Search Results

ENGLISH

Computational Artificial Intelligence And Methods For Industries - A Machine-Generated Literature Overview

~~237,84€~~ 214,06€ 10% OFF

 Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples.
ENGLISH

Natural Language Processing - A Textbook With Python Implementation

by Raymond Lee

~~92,74€~~ 83,47€ 10% OFF

 This textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Language Models and Generative AI.
ENGLISH

New Kind Of Machine Learning-Cellular Automata Model

by Adip Dutta, Dipanwita Roy Chowdhury, Parimal Pal Chaudhuri, Raju Hazari e Somshubhro Pal Choudhury

~~131,84€~~ 118,66€ 10% OFF

 This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver ecient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions eectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another signicant application is in multi-language Sentiment Analysis, where the model analyzes text in ve languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, oering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and ecient hardware design through CA’s regular, modular, and scalable structure.
ENGLISH

Reimagine Pricing - How Ai Is Changing Everything

by Jan Y. Yang

~~39,74€~~ 35,77€ 10% OFF

 Designed for business leaders, pricing experts, and AI enthusiasts, this book is not just a guideâ€"itâ€™s a call to action to embrace the future of AI-enabled pricing with confidence, creativity, and purpose.
ENGLISH

Stability Analysis Of Neural Networks And Evolving Intelligent Systems

by Jose De Jesus Rubio

~~211,34€~~ 190,21€ 10% OFF

 This book explores the stability analysis of neural networks and evolving intelligent systems, focusing on their ability to adapt to changing environments. It differentiates between neural networks, which have a static structure and dynamic parameter learning, and evolving intelligent systems, where both structure and parameters are dynamic. A key concern addressed is ensuring the stability of these systems, as instability can lead to damage or accidents in online applications. Stability Analysis of Neural Networks and Evolving Intelligent Systems emphasizes that stable algorithms used in these systems must be compact, effective, and stable.The book is divided into two parts: the first five chapters cover stability analysis of neural networks, while the latter five chapters explore stability analysis of evolving intelligent systems. The Lyapunov method is the primary tool used for these analyses. Neural networks are applied to various modeling and prediction tasks, including warehouse load distribution, wind turbine behavior, crude oil blending, and beetle population dynamics. Evolving intelligent systems are applied to modeling brain and eye signals, nonlinear systems with dead-zone input, and the Box Jenkins furnace. Each chapter introduces specific techniques and algorithms, such as a backpropagation algorithm with a time-varying rate for neural networks, analytic neural network models for wind turbines, and self-organizing fuzzy modified least square networks (SOFMLS) for evolving systems. The book also addresses challenges like incomplete data and big data learning, proposing hybrid methods and modified algorithms to improve performance and stability. The effectiveness of the proposed techniques is verified through simulations and comparisons with existing methods.
ENGLISH

Challenges And Opportunities In The Artificial Intelligence Era

~~237,84€~~ 214,06€ 10% OFF

 This book contributes to a better understanding of the impacts that artificial intelligence (AI) has on organizations and how they reinforce opportunities while simultaneously overcoming the underlying risks.
ENGLISH

Artificial Intelligence And Games

by Georgios N. Yannakakis e Julian Togelius

~~72,86€~~ 65,57€ 10% OFF

 This book covers artificial intelligence methods applied to games, both in research and game development.
ENGLISH

Introduction To Foundation Models

by Pin-Yu Chen e Sijia Liu

~~86,11€~~ 77,50€ 10% OFF

 This book offers an extensive exploration of foundation models, guiding readers through the essential concepts and advanced topics that define this rapidly evolving research area. Designed for those seeking to deepen their understanding and contribute to the development of safer and more trustworthy AI technologies, the book is divided into three parts providing the fundamentals, advanced topics in foundation modes, and safety and trust in foundation models:<ul><li>Part I introduces the core principles of foundation models and generative AI, presents the technical background of neural networks, delves into the learning and generalization of transformers, and finishes with the intricacies of transformers and in-context learning.</li><li>Part II introduces automated visual prompting techniques, prompting LLMs with privacy, memory-efficient fine-tuning methods, and shows how LLMs can be reprogrammed for time-series machine learning tasks. It explores how LLMs can be reused for speech tasks, how synthetic datasets can be used to benchmark foundation models, and elucidates machine unlearning for foundation models.</li><li>Part III provides a comprehensive evaluation of the trustworthiness of LLMs, introduces jailbreak attacks and defenses for LLMs, presents safety risks when find-tuning LLMs, introduces watermarking techniques for LLMs, presents robust detection of AI-generated text, elucidates backdoor risks in diffusion models, and presents red-teaming methods for diffusion models.</li></ul>Mathematical notations are clearly defined and explained throughout, making this book an invaluable resource for both newcomers and seasoned researchers in the field.
ENGLISH

Natural Language Processing And Applications

by Huaping Zhang e Jianyun Shang

~~237,84€~~ 214,06€ 10% OFF

 This book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis.The inaugural chapter provides an overview of NLP, and the subsequent chapters delve into the foundations of artificial intelligence, covering traditional deep learning algorithms and platforms. The book then evolves to showcase the latest advancements in deep learning, addressing bottlenecks and unfolding developments from data-oriented, training-oriented, and application-oriented perspectives. Part II of the book navigates the practical applications of intelligent language processing. From web crawlers and multi-format document parsing to speech text recognition, readers gain insights into real-world scenarios. Each chapter provides examples and analyses, