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Generative AI in Chemical Engineering
English | 23 Jan. 2026 | ASIN: B0GJFNFPWT | 278 pages | PDF | 3.77 MB
Chemical engineering has always thrived at the intersection of theory, experimentation, and computation. From hand calculations to process simulators and first-principles models, each technological shift has expanded what engineers can design, optimize, and understand. Today, generative artificial intelligence marks a new inflection point. Unlike traditional tools that analyze predefined scenarios, generative models can propose novel molecules, processes, control strategies, and data-driven hypotheses, often at a speed and scale previously unimaginable. This book explores how these capabilities reshape the chemical engineer's toolkit, not as a replacement for fundamental principles, but as a powerful complement that augments human insight with machine creativity. Generative AI in Chemical Engineering is written for students, researchers, and practitioners seeking to navigate this emerging landscape with both ambition and rigor. It bridges core chemical engineering concepts, thermodynamics, transport, kinetics, separations, and systems engineering with modern generative methods such as large language models, diffusion models, and reinforcement learning. Through practical examples, case studies, and critical discussions, the book aims to demystify the technology, highlight its limitations, and articulate best practices for responsible use. Ultimately, it invites readers to reimagine how chemical engineering problems are formulated and solved in an era where intelligent machines can generate possibilities as readily as engineers evaluate them.

Generative AI and the Rise of Artificial General Intelligence: The Simplified yet Powerful Guide to Grasping the Fundamentals, Real-World Applications, and Ethical Challenges
English | 22 Dec. 2025 | ASIN: B0GBYPKV6G | 154 pages | Epub | 2.41 MB
Generative AI and the Rise of Artificial General Intelligence Master Generative AI and Artificial General Intelligence in just weeks-even if you're brand new to tech, pressed for time, or think AI is "only for coders." Are you overwhelmed by the rapid pace of AI innovation, unsure how to start, or frustrated by dense, jargon-filled textbooks? Curious how generative AI can boost your studies, accelerate your career, or unleash your creativity-but worried you'll get lost in technical details? If you answered "yes," you're not alone. Generative AI and the Rise of Artificial General Intelligence was written for learners, innovators, and professionals of all backgrounds. With a clear, supportive, and step-by-step approach, this book breaks down barriers and provides you with the tools, context, and confidence to thrive in the new era of AI. Here's just a glimpse of what you'll discover inside: The 7 core foundations of AI -from machine learning basics to the principles behind generative models, explained with relatable analogies and clear diagrams. Prompt engineering decoded: Craft effective prompts with practical examples and real-world applications for GPT, DALL·E, and more. Hands-on projects and exercises throughout: Apply concepts immediately with interactive activities and learning checkpoints. Real-world case studies in healthcare, finance, education, creative arts, and more. A practical roadmap for upskilling: Discover which AI tools, platforms, and languages (including no-code and low-code options) can give you a career edge. Current and future trends: Stay ahead with concise insights on multimodal models, AGI, and next-generation AI breakthroughs. The most common ethical dilemmas in AI -and a clear framework to navigate them responsibly. Troubleshooting made easy: Learn proven methods for solving compatibility, integration, and implementation challenges-no matter your experience level. A guided walkthrough for building your first generative AI project-with annotated examples and non-coding alternatives. Visual learning support: Clear diagrams, infographics, and real-world illustrations to make complex ideas stick. The truth about AI hype: Distinguish between real innovation and fleeting trends with critical thinking prompts. Keep your skills relevant: Follow a personalized, adaptable learning path with curated resources for ongoing mastery and growth. Insights from leading AI practitioners: Actionable lessons and real-world perspectives to inspire your journey. Join the AI revolution: Discover thriving communities, global learning platforms, and collaboration opportunities to grow your skills and make an impact. A curated digital toolkit: Access supplementary materials, exercises, and recommended learning resources to deepen your understanding. ...and much more! Worried you don't have enough time, tech skills, or background to succeed with AI? This guide was built for real life. Each chapter is designed for busy schedules, with digestible sections, hands-on exercises, and clear takeaways that make every minute count. You'll never get lost in technical jargon or outdated theory-only clear, up-to-date insights and practical steps that meet you where you are. Whether you're just starting or looking to deepen your expertise, you'll find a welcoming, empowering path forward. Don't let the future of AI pass you by-scroll up and click "Add to Cart" to unlock the knowledge, tools, and inspiration you need to thrive in the age of generative intelligence!

