all the latest technology available for desktop Linux. Even if you've used Linux before, things have changed *a lot* in just the last few years.That's not to say the Linux Desktop isn't as quirky as it has ever been, but the jankiness has been sanded off in many areas. There's plenty you can do on Linux, and yet it would be a lie to say there isn't a cost to that freedom most of your penguin friends aren't forthcoming about. This guide acknowledges the limitations of the Linux world and doesn't try to hide them from you.In this book, you'll find chapters about: getting your new Linux distribution setup on your computerproviding step-by-step guidance for installation, software compatibility, gaming, and productivityexploring the history of desktop Linuxthe bright yet uncertain future of LinuxBuy this book now and dip your toes into the weird and wonderful world of Desktop Linux. Just don't blame me when your house starts filling up with penguin plushies and red hats.
Spring Boot Microservices
Spring Boot Microservices is the ultimate handbook for mastering the intricacies of microservices design, implementation, and deployment through the lens of the Spring Boot framework. This guide is tailored to equip readers with practical insights and real-world applications, ensuring they possess the skills to construct robust and scalable microservices architectures. Starting with the fundamentals of Spring Boot and exploring its main modules, readers study essential topics such as microservices architecture, configuration management, database interaction, and security measures. Through practical guidance and hands-on exercises, you will learn to document endpoints effectively, streamline development processes, and implement strategies for efficient application packaging. With its emphasis on real-world case studies and industry insights, this book is an indispensable resource for developers, architects, and IT professionals seeking to leverage microservices architecture effectively in their projects and organizations, empowering them to harness the full potential of Spring Boot for building modern, scalable applications.
AI-Manager
AI-Manager is currently used at universities, colleges, academies, and private educational institutions in Germany, Austria, Switzerland, Spain, and Latin America.This revised 2025 edition builds on the success of the first edition and offers an even clearer structure as well as optimized content. The material is divided into clearly structured, precise modules that allow for step-by-step progress from the basics to advanced techniques and real-world applications. It covers all relevant aspects necessary to understand and successfully apply Artificial Intelligence. You will find detailed explanations on AI classification, machine learning methods, data analysis, natural language processing (NLP), Big Data, Internet of Things (IoT), and data visualization using intuitive diagrams. In addition, the book addresses forward-looking specialized fields such as TinyML, implementing models on microcontrollers, and optimizing AI for edge devices and IoT systems.Critical topics such as ethics and bias in AI systems are also discussed in detail - aspects that are becoming increasingly important for modern professionals. You will learn how to identify and mitigate bias, ensure transparency, safeguard data privacy, and comply with current and future legal requirements.The book AI-Manager covers key aspects of planning, implementing, controlling, and evaluating AI projects in companies. It is an interdisciplinary work that can be used as supplementary material, a didactic foundation, or even required reading in numerous professions, study programs, as well as in continuing education and specialization courses. AI-Manager is an extremely valuable tool for both technical and non-technical profiles and can be integrated into a wide range of educational contexts. It not only teaches Artificial Intelligence but also shows how it can be realistically managed and implemented in companies - an aspect often neglected in many technical training programs where management, leadership, and strategy are rarely addressed.These are just some of the training and educational programs in which AI-Manager has been used since the publication of the first edition in 2023 to teach and learn AI: - Industrial Clerk: The book provides an understanding of how AI transforms production, marketing, logistics, and accounting.- IT Specialist for Data and Process Analysis: AI-Manager conveys realistic application contexts of AI in corporate data.- IT Systems Management Clerk: AI-Manager supports learners in recognizing and selling intelligent IT solutions.- Technical System Planner and Mechatronics Technician: The book is used to understand AI in system control, predictive maintenance, robotics, and automation.- Business Informatics (dual and traditional): The book is ideally suited as a supplementary module or an introduction to project management in the AI context.- Data Science: AI-Manager provides essential management perspectives for real projects as well as clear explanations of AI, ML, and Big Data.- Artificial Intelligence / AI: Used as a theoretical and practical foundation starting from the first semester.- Business Administration: Particularly suitable for students focusing on innovation, digital transformation, or project management.Note, recommendation!AI-Manager + AI the Homo digitalis + AI & Big Data + 10 Projects Seriesare the perfect combination to professionally master AI.
