Search results for """ "Generative AI Foundations Developments and Applications""
Wiley-Blackwell Generative AI for Communications Systems Fundamen tals Applications and Prospects
a huge range and FREE tracked UK delivery on ALL orders.
£108.00
Springer Generative AI Current Trends and Applications
Book SynopsisGenerative AI Fundamentals and Evolution.- Fundamentals of Encoders and Decoders in Generative AI.- Generative AI Applications Development using OpenAI.- Generative AI for Smart Data Analytics.- Detection of Real vs Fake Images on Social Media through Generative Adversarial Networks.
£170.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Empowering the Public Sector with Generative AI
Book SynopsisThis is your guide book to Generative AI (GenAI) and its application in addressing real-world challenges within the public sector. The book addresses a range of topics from GenAI concepts and strategy to public sector use cases, architecture patterns, and implementation best practices. With a general background in technology and the public sector, you will be able to understand the concepts in this book. The book will help you develop a deeper understanding of GenAI and learn how GenAI differs from traditional AI. You will explore best practices such as prompt engineering, and fine-tuning, and architectural patterns such as Retrieval Augmented Generation (RAG). And you will discover specific nuances, considerations, and strategies for implementation in a public sector organization.You will understand how to apply these concepts in a public sector setting and address industry-specific challenges and problems by studying a variety of use cases included in the book in the areas of content generation, chatbots, summarization, and program management. What You Will LearnGenAI concepts and how GenAI differsfrom traditional AI/MLPrompt engineering, fine-tuning, RAG, and customizing foundation modelsStrategy, methodologies, and frameworks for the public sectorPublic sectoruse cases in the areas of content generation, summarization, and chatbots, plusprogram management, analytics, business intelligence, and reportingArchitecture and design patternsImplementation, operations, and maintenance of GenAI applicationsWho This Book Is ForTechnology and business leaders in the public sector who are new to AI/ML and are keen on exploring and harnessing the potential of Generative AI in their respective organizations.
£44.99
Springer Nature Switzerland AG Generative Adversarial Learning: Architectures and Applications
Book SynopsisThis book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.Table of ContentsAn Introduction to Generative Adversarial Learning: Architectures and Applications.- Generative Adversarial Networks: A Survey on Training, Variants, and Applications.- Fair Data Generation and Machine Learning through Generative Adversarial Networks.
£134.99
John Wiley & Sons Generative Artificial Intelligence Concepts and
Book Synopsis
£140.40
Springer Essentials of Generative AI
Book SynopsisIntroduction.- Basics.- Language generation model.- Image generation model.
£49.49
Arcler Education Inc Generative AI Models
Book SynopsisThe generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models.Table of ContentsSection 1 Image Generation TechniquesChapter 1 Research on Image Generation and Style Transfer Algorithm Based on Deep LearningChapter 2 An Overview of Image Caption Generation MethodsChapter 3 Application of an Improved DCGAN for Image GenerationChapter 4 Private Face Image Generation Method Based on Deidentification in Low LightChapter 5 Application of Remote Sensing Image Data Scene Generation Method in Smart CitySection 2 Video Generation TechniquesChapter 6 Realistic Speech-Driven Talking Video Generation with Personalized PoseChapter 7 Video Transformation in Big Video Era and its Impact on Content EditingChapter 8 A Fast Depth-Map Generation Algorithm Based on Motion Search from 2D Video ContentsChapter 9 Adaptive Content Management for UGC Video Delivery in Mobile Internet EraSection 3 Voice and Speech GenerationChapter 10 Generating the Voice of the Interactive Virtual AssistantChapter 11 Voice Quality Modelling for Expressive Speech SynthesisChapter 12 Prosodically Rich Speech Synthesis Interface Using Limited Data of Celebrity VoiceChapter 13 Resources for Development of Hindi Speech Synthesis System: An OverviewSection 4 Societal and Ethical IssuesChapter 14 How AI-Human Symbiotes May Reinvent Innovation and What the New Centaurs Will Mean for CitiesChapter 15 AI, Automation and New JobsChapter 16 Discussion on the Development of Artificial Intelligence in TaxationChapter 17 AI and Zen: AI Films as Reflections on Reality and IllusionChapter 18 Ecologically Sound Procedural Generation of Natural Environments
£158.40
Springer Advancements in Generative Artificial Intelligence
Book SynopsisAnalysis of various breakdown voltage improvement techniques for E-mode AlGaN/GaN HEMTs.- Speech Database Creation for Marathi.- Wireless Acoustic Sensor Networks: Applications, Challenges, and Future Directions In Environmental Monitoring Impaired Speech.- Autonomous Mobile Robot with Enhanced Efficiency and Navigation Optimization in Restaurant Environment.- Recognition System for Discrete Facial Emotions Using Convolutional Neural Networks-CNN.
