Integrated Uncertainty in Knowledge Modelling and Decision Making
Neural Network Methods for Dynamic Equations on Time Scales
Drug Discovery and Telemedicine
Our proposed book emerges in response to the critical need for an interdisciplinary resource that encapsulates the burgeoning role of artificial intelligence (AI) in reshaping drug discovery and telemedicine. As these sectors witness transformative changes driven by AI technologies, there's a pressing demand for a comprehensive guide that navigates through these advancements, offering insights, methodologies, and practical applications to professionals at the forefront of healthcare and pharmaceutical research. At its core, the book delves into the intricate ways in which AI and machine learning algorithms are being harnessed to streamline the drug development process, from initial discovery through to clinical trials, and how these technologies are concurrently revolutionizing the delivery of healthcare services via telemedicine. Specific focus areas include the application of deep learning in identifying novel drug candidates, AI-driven predictive models for pharmacokinetics and pharmacodynamics, automation in laboratory research, and the integration of AI in diagnostic processes, personalized medicine, and patient monitoring systems. Each chapter not only explores current state-of-the-art methodologies and case studies but also critically examines challenges, such as data privacy, ethical considerations, and the need for robust, interpretable models that can be trusted by healthcare professionals and patients alike. Furthermore, the book places a strong emphasis on the synergistic potential of combining AI with telemedicine, illustrating how these technologies can expand access to healthcare, improve the accuracy of remote diagnoses, and enable continuous, data-driven patient care. By providing a panoramic view of current trends, technological innovations, and future directions, the book aims to serve as a pivotal reference for scientists, researchers, clinicians, and policymakers involved in drug discovery and healthcare delivery. In conclusion, this book stands as an essential compendium for specialists seeking to navigate the complexities and harness the opportunities presented by AI in the pharmaceutical and healthcare industries. It offers a critical, in-depth exploration of the transformative impact of AI technologies, underscoring their relevance and potential to dramatically enhance drug discovery and telemedicine practices. This publication not only equips its target audience with the knowledge to lead innovation in their fields but also engages with the broader ethical, social, and practical implications of AI, making it an invaluable resource for advancing towards more effective, efficient, and accessible healthcare solutions. The book is significant for several reasons: Interdisciplinary Appeal: It serves as a critical resource for professionals and researchers across the fields of computer science, pharmaceutical sciences, and healthcare, facilitating a deeper understanding of AI's potential and fostering interdisciplinary collaborations. Innovation in Drug Discovery: By highlighting novel AI methodologies in drug discovery, the book offers insights into how these technologies can shorten the development timelines, reduce costs, and increase the success rates of new therapies, which is crucial for addressing unmet medical needs. Revolutionizing Telemedicine: The detailed discussion on AI's role in telemedicine illustrates how these advancements can enhance access to healthcare, improve the quality of care, and make healthcare systems more efficient, especially in remote and underserved areas. Ethical and Regulatory Considerations: It likely addresses the ethical, privacy, and regulatory challenges associated with implementing AI in healthcare, offering guidelines for navigating these complexities while maximizing patient benefits. Future Directions: By exploring current trends and future possibilities, the book not only serves as a repository of current knowledge but also
Computational Intelligence for High-Dimensional Machine Learning
Human and Artificial Rationalities. Advances in Cognition, Computation, and Consciousness
Microsoft Identity and Access Administrator SC-300 Exam Guide - Second Edition
Blockchain and Digital Twin for Smart Healthcare
The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient.
Advanced Snowflake
As Snowflake's capabilities expand, staying updated with its latest features and functionalities can be overwhelming. The platform's rapid development gave rise to advanced tools like Snowpark and the Native App Framework, which are crucial for optimizing data operations but may seem complex to navigate. In this essential book, author Muhammad Fasih Ullah offers a detailed guide to understanding these sophisticated tools, ensuring you can leverage the full potential of Snowflake for data processing, application development, and deploying machine learning models at scale. You'll gain actionable insights and structured examples to transform your understanding and skills in handling advanced data scenarios within Snowflake. By the end of this book, you will: Grasp advanced features such as Snowpark, Snowflake Native App Framework, and Iceberg tables Enhance your projects with geospatial functions for comprehensive geospatial analytics Interact with Snowflake using a variety of programming languages through Snowpark Implement and manage machine learning models effectively using Snowpark ML Develop and deploy applications within the Snowflake environment
Genai on AWS
The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.