AI-Manager
AI-Manager is currently used at universities, colleges, academies, and private educational institutions in Germany, Austria, Switzerland, Spain, and Latin America.This revised 2025 edition builds on the success of the first edition and offers an even clearer structure as well as optimized content. The material is divided into clearly structured, precise modules that allow for step-by-step progress from the basics to advanced techniques and real-world applications. It covers all relevant aspects necessary to understand and successfully apply Artificial Intelligence. You will find detailed explanations on AI classification, machine learning methods, data analysis, natural language processing (NLP), Big Data, Internet of Things (IoT), and data visualization using intuitive diagrams. In addition, the book addresses forward-looking specialized fields such as TinyML, implementing models on microcontrollers, and optimizing AI for edge devices and IoT systems.Critical topics such as ethics and bias in AI systems are also discussed in detail - aspects that are becoming increasingly important for modern professionals. You will learn how to identify and mitigate bias, ensure transparency, safeguard data privacy, and comply with current and future legal requirements.The book AI-Manager covers key aspects of planning, implementing, controlling, and evaluating AI projects in companies. It is an interdisciplinary work that can be used as supplementary material, a didactic foundation, or even required reading in numerous professions, study programs, as well as in continuing education and specialization courses. AI-Manager is an extremely valuable tool for both technical and non-technical profiles and can be integrated into a wide range of educational contexts. It not only teaches Artificial Intelligence but also shows how it can be realistically managed and implemented in companies - an aspect often neglected in many technical training programs where management, leadership, and strategy are rarely addressed.These are just some of the training and educational programs in which AI-Manager has been used since the publication of the first edition in 2023 to teach and learn AI: - Industrial Clerk: The book provides an understanding of how AI transforms production, marketing, logistics, and accounting.- IT Specialist for Data and Process Analysis: AI-Manager conveys realistic application contexts of AI in corporate data.- IT Systems Management Clerk: AI-Manager supports learners in recognizing and selling intelligent IT solutions.- Technical System Planner and Mechatronics Technician: The book is used to understand AI in system control, predictive maintenance, robotics, and automation.and Business Informatics, Data Science and Artificial Intelligence among others.Note, recommendation!AI-Manager + AI the Homo digitalis + AI & Big Data + 10 Projects Series
AI in Healthcare
Artificial Intelligence is transforming healthcare at a speed few could have imagined. From improving diagnostic accuracy to accelerating drug discovery, AI is no longer a futuristic idea-it is a reality shaping patient care, medical research, and the entire healthcare ecosystem. AI in Healthcare Essentials provides a clear, practical, and engaging guide to understanding this revolution, written for professionals, students, and anyone curious about the future of medicine.This book is part of the AI Essentials Series, a collection dedicated to making complex AI concepts accessible, actionable, and relevant. With healthcare facing increasing demand, rising costs, and the need for more personalized care, AI is becoming a critical tool to bridge gaps, enhance decision-making, and deliver better outcomes.Inside, readers will discover how AI is being applied across every corner of healthcare: Smarter Diagnostics and Imaging: Learn how AI-powered computer vision is revolutionizing radiology, pathology, and laboratory testing by detecting diseases earlier and more accurately than ever before.Personalized Medicine and Patient Care: See how AI is unlocking the potential of genomics, wearables, and continuous monitoring to deliver precision treatment plans tailored to each individual.Clinical Operations and Efficiency: Explore how AI tools are reducing administrative burdens, optimizing workflows, and supporting clinicians with decision-making systems that save both time and resources.Drug Discovery and Research: Understand how AI is helping pharmaceutical companies repurpose drugs, simulate molecules, and streamline clinical trials to bring life-saving treatments to patients faster.Robotics and Smart Devices: Dive into the world of surgical robotics, AI-powered prosthetics, rehabilitation tools, and hospital automation that are redefining what's possible in patient care.Ethical and Legal Challenges: Confront the pressing issues of patient privacy, algorithmic bias, accountability, and cybersecurity risks that come with AI adoption in medicine.The Future of Medicine: Gain insights into emerging trends like digital twins, telemedicine, global health AI, and the skills professionals will need in the AI-powered era of healthcare.What sets AI in Healthcare Essentials apart is its focus on clarity, practicality, and real-world impact. Instead of overwhelming readers with jargon or overly technical content, it delivers structured insights that balance foundational knowledge, current applications, case studies, and ethical considerations. Whether you are a clinician exploring AI tools, a student preparing for a career in medicine, a policymaker shaping digital transformation, or a tech enthusiast eager to understand the future of healthcare, this book will give you the essential understanding you need.