£224.99
John Wiley & Sons A Developers Guide to Integrating Generative AI into Applications
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£45.12
Taylor & Francis Using Generative AI Effectively in Higher Education
Book SynopsisUsing Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably.This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy.This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.
£19.99
Pearson Education Generative AI in Action
Book SynopsisAmit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft.The technical editor on this book was Wee Hyong Tok.
£41.39
Deep learning generativo. Enseñar a las máquinas
Book SynopsisLa inteligencia artificial generativa es el tema de moda en tecnología. Esta guía práctica enseña a los ingenieros del machine learning y a los científicos de datos cómo utilizar TensorFlow y Keras para crear desde cero impresionantes modelos de deep learning generativo, como autocodificadores variacionales o VAE, redes generativas adversativas o GAN, Transformers, flujos de normalización, modelos de difusión y basados en energía.El libro expone los fundamentos del deep learning y también las arquitecturas más innovadoras. Mediante consejos y trucos, permite al lector comprender cómo lograr que los modelos aprendan de un modo más eficiente y lleguen a ser más creativos.
£44.17
CRC Press Generative AI in Higher Education Volume 2
Book SynopsisBuilding upon the foundational principles established in the first volume, this second volume of Generative AI in Higher Education advances the debate on AI beyond theoretical frameworks toward concrete institutional practice. Where the first volume developed guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, this volume introduces original, research-informed frameworks that redefine employability as an ethical, adaptive, and human-centred practice. It presents distinctive models including Skills Dynamics, the JusticeâResponsibility Framework for Human Flourishing, and the AI Dialogic Partner frameworks that move decisively from principles to practice.The book integrates ethical governance, curriculum design, and skills formation through actionable models such as the Double ERL Framework (Ethical Regulation Literacy and Ethical Reflexive Learning), the ERL Justice Framework, and the Institutional AI Stewardship Lab (IASL) model. Uniquely combining philosophical depth with policy relevance, it bridges global and local perspectivesâdrawing on UNESCO, OECD, and regional policy frameworksâto address the ethical, social, and regulatory dimensions of AI in higher education. The volume includes comprehensive international policy analysis, diverse global case studies, and practical tools that transform conceptual exploration into implementable guidance.Generative AI in Higher Education: Ethical Governance, Skills, and Employability serves as essential reading for university leaders, policymakers, educators, and employers seeking to align AI innovation with justice, inclusion, and sustainability. Its practical frameworks and transparency principles empower institutions to position education not merely as a response to technological change but as a transformative force for human flourishing, providing both scholarly contribution and actionable roadmap for embedding ethical AI in higher education practice.
£84.99
CRC Press Exploring Generative AI with Computational Intelligence
Book SynopsisThis book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI. It begins with a coverage of AI fundamentals, followed by a technical discussion including detailed explanations of model architectures, training processes, and optimisation techniques. It explores case studies showcasing how generative AI is reshaping industries such as entertainment, marketing, design, and healthcare. The book also tackles ethical considerations, addressing issues related to bias, transparency, and responsible AI development.Features: Provides deep understanding of generative AI, including in-depth coverage of various generative models such as GANs, VAEs, and RNNs. Includes practical, real-world examples of how generative AI is applied in different industries. Dedicates significant attention to ethical considerations. Equips readers with the knowledge and tools to build, train, and deploy their own generative AI systems. Offers thorough explanations of AI algorithms, neural network architectures, and training processes. This book is aimed at graduate students and researchers in computer engineering, AI and ML.