AI for Beginners
Feeling overwhelmed by AI jargon and endless resources? Wondering how to get hands-on AI experience in this fast-paced field without losing your mind? Many beginners struggle, but with this step-by-step guide, that can change.Here's what you'll uncover: - A 31-day plan to master AI and reshape your tech perspective - Three beginner-friendly projects to apply AI concepts, such as voice assistants and recommendation systems- Navigating AI's ethical and societal impacts - AI's role in healthcare, finance, and marketing- A guide for integrating AI into your career, especially in marketing and data analysis - Debunking common AI misconceptions - A beginner's guide to AI programming languages like Python- Interactive exercises to elevate you from novice to competent AI practitioner...and more! Do you think you can't handle it because you're not tech-savvy? This book simplifies complex ideas into manageable steps. Unlike rapidly outdated guides, it offers ongoing insights into the latest trends and advancements. This is more than a book; it's a reliable ongoing resource.Whether for career growth, personal development, or curiosity, this guide equips you with the tools to succeed.Ready to tackle AI jargon and gain practical experience? Scroll up and click "Add to Cart" now!
Building Personality-Driven Language Models
This book provides an innovative exploration into the realm of artificial intelligence (AI) by developing personalities for large language models (LLMs) using psychological principles. Aimed at making AI interactions feel more human-like, the book guides you through the process of applying psychological assessments to AIs, enabling them to exhibit traits such as extraversion, openness, and emotional stability. Perfect for developers, researchers, and entrepreneurs, this work merges psychology, philosophy, business, and cutting-edge computing to enhance how AIs understand and engage with humans across various industries like gaming and healthcare. The book not only unpacks the theoretical aspects of these advancements but also equips you with practical coding exercises and Python code examples, helping you create AI systems that are both innovative and relatable. Whether you're looking to deepen your understanding of AI personalities or integrate them into commercial applications, this book offers the tools and insights needed to pioneer this exciting frontier.
Design, Learning, and Innovation
This book constitutes the refereed proceedings of the 9th EAI International Conference on Design, Learning, and Innovation, DLI 2024, held virtually, during November 7-8, 2024. The 11 full papers included in this book were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Using Immersive Technologies for Learning, Accessibility, and Technological Innovation; and Engaging Learners through Gamification, Playful Design, and Generative AI.
The Military Metaverse
The Military Metaverse explores the impact that the Metaverse is having today on how the world's militaries procure, maintain, train, plan and fight, and how the Metaverse presents new challenges and opportunities for future conflict.The military were early adopters of Virtual Reality and Augmented Reality technologies and wider simulation systems. Before 2010 they were one of the few sectors that could afford the technology, and millions of military R&D dollars went into developing and understanding these technologies. However, as the democratisation of metaverse technologies has happened over the past decade there is a danger that militaries have been overtaken and caught short, encumbered with expensive legacy systems, sold and maintained by expensive prime contractors, whilst the gaming and consumer market has cheaper and more innovative and agile systems. The book provides a history of the use of metaverse technologies in the military, particularly in the areas of design, maintenance, training, planning and operations. It then examines the current state of the art in these areas and the opportunities that are available from the current generation of consumer-driven approaches. The drivers for, challenges to, and paths towards an enterprise approach to the Military Metaverse are then presented. The book explores the military use of social virtual worlds, of early work done by defence and security organisations in worlds such as Second Life, and how such environments could become important for intelligence as well as influence operations in the future. Finally, the book will consider what war in the Metaverse might look like, both in terms on in-world activities and the impact of cyber-war on the Metaverse itself.It should be of interest to all militaries across the world, the industries that support them, and those in academia and the wider public with an interest in the military and defence.