Generative AI & Large Language Models: Concepts, Architectures, Applications, and Deployment
English | January 2, 2026 | ASIN: B0GDRY8KTX | 82 pages | Epub | 1.49 MB
Generative Artificial Intelligence is transforming how humans create, learn, decide, and innovate. From intelligent chatbots and virtual assistants to breakthroughs in healthcare, education, and law, Large Language Models (LLMs) are redefining the boundaries of machine intelligence. This comprehensive book provides a structured, end-to-end exploration of Generative AI and LLMs , starting from foundational concepts and progressing to advanced architectures, real-world applications, deployment strategies, and future directions. Designed to align with UG and PG syllabi , the book bridges the gap between theory, implementation, and industry practice . Key topics include: Foundations of Artificial Intelligence and Generative Models Transformer architecture and attention mechanisms Large Language Models such as GPT, BERT, and LLaMA Training, fine-tuning, and prompt engineering Retrieval-Augmented Generation (RAG) and multimodal AI Diffusion models and text-to-image systems Bias, hallucination, explainability, and responsible AI Chatbots, virtual assistants, and domain-specific applications LLM deployment, MLOps, scaling, monitoring, and optimization Future trends and ethical governance of Generative AI With clear explanations, case studies, industry insights, and ethical perspectives , this book serves as a textbook, reference guide, and practical handbook for students, educators, researchers, and professionals aiming to understand and build next-generation AI systems.

Yuma Nakamura, "Generation of Highly Controllable Ytterbium Atom Array: A Hybrid System of Nuclear Spin and Optical Clock Qubits Towards Quantum Error Correction"
English | ISBN: 9819528356 | | pages | PDF | 9 MB
This book offers a comprehensive exploration of a novel hybrid quantum computing platform based on dual-isotope ytterbium atom arrays. It presents pioneering work toward fault-tolerant quantum computation using nuclear spin and optical clock qubits in a neutral-atom system. The central challenge addressed in this book is the implementation of quantum error correction (QEC) in neutral-atom architectures, particularly the need for mid-circuit measurements-reading out ancilla qubits without disturbing data qubits. To overcome this, the author develops a hybrid array composed of fermionic 171Yb (serving as nuclear spin data qubits) and bosonic 174Yb (serving as optical clock ancilla qubits). This innovative combination enables non-destructive state readout and low crosstalk between qubits, laying critical groundwork for QEC protocols. This book demonstrates efficient state initialization and coherent control of both types of qubits in large-scale tweezer arrays. Through precise manipulation and rearrangement techniques, a defect-free, dual-isotope array is constructed with high single-site fidelity and minimal dual occupancy. Crosstalk analysis reveals that 174Yb imaging light does not degrade the coherence of adjacent 171Yb nuclear spin qubits-an essential result for practical QEC. In parallel, the work reports the development of a high-power, narrow-linewidth ultraviolet laser at 325 nm to achieve coherent Rydberg excitation of ytterbium atoms. The laser system, which includes a Raman fiber amplifier and high-finesse cavity for noise suppression, enables MHz-order Rabi oscillations between metastable and Rydberg states. This achievement provides a path toward implementing high-fidelity two-qubit gates, a cornerstone of universal quantum computation. This book combines theoretical insights, advanced laser engineering, and precision atomic control to establish a scalable, neutral-atom-based quantum computing architecture. Its interdisciplinary approach makes it a valuable resource not only for physicists working in quantum optics and atomic physics but also for engineers and computer scientists interested in next-generation quantum technologies.

General Systems Theory By Lars Skyttner
2001 | 330 Pages | ISBN: 9810241755 | PDF | 21 MB
Systems theorists see common principles in the structure and operation of systems of all kinds and sizes. They promote an interdisciplinary science adapted for a universal application with a common language and area of concepts. This approach is seen as a means of not only overcoming the fragmentation of knowledge and the isolation of the specialist, but also finding new solutions to problems created by the earlier "solution of problems". This book introduces the systemic alternative. It is divided into two parts. The first is devoted to the historical background of the systems movement and presents thoughts and theories of the area. Basic concepts of general systems theory with well-known laws and principles are discussed, as well as related topics such as cybernetics and information theory. The second part deals with some of the common applications of systems theory within systems science, such as artificial intelligence, management-information systems and informatics. An attempt is made to predict the future of systems theory in a world apparently becoming fragmented and integrated at the same time.

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