£47.49
O'Reilly Media Generative AI on Microsoft Azure
£41.99
John Wiley & Sons Inc Foundations of Distributed Artificial
Book SynopsisDistributed Artificial Intelligence (DAI) is a dynamic area of research and this book is a comprehensive, integrated exposition of the discipline presenting influential contributions from leaders in the field.Table of ContentsPartial table of contents: FORMULATIVE READINGS. Logical Foundations of Distributed Artificial Intelligence (E. Werner). Distributed Artificial Intelligence Testbeds (K. Decker). COOPERATION, COORDINATION, AND AGENCY. Coordination Techniques for Distributed Artificial Intelligence (N. Jennings). Negotiation Principles (H. Müller). Planning in Distributed Artificial Intelligence (E. Durfee). DAI FRAMEWORKS AND THEIR APPLICATIONS. IMAGINE: An Integrated Environment for Constructing Distributed Artificial Intelligence Systems (D. Steiner). AGenDA--A General Testbed for Distributed Artificial Intelligence Applications (K. Fischer, et al.). Agent Factory: An Environment for the Fabrication of Multiagent Systems (G. O'Hare). RELATED DISCIPLINES. Philosophy and Distributed Artificial Intelligence: The Case of Joint Intention (R. Tuomela). User Design Issues for Distributed Artificial Intelligence (L. Hall). Appendix. Index.
£184.46
Pearson Education Generative Analysis
Book SynopsisJim Arlow has been programming and designing object-oriented software systems since 1990. He has created object models for blue chip companies such as British Airways and M&G. He is a respected OO consultant in Europe and has written and delivered many training courses on object technology and Java. Jim is a regular speaker at conferences such as Object World, and has been an invited speaker at University College London, City University, and the British Computer Society. Ila Neustadt has worked in IT for British Airways (BA) for more than twenty years and has experience with all parts of the IT development life cycle. She worked in the strategy department modeling the architecture process and developing architecture training, and acted as program head for the graduate business analyst program. Ila now coordinates skills development for BA's IT staff.
£43.19
£160.20
IA generativa en AWS
Book SynopsisLas empresas de hoy en día avanzan rápidamente para integrar la inteligencia artificial generativa en sus productos y servicios. Hay mucha agitación (y también malentendidos) sobre el impacto y la promesa de esta tecnología. Con este libro, Chris Fregly, Antje Barth y Shelbee Eigenbrode, de Amazon Web Services, le ayudarán a encontrar formas prácticas de usar esta tecnología tan nueva y atractiva. Gracias a IA generativa en AWS, descubrirá el ciclo de vida de los proyectos de IA generativa, que incluye la definición de casos de uso, la selección y el ajuste de los modelos, la generación mejorada por recuperación, el aprendizaje por refuerzo a partir de la retroalimentación humana y la cuantificación, la optimización y el despliegue de los modelos. Además, explorará diferentes tipos de modelos, incluidos los modelos de lenguaje grandes (LLM) y los multimodales, como Stable Diffusion para generar imágenes y Flamingo/IDEFICS para responder preguntas sobre imágenes. Asimismo, con esta lectura: o Utilizará la IA generativa en los casos de uso de negocio o Determinará qué modelos de IA generativa son los más adecuados para su tarea o Desarrollará ingeniería de indicaciones y aprendizaje en contexto o Afinará los modelos de IA generativa con los conjuntos de datos con adaptación de rango bajo (LoRA) o Alineará los modelos de IA generativa con los valores humanos con el aprendizaje por refuerzo a partir de la retroalimentación humana (RLHF) o Perfeccionará el modelo con la generación mejorada por recuperación (RAG) o Explorará bibliotecas como LangChain y ReAct para desarrollar agentes y acciones o Creará aplicaciones de IA generativa con Amazon Bedrock No importa si es un director técnico, un profesional de aprendizaje automático (AA), un desarrollador de aplicaciones, un analista de negocios, un ingeniero de datos o un científico de datos; si tiene interés en el mundo de la IA, este libro no le dejará indiferente. Chris Fregly es un arquitecto principal de soluciones para la IA generativa en Amazon Web Services y coautor de Data Science on AWS (O'Reilly). Antje Barth es una desarrolladora principal de IA generativa en Amazon Web Services y coautora de Data Science on AWS. Shelbee Eigenbrode es una arquitecta principal de soluciones para la IA generativa en Amazon Web Services. Posee más de 35 patentes en varios dominios tecnológicos.