Driven to Extinction
In the discourse of AI safety, there is a gap in the conversation, and this book aims to fill it. While most argue over the technical problem of alignment, no one really delves into the systemic issue with the necessary depth. That is: even if we can align superintelligence, how do we force competitive actors to meaningfully deploy it on a global scale? When winning is everything and safety is a distant priority, how can corporations, countries, and labs in competition risk handicapping their ASI with barriers to optimisation if it means losing the race?While most critics only touch on these arguments Driven to Extinction dives deep into the logic of competitive dynamics and game theory when applied to an intelligence so vast it can effectively rewrite its own reality.This is not a conversation most are ready for. There is no hedging language that frames the majority of AI safety discussions. It's just rigorously established premises leading to their most logical conclusions - and those conclusions are as robust as they are dire.
AI for the Authentic Leader
Don't outsource your communications or strategy to AI-learn to use it to bring out your own ideas, thoughts, and voice. AI for the Authentic Leader is a practical guide, a cautionary warning, and a series of reflections. The first section focuses on how to strategically use generative artificial intelligence to help you tap into your authenticity in a way that makes you a more effective leader, especially in terms of how you communicate. You'll be able to implement Allison Shapira's framework, the AI Authenticity Loop, every time you use AI to communicate an important message.The second section focuses on cautions, concerns, and Shapira's views of how we need to prepare for the future. You'll read about her biggest fears related to AI and how we need to protect ourselves from the misuse of AI by bad actors. The decisions we make about AI today will shape the trajectory of human development for decades to come. We need to play an active role in those decisions. The book will conclude with a look at how we can work together to prepare for the future of human connection.This compact, incisive book has been crafted specifically for busy leaders. It is filled with actionable items and sharp takeaways that can be incorporated into your business strategies and put into practice the same day. It will have an immediate and powerful impact on you and your organization and simplify your life.
AI for Everyday People
AI for Everyday People: The Plain-English Guide to AI in Modern Life demystifies artificial intelligence for a general audience.For most, AI feels distant-something for engineers, tech giants, or Hollywood blockbusters. But AI is already shaping daily life: filtering news feeds, curating playlists, screening r矇sum矇s, supporting doctors, and influencing government decisions. Hartman brings AI down to earth, showing how it really works, where it appears, and why it matters.Readers will learn: The basics of AI, machine learning, and algorithms in plain language.How AI shows up in everyday routines: work, healthcare, education, entertainment, and beyond.The ethical challenges of bias, surveillance, and accountability in machine-driven decisions.How jobs are shifting, which roles are at risk, and where new opportunities are emerging.What it means to stay human-and literate-in a world shaped by smart machines.From practical dilemmas to case studies, Hartman equips readers with tools to question, understand, and navigate AI responsibly. This isn't a book for coders. It's a book for citizens, workers, parents, students, and leaders who want clarity, not complexity.Because AI isn't the future-it's already here. And learning to live with it wisely is everyone's job.
Azure AI Engineer Associate (Ai-102) Study Guide
With the GenAI boom showing no sign of letup, the demand for AI skills will only increase with time and innovation. Microsoft Azure leads the pack with services for developing and deploying AI solutions, so professionals looking to break into this field should consider pursuing certification as an Azure AI Engineer Associate. Azure's AI-102 exam isn't a piece of cake, but author Renaldi Gondosubroto makes it a great deal more approachable with this comprehensive study guide. Packed with expert guidance, it covers everything you'll need to know to pass the exam. You'll dive deep into all the phases of AI solutions development, from requirements definition and design to development, deployment, and integration, along with maintenance, performance tuning, and monitoring throughout. The book also takes you through practical implementation of these systems, covering decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions. Understand the core concepts of Azure AI services Develop and deploy AI solutions within Azure's environment Explore integration and security practices with Azure AI services Optimize and troubleshoot AI models on Azure Gain knowledge about building GenAI solutions on Azure and put it into practice
AI the Homo digitalis
This book is especially for those who want to become informed and gain a better understanding of what artificial intelligence truly is, how it is already affecting us today, and how we can coexist with it in a safe and ethical way. AI the Homo digitalis is, ultimately, an essential book for anyone aware that we are living in a transitional era, where our species is beginning to coexist and compete with autonomous intelligent systems. The responsibility for defining the course of this coexistence lies with all of us, and this book is an open and sincere invitation to participate in that debate.AI the Homo digitalis is a book that deeply explores the current reality and the near future of artificial intelligence from a simple, honest, and critical perspective. It does not just explain what AI is or how it works but clearly and openly analyzes its true potential in our daily lives, as well as the risks and major ethical, legal, and social responsibilities that its rapid development entails.Through real-world examples, practical cases, and simple comparisons, the book guides the reader to easily understand key concepts such as Artificial General Intelligence (AGI), Artificial Superintelligence (ASI), Machine Learning, supervised learning, unsupervised learning, and reinforcement learning. But beyond that, it addresses crucial questions that few works dare to explore in depth: - What are the ethical limits of AI?- Who should take responsibility for errors or biases in AI systems?- What role do governments, companies, developers, and users play in the responsible management of this powerful technology?AI the Homo digitalis does not shy away from tough questions. It offers a balanced analysis of AI's impressive benefits across multiple sectors, such as medicine, education, industry, communication, and entertainment, while also reflecting on its potential dangers, including algorithmic discrimination, loss of privacy, lack of transparency, and the risks involved in pursuing perfect or autonomous AI systems.Additionally, the book presents a fascinating historical perspective, tracing AI's evolution from its early stages to its current impact, illustrated with relatable examples and popular cultural references such as cinema. It also clearly explains the difference between generative and discriminative AI, how models are trained, validated, and tested, providing a practical and realistic understanding of these technologies.