The Military Metaverse
The Military Metaverse explores the impact that the Metaverse is having today on how the world's militaries procure, maintain, train, plan and fight, and how the Metaverse presents new challenges and opportunities for future conflict.The military were early adopters of Virtual Reality and Augmented Reality technologies and wider simulation systems. Before 2010 they were one of the few sectors that could afford the technology, and millions of military R&D dollars went into developing and understanding these technologies. However, as the democratisation of metaverse technologies has happened over the past decade there is a danger that militaries have been overtaken and caught short, encumbered with expensive legacy systems, sold and maintained by expensive prime contractors, whilst the gaming and consumer market has cheaper and more innovative and agile systems. The book provides a history of the use of metaverse technologies in the military, particularly in the areas of design, maintenance, training, planning and operations. It then examines the current state of the art in these areas and the opportunities that are available from the current generation of consumer-driven approaches. The drivers for, challenges to, and paths towards an enterprise approach to the Military Metaverse are then presented. The book explores the military use of social virtual worlds, of early work done by defence and security organisations in worlds such as Second Life, and how such environments could become important for intelligence as well as influence operations in the future. Finally, the book will consider what war in the Metaverse might look like, both in terms on in-world activities and the impact of cyber-war on the Metaverse itself.It should be of interest to all militaries across the world, the industries that support them, and those in academia and the wider public with an interest in the military and defence.
The Turing Test Argument
This book departs from existing accounts of Alan Turing's imitation game and test by placing Turing's proposal in its historical, social, and cultural context.It reconstructs a controversy in England, 1946-1952, over the intellectual capabilities of digital computers, which led Turing to propose his test. It argues that the Turing test is best understood not as a practical experiment, but as a thought experiment in the modern scientific tradition of Galileo Galilei. The logic of the Turing test argument is reconstructed from the rhetoric of Turing's irony and wit. Turing believed that learning machines should be understood as a new kind of species, and their thinking as different from human thinking and yet capable of imitating it. He thought that the possibilities of the machines he envisioned were not utopian dreams. And yet he hoped that they would rival and surpass chauvinists and intellectuals who sacrifice independent thinking to maintain their power. These would be transformed into ordinary people, as work once considered 'intellectual' would be transformed into non-intellectual, 'mechanical' work.The Turing Test Argument will appeal to scholars and students in the sciences and humanities and all those interested in Turing's vision of the future of intelligent machines in society and nature.
The Essential Guide to Prompt Engineering
This book provides a concise yet comprehensive guide to mastering the entire spectrum of prompt engineering, from fundamental concepts to pro-level techniques and essential security considerations. Filled with practical examples and detailed explanations, it delivers actionable knowledge that can be directly applied to AI projects. The guide includes dedicated chapters on key challenges and security issues, equipping readers to overcome significant obstacles they may encounter. It outlines a clear pathway to the art and science of prompt engineering, offering the tools and insights for a successful journey into the rapidly evolving world of generative AI. With its holistic approach and coherent structure, this book is an indispensable resource for AI developers, professionals in related fields, enthusiasts, graduate and undergraduate students, and anyone keen to enhance the efficiency of their interactions with AI models.
User Engagement Research and Practice
This book presents a holistic overview of user engagement, which has become an increasingly important subject for a variety of industry and academic fields, including engineering, computer science, and information science. The author begins with a definition of user engagement and an explanation of the theoretical background of the topic. The book then covers methodological approaches and examines some of the broader factors that influence user engagement. The author explains methods for measuring user engagement and evaluates the efficacy of each one. The book includes examples from recent research studies throughout, describing user engagement in different settings with a variety of digital information systems.