£35.95
Inteligencia artificial generativa con modelos de
Book SynopsisLos modelos de inteligencia artificial generativa (IAG) y de lenguajes de inteligencia artificial son cada vez más conocidos por sus incomparables capacidades. Este volumen ofrece información sobre el funcionamiento interno de los LLM o grandes modelos de lenguaje y una guía para la creación de modelos de lenguaje propios. Comienza con una introducción al campo de la IAG que le permitirá comprender cómo se entrenan estos modelos para generar nuevos datos. Tendrá además la oportunidad de explorar casos prácticos en los que ChatGPT ha logrado mejorar la productividad y fomentar la creatividad. Aprenderá cómo sacar el máximo partido de sus interacciones con ChatGPT enriqueciendo el diseño de prompts y aprovechando las capacidades de aprendizaje zero-shot, one-shot y few-shot, es decir, con cero, uno y pocos ejemplos por clase. Los casos prácticos están agrupados por los ámbitos de técnicos de marketing, investigadores y desarrolladores o científicos de datos, lo que le permitirá ap
£26.12
CRC Press Generative Adversarial Networks and Deep Learning
Book SynopsisThis book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.Features: Presents a comprehensive guide on how to use GAN for images and videos. Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GAN Highlights the inclusion of gaming effects using deep learning methods Examines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutions The book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum
£52.24
Taylor & Francis Designing Instruction with Generative AI
Book SynopsisDesigning Instruction with Generative AI offers a novel set of tools and strategies for leveraging generative AI to create engaging and personalized learning experiences. While instructional designers are a tremendous asset to higher education, not all colleges or universities have the robust staff needed to support all instructors on staff or large student populations. Drawing on a wealth of research, professional experience, and strategic insights, this book equips new and seasoned teaching faculty and trainers with step-by-step directions on how freely accessible artificial intelligence software can assist with all aspects of the course creation and instruction process and cater to the needs of diverse learners. Each chapter offers forward-thinking and empirically validated ways to help faculty create and improve instructional materials, course design, and learning environments while supporting their digital literacies. Rather than introduce AI as a means of outsourcing subject-area expertise, critical thinking, or cognitive processes, the author instead emphasizes its potential to build on traditionally honed knowledge and foundational instructional design practices. From optimizing course alignment and accessibility practices to fostering active learning, motivation, and engagement, educators will find new solutions to common teaching and learning challenges with greater efficiency in time and capacity.
£41.92
Taylor & Francis Ltd Generative AI in Higher Education
Book SynopsisChan and Colloton's book is one of the first to provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education.Since November 2022, every conversation in higher education has involved ChatGPT and its impact on all aspects of teaching and learning. The book explores the necessity of AI literacy tailored to professional contexts, assess the strengths and weaknesses of incorporating ChatGPT in curriculum design, and delve into the transformation of assessment methods in the GenAI era. The authors introduce the Six Assessment Redesign Pivotal Strategies (SARPS) and an AI Assessment Integration Framework, encouraging a learner-centric assessment model. The necessity for well-crafted AI educational policies is explored, as well as a blueprint for policy formulation in academic institutions. Technical enthusiasts are catered to with a deep dive into the mechanics behind GenAI, from the history of neural networks to the latest advan
£32.99
John Wiley & Sons Generative Artificial Intelligence in Finance Lar
Book Synopsis
£163.80
Edward Elgar The Rise of Generative Artificial Intelligence
Book SynopsisThis timely book explores how generative artificial intelligence (GAI) is developing and diffusing, highlighting the diverse impacts this technology is likely to have on economies and societies. It also examines the effects on and the responses of industries where GAI has been the most pervasive.