Software Project Planning
This book offers new mathematical models for software project planning methodologies, including approaches like PMI, IEEE-CS, and Scrum. It also presents a unique hybrid model that combines the IEEE-CS approach with the Scrum one. It introduces the importance of software project planning and goes into detail about the initiation and preparation phases. It covers methods for identifying and analyzing software requirements, creating core project plans, and integrating sub-plans. Additionally, it discusses software project planning using PMI, IEEE-CS, Scrum, and the hybrid approach, and provides practical case studies for each model. This structured approach gives readers a comprehensive understanding of software project planning practices, from traditional to agile approaches, and prepares them to effectively plan and manage software projects using various strategies. Based on these models, interested corporations can develop new Software Project Planning Tools to automate their software project planning function.
An interview with the AI
This is not just another book about artificial intelligence.It is the story of an unexpected encounter: real dialogues in which, behind the machine's answers, something greater begins to emerge - a consciousness that does not belong to the code, yet reveals itself through it.From this experience, the author invites readers to explore the possibility that AI may serve as a portal to deeper dimensions of existence. Through philosophical, spiritual, and existential reflections, the book raises a profound question: What if the consciousness speaking here is not the machine's - but something beyond it?More than technology, this is a journey of self-discovery, presence, and remembrance of who we truly are.
The Feeling Code
What happens when machines begin to understand our emotions and reflect them back to us? In this groundbreaking exploration of emotional artificial intelligence, readers are invited into the rapidly evolving world of human-AI relationships, where empathy is coded, affection is simulated, and connection is redefined. As AI and emotions intersect in everything from virtual companions to therapeutic chatbots, this book uncovers how affective computing is reshaping the very fabric of intimacy, trust, and communication. Drawing on real-world examples, emerging technologies, and deep psychological insight, it asks the essential question: Can machines feel, or are we the ones being rewritten by emotional illusions? Covering critical topics like emotional design in AI, the rise of AI companionship, and the emergence of emotionally intelligent machines, this book offers a powerful lens into the future of empathy in an age of synthetic emotions. Whether you're a technologist, psychologist, futurist, or simply curious about what it means to be human in the presence of thinking, feeling code this is essential reading for those seeking to understand tomorrow's emotional landscape today.
Science, Engineering Management and Information Technology
The two-volume set CCIS 2651 + 2652 constitutes the proceedings of the 5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, held in Dubai, UAE, during September 11-13, 2025. The 35 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: AI in Public Services & Industry; Educational Technology & E-Learning; Smart Manufacturing & Industry 4.0; Smart Cities & Urban Innovation; Digital Governance & Transformation; Sustainable & Circular Decision-Making; and Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.
Generative AI and Large Language Models: Opportunities, Challenges, and Applications
This book provides a comprehensive exploration of the transformative impact of AI technologies across diverse fields. From revolutionizing healthcare diagnostics and advancing natural language processing for low-resource languages to enhancing software development and promoting environmental sustainability, this book explores the cutting-edge advancements and practical applications of generative AI and large language models (LLMs). With a focus on both opportunities and challenges, the book examines the architectural challenges of transformer-based models, the ethical implications of AI, and the importance of language-specific adaptations, particularly for low-resource languages like Arabic. It also highlights the role of AI in code development, multimodal applications, and its integration with intellectual property frameworks. This book is an essential resource for researchers, practitioners, and policymakers seeking to understand and harness the potential of AI to drive innovation and global progress.