Computer Vision, Pattern Recognition, Image Processing, and Graphics
This book constitutes the refereed proceedings of the 8th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2023. The papers presented in this volume were carefully reviewed and organized in topical sections on vision and geometry, learning and vision, image processing and document analysis, and detection and recognition.
Infrastructure as Code
The past decade has seen cloud and infrastructure as code move out of shadow IT and startups and into the mainstream. Many organizations rushed to adopt new technologies as part of their transformation into digital businesses, creating a sprawl of unmaintainable infrastructure codebases. Now, there is a need to consolidate cloud-based systems into mature foundations for sustainable growth. With this book, Kief Morris describes patterns and practices for building and evolving infrastructure as code. The third edition provides a broader context for infrastructure, explaining how to design and implement infrastructure to better support the strategic goals and challenges of an organization, such as supporting growth while better managing costs. This book covers: Foundational concepts, including an exploration of declarative and procedural infrastructure languages, where infrastructure code fits into a comprehensive platform strategy and enterprise architecture, and how to test and deliver infrastructure code. Infrastructure architecture, drawing on lessons learned from software design and engineering to build infrastructure codebases that can be evolved and scaled to enable growth and adapt to changing needs. Patterns for building infrastructure to support platform services across the complicated, varied landscapes of real-world IT systems, from physical hardware to virtual servers to cloud-native clusters and serverless workloads. Workflows and operating models that combine automation and cloud with forward-thinking approaches like Agile and DevOps for rigorous governance of compliance, cost, security, and operational quality.
Industry Innovation in the Era of Artificial Intelligence
This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. The book will spark fresh thinking and provide a driving force for global industrial innovation. Author Xiaomei Wang, Founder and CEO of PathoAI, former Global Leader of Big Data and Analytics at IBM, as well as General Manager of IBM Growth Markets Unit Big Data Centers, draws on over 20 years of experience in data analytics and AI to offer unique insights and a rich collection of compelling industry case studies.Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a roadmap for harnessing its potential. By offering a blend of theoretical insight and practical guidance, it empowers readers to embrace AI as a catalyst for innovation and sustainable growth in their respective fields.
China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs
Humanities in the Time of AI
Why AI offers a chance for the humanities to strengthen their relevance and significance If humanistic research consists of the generation of consensus positions, simple expression, summarized texts, or passable translations, then we have arrived at the place where AI is able to accomplish these different missions to a convincing degree. However, Laurent Dubreuil argues, such tasks do not, in any way, constitute the humanities. On the contrary, he posits, a maximalist take on scholarship would not focus on generation but on creation, as a subject and as an object. Dubreuil seizes the opportunity of what AI reveals about the meaning of humanistic inquiry to offer a path for the renewal of the humanities on transhistorical, transcultural, and transdisciplinary grounds.
Integrating Emerging Technologies Into Education and Training: Proceedings of the 2nd Etelt 2024 Workshop
Machine Intelligence and Smart Systems
​The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelligence and Smart Systems, MISS 2023, Bhopal, India, during January 24-25, 2023. The 58 full papers included in this book were carefully reviewed and selected from 203 submissions. They were organized in topical sections as follows: Language processing; Recent trends; AI defensive schemes; Principle components; Deduction and prevention models.
Machine Intelligence and Smart Systems
​The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelligence and Smart Systems, MISS 2023, Bhopal, India, during January 24-25, 2023. The 58 full papers included in this book were carefully reviewed and selected from 203 submissions. They were organized in topical sections as follows: Language processing; Recent trends; AI defensive schemes; Principle components; Deduction and prevention models.
Social Interaction Between Road Users and Automated Vehicles
Computational Technologies and Electronics
This two-volume set, CCIS 2376 and CCIS 2377, constitutes proceedings from the First International Conference on Computational Technologies and Electronics, ICCTE 2023, held in Siliguri, India, during November 23-25, 2023. The 46 full papers presented here were carefully selected and reviewed from 114 submissions. These papers have been organized in the following topical sections: Pat I- Pattern recognition & AI Part II- Data communication & security; Applied electronics.