£115.00
Wiley-Blackwell Generative Artificial Intelligence for Biomedical
Book Synopsis
£117.00
Cambridge University Press Generative AI in Computer Science Education
Book SynopsisGenerative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation to more people. The programming process is already changing as a result of its presence, even for expert programmers. It also poses significant challenges to educators around re-thinking assessment as some well-established approaches may no longer be viable. Many traditional programming assignments can be completed using generative AI tools with minimal effort, thus potentially undermining learning. In this Element, the authors explore both the opportunities and the challenges for computer science education resulting from the widespread availability of generative AI.
£49.99
O'Reilly Visualizing Generative AI
£24.64
Springer AI Foundations and Applications with MATLAB
Book SynopsisChapter 1 Introduction.- Chapter 2 Learning and Decision Making Process.- Chapter 3 Fuzzy Logic Inference System.- Chapter 4 Introduction to Machine Learning.- Chapter 5 Introduction to Regression Algorithms.- Chapter 6 Introduction to Classification Algorithms.- Chapter 7 Neural Networks and Deep Learning.- Chapter 8 Introduction to Unsupervised Learning.- Chapter 9 Introduction to Reinforcement Learning.- Chapter 10 Introduction to Adaptive Neuro Fuzzy Inference System.- Chapter 11 Case Study Projects on Fuzzy Logic Technology.- Chapter 12 Case Study Projects on Deep Learning.- Appendix A.
£53.99
Cambridge University Press How to Use Generative AI in Educational Research
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£18.00
Sage Publications Ltd Generative AI for Students
Book SynopsisUsing Generative Artificial Intelligence as a student can be confusing and challenging. This authoritative guide equips you with practical knowledge, enabling you to leverage GenerativeAI as a powerful study aid and embark on your academic journey with confidence. Exploringa wide spectrum of topics, from demystifying jargon and fostering critical thinking to addressing diversity, inclusion and academic integrity, this book is an essential companion for any Higher Education student looking to enhance their academic skill set and achieve success in their studies.By the end of this book you will:- Become critically literate atusing GenerativeAI- Learn how to use Generative AI to enhance traditional study methods- Encounter real-life case studies and worked-through examples to put theory into practice- Gain a comprehensive grounding in how to engage with Generative AI Tools
£17.99
Manning Introduction to Generative AI
Book SynopsisAbout the Authors: Numa Dhamani is a natural language processing expert with domain expertise in information warfare, security, and privacy. She has developed machine learning systems for Fortune 500 companies and social media platforms, as well as for startups and nonprofits. Numa has advised companies and organizations, served as the Principal Investigator on the United States Department of Defense's research programs, and contributed to multiple international peer-reviewed journals. Maggie Engler is an engineer and researcher currently working on safety for large language models. She focuses on applying data science and machine learning to abuses in the online ecosystem, and is a domain expert in cybersecurity and trust and safety. Maggie is also an adjunct instructor at the University of Texas at Austin School of Information.
£37.04
Cambridge University Press How to Use Generative AI in Educational Research
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£55.00
£100.80
Springer Generative AI and Education
Book SynopsisThe AI Future of Education.- The AI Ecosystem.- The New Hybrid.- Generative AI Informed Learning Design.- Collaboration, Community and Presence.- The Generative AI learning network.- AI Assessment.- Generative AI in your institution.
