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Wiley-VCH - Computer Science
A Passion for Publishing
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AWS Certified AI Practitioner Study Guide
Quickly and intelligently prepare for the AIF-C01 exam and succeed in your first role as an AWS AI practitioner In AWS Certified AI Practitioner Study Guide: Foundational (AIF-C01) Exam, a team of veteran AWS and AI specialists walks you through an efficient and effective path to success on the challenging AIF-C01 exam. You'll demonstrate your knowledge and effectiveness with artificial intelligence (AI) and machine learning (ML), generative AI technologies, and their associated AWS services and tools, independent of any specific job role or industry title. You'll discover how to understand the appropriate uses of AI, ML, and generative AI technologies, when to use the various products and tools available, and how to ask relevant questions within your organization. The book covers the fundamentals of AI, ML, and generative AI, applications of foundation models, guidelines for responsible AI use, and security, compliance, and governance for AI solutions. Inside the book: * Complimentary access to the online Sybex learning environment, including practice tests and exams, chapter review questions, flashcards, and a searchable key term glossary * Material to help you become familiar with Amazon Web Services tools, including EC2, S3, Lambda, and SageMaker * Explanations of Amazon Web Services infrastructure, including discussions of AWS regions, availability zones, and edge locations Perfect for anyone interested in building AI/ML solutions on Amazon Web Services, AWS Certified AI Practitioner Study Guide is a must-read resource for everyone planning to take the AIF-C01 exam, as well as those interested in working--or already working--in this dynamic and exciting field. [320 Pages, Softcover]
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Food Engineering Automation with Robotics and AI
Revolutionize food manufacturing with the latest in automating technology Virtually every area of industry has been transformed by robotics and AI, which have automated production and increased efficiency in myriad ways. Until recently, food manufacturing was an exception to the trend. At present, however, the food manufacturing industry is in the process of a transformation which will see automation deliver the same levels of productivity and uniformity that have revolutionized other sectors of the economy. Food Engineering Automation with Robotics and AI is a comprehensive introduction to the areas of intersection between cutting-edge technologies and food manufacturing. Beginning with an overview of the basic principles of food engineering, the book then details applications of robotics and AI in this field, along with the way automation is integrated at every stage of food production. The structure of the book seamlessly blends theory and practice to maximize reader capacity to put its lessons into motion. Food Engineering Automation with Robotics and AI readers will also find: * Content aligning with several UN Sustainable Development Goals, including Zero Hunger; Industry, Innovation, and Infrastructure; and Responsible Consumption and Production * Real-world case studies throughout to show automating technologies revolutionizing food production * A consistent focus on sustainable food engineering, with attention to resource conservation, waste reduction, environmental impact mitigation, and more Food Engineering Automation with Robotics and AI is ideal for the growing, global market for food automation technologies in the coming years. [496 Pages, Hardcover]
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The Intelligent Universe
Uncover the universe's secrets with this essential guide that provides a comprehensive exploration of how artificial intelligence is revolutionizing modern astronomical research. Artificial intelligence (AI) is revolutionizing astronomy, enabling researchers to process vast datasets, uncover hidden patterns, and enhance observational precision like never before. This book explores this transformative synergy, bringing together insights from experts across the globe. Covering a wide spectrum of topics, including AI-driven data mining, exoplanet discovery, gravitational wave detection, and autonomous observatories, this book highlights the impact of machine learning, computer vision, and big data analytics on modern astrophysical research. From detecting transient celestial events to refining cosmic evolution models, this volume delves into the ways AI is reshaping our understanding of the cosmos. As we enter a new era of discovery, this guide serves as both a foundational reference and a forward-looking exploration of AI's expanding role in space science. Whether you are a student, researcher in astronomy or space science, or an AI practitioner, this book offers an invaluable resource on the frontiers of AI-driven astronomical research. Readers will find this volume: * Provides a balanced mix of fundamental concepts, practical applications, and future perspectives; * Designed to be informative and approachable, combining scientific insights, high-quality images, and detailed analyses to enhance understanding; * Explores how AI is transforming space exploration, telescope automation, and cosmic data processing, providing readers a future-focused perspective. Audience Academics, researchers, astronomers, astrophysicists, and industry professionals interested in the transformative power of AI for astrological applications. [528 Pages, Hardcover]
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Autonomous Flying Ad-Hoc Networks
Learn to leverage the power of Autonomous Flying Ad-Hoc Networks (FANETs) for everything from urban surveillance to disaster relief, and stay ahead in the rapidly evolving world of drone technology and AI. Flying ad-hoc networks (FANETS) are emerging as an innovative technology in the Unmanned Aerial Vehicles (UAV) space, which has proven its usefulness in urban surveillance, disaster management, and rescue operations. In FANETs, a swarm of UAVs are locally connected together through a base station and the nearby environment to gather the information. FANETs are able to cover larger distances than its predecessors, MANETs (Mobile Ad-hoc Networks) and VANETs (Vehicle Ad-Hoc Networks), making them an ideal solution for gathering vital data. As artificial intelligence is implemented across a number of industries, this technology has the capability to train large datasets. Researchers are exploring ways to improve AI algorithms and quantum computing using this technology. Autonomous Flying Ad-Hoc Networks offers comprehensive coverage of the fundamentals of FANET technology by comparing the differences between FANETs, MANETs, and VANETs, including their characteristics, features, and design models, and discussing the applications and challenges of FANET adoption. [288 Pages, Hardcover]
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Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
This book is a comprehensive guide for anyone in the aeronautical and aerospace fields who wants to understand and leverage the transformative power of artificial intelligence to enhance safety, optimize performance, and drive innovation. The field of aeronautical and aerospace engineering is on the brink of a transformative revolution driven by rapid advancements in artificial intelligence (AI). This book analyzes AI's multifaceted impact on the industry, exploring AI's potential to address complex challenges, optimize processes, and push technological boundaries with a focus on enhancing safety, security, innovation, and performance. By blending technical insights with practical applications, it provides readers with a roadmap for harnessing AI to solve complex challenges and improve efficiency in aeronautics. Ideal for those seeking a deeper understanding of AI's role in aeronautical and aerospace engineering, this book offers real-world applications, case studies, and expert insights, making it a valuable resource for anyone aiming to stay at the forefront of this rapidly evolving field. Readers will find this book: * Examines AI's transformative role in aerospace and aeronautics, from enhancing safety to driving innovation and optimizing performance; * Highlights real-time applications, addressing AI's role in boosting operational efficiency and safety in the aerospace and aeronautical industries; * Offers insights into emerging AI technologies shaping the future of aerospace and aeronautical systems; * Features real-world case studies on AI applications in autonomous navigation, predictive maintenance of aircraft, and air traffic management. Audience Aeronautical and aerospace engineers, AI researchers, students, and industry professionals seeking to understand and apply AI solutions in areas like safety, security, and performance optimization. [448 Pages, Hardcover]
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