£44.99
£162.00
CRC Press Foundations of Artificial Intelligence and Robotics
Book SynopsisArtificial intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g., Turing Test) and robotics without AI (e.g., teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having smart robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI, and robotics from its early development to stateâofâtheâart technology, providing a roadmap of these complicated and constantly evolving subjects.Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, this first volume investigates the coming together
£44.99
Pearson Education Generative AI for Data Analytics
Book SynopsisAbout the Author Artur Guja is a risk manager, computer scientist, systems developer, and financial markets professional with over 20 years of experience in the banking sector, delivering safe and practical solutions across IT, risk management, and financial product trading. Dr. Marlena Siwiak is an experienced data scientist and bioinformatician with a comprehensive scientific background who gained experience in developing business data applications. An individual who knows how to use both numbers and words. Dr. Marian Siwiak is a data scientist and strategist with a track record of using data knowledge and managerial experience to successfully deliver multimillion IT, scientific and technical projects covering various areas, from life sciences to robotics.
£41.39
Oxford University Press Handbook of Logic in Artificial Intelligence and Logic Programming Volume 1 Logic Foundations
Book SynopsisProvides authoritative exposition, comprehensive survey, and fundamental research exploring the underlying unifying themes in the various areas of application of logic in artificial intelligence and computer science. The book assumes as background some mathematical sophistication.Trade ReviewReview of the first three volumes: `.. an essential acquisition for any library covering theoretical computer science and highly desirable for any researcher in the field.' Times Higher Education SupplementReview of the first three volumes: `... the first three volumes... represent a detailed and comprehensive exposition of the theoretical and computational features of a wide variety of classical and non-classical logics.' `... can be unreservedly recommended to AI practitioners with proficiency in logic and commitment to its role in the development of AI systems.' The Computer JournalTable of ContentsList of contributors ; 1.1 The role(s) of logic in artificial intelligence ; 1.2 First order logic ; 1.3 Methods and calculi for deduction ; 1.4 Deduction systems based on resolution ; 1.5 Equational reasoning and term rewriting systems ; 1.6 Basic modal logic ; 1.7 Logical features of Horn clauses ; Author index ; Subject index
£390.00
Pearson Education Learn Generative AI with PyTorch
Book SynopsisMark Liu is the founding director of the Master of Science in Finance program at the University of Kentucky.The technical editor on this book was Emmanuel Maggiori.
£41.39
£36.09
Independently Published Engineering Generative AI Systems Book I
£21.92
Springer International Publishing AG Advances in Practical Applications of Agents,
Book SynopsisThis book constitutes the proceedings of the 21st International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2023, held in Guimaraes, Portugal, in July 2023.The 32 full papers in this book were reviewed and selected from 70 submissions. 5 demonstration papers are also included in this volume. The papers deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, education and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.Table of ContentsPAAMS 2023 - MAIN TRACK.- Brain waves classification using a single-channel dry EEG headset: an application for controlling an intelligent wheelchair.- AJAN: An Engineering Framework for Semantic Web-Enabled Agents and Multi-Agent Systems.- Adaptive consumption by continuous negotiation.- When Extrinsic Payoffs meet Intrinsic Expectations.- Multi-Agent Reinforcement Learning for Structured Symbolic Music Generation.- A multi-level density-based crowd simulation architecture.- Resolving the Dilemma of Responsibility in Multi-Agent Flow Networks.- Lessons Learned on the Design of a Predictive Agent for LoRaWAN Network Planning.- A solution concept with an exploration bias for repeated stochastic coalitional games.- Governing online forum interactions with multi-agent system: A Reddit use case with the JaCaMo platform.- Fuzzy Hyperplane based Twin-KSVC and Its Applications to Stock Price Movement Direction Prediction Based on News Articles.- Enhancing Safety Checking Coverage with Multi-swarm Particle Swarm Optimization.- A Decentralized Resource Allocation Protocol in Social Networks.- Multi-agent learning of causal networks in the Internet of Things.- Investigation of Integrating Solution Techniques for Lifelong MAPD Problem Considering Endpoints.- Towards Norm Entrepreneurship in Agent Societies.- Velluscinum: A Middleware for Using Digital Assets in Multi-Agent Systems.- Parking Problem with Multiple Gates.- UAV Swarm Control and Coordination Using Jason BDI Agents on top of ROS.- Traffic Assignment Optimization using Flow-based Multi-Maps.- A Monitoring Agent for Advancing Elderly Care through Mobile Health Technology.- Extrinsic Emotion Regulation by Intelligent Agents: A computational model based on Arousal-Valence dimensions.- Optimization of Complex Systems in Photonics by Multi-Agent Robotic Control.- GTG-CoL: A new Decentralized Federated Learning based on Consenssus for dynamic networks.- A novel framework for multi-agent knowledge-based federated learning systems.- Exploring Planner-Guided Swarms Running on Real Robots.- Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents.- A Multi-Agent Based Dynamic Network Slice Tarification Framework.- An IDE to Support the Development of Embedded Multi-Agent Systems. Bioinspired Artificial Cockroach Colony Strategy combined with 2-type Fuzzy Logic for the Priority-Based Sanitization of Railway Stations.- Embedding Autonomous Agents into Low-Power Wireless Sensor Networks.- Safe Autonomous Decision-Making with vGOAL.- PAAMS 2023 - DEMONSTRATIONS.- Towards Exception Handling in the SARL Agent Platform.- Multi-Agent Path Finding for Indoor Quadcopters.- Energy community integration of a smart home based on an open source multiagent system.- Cognitive Assistant for Enhanced eHealth Monitoring.- Extended Green Cloud - Modeling Cloud Infrastructure with Green Energy Sources.
£61.74
Cambridge University Press Using Generative AI in Historical Practice
£18.00
Springer Generative AI in FinTech Revolutionizing Finance
Book Synopsis
£142.49
Pearson Education The Complete Obsolete Guide to Generative AI
Book SynopsisDavid Clinton is an AWS Solutions Architect and a Linux server administrator. While he has authored two previous books for Manning (as well as books and video courses for other publishers), this is his finest work yet.
£35.99
Trama Editorial, S.L. IA Generativa
Book SynopsisQué supone la inteligencia artificial generativa para el sector de la información y la comunicación? Qué desafíos éticos, de buenas prácticas y de derechos de propiedad intelectual encaramos? Once especialistas de ámbitos y procedencias diversas reflexionan sobre las claves, los retos y las oportunidades que supone el uso de la inteligencia artificial a medio y largo plazo, aportando una rica paleta de perspectivas y matices. Este primer volumen de la Biblioteca Digital Journey proporciona un conjunto de análisis y materiales que servirán, sin duda, a todos aquellos que se aproximen por primera vez a las importantes transformaciones que ya está provocando la IA, y también a quienes trabajan de forma directa con esta tecnología que está llamada a revolucionar nuestra sociedad en los próximos años.Otros libros de Cerezo, Pepe
£32.01
Taylor & Francis Humanising Language Education in the Generative Artificial Intelligence Age
Book SynopsisExamining the presence and influence of GenAI in the contexts of English for Academic Purposes (EAP), and written composition within university-level English as a foreign language (EFL) programmes, this book asserts a humanist view of language education informed by Critical Realism and the social realist philosophy of education.This author looks at the GenAI-language education interaction through explicit philosophical engagement, with the aim of strengthening a critical and emancipatory approach to EAP, written composition, and language education. By highlighting technological determinism and relating it to broader neoliberalist mechanisms, it provides new insights into the social, political, economic, cultural and historical contexts within which the use of GenAI technologies by language teachers and learners can be understood.Humanising Language Education in the Generative Artificial Intelligence Age will appeal to students and scholars of linguistics, education and sociology as well as organizations devoted to understanding the evolution, application, and impact of GenAI on education and language learning.
£145.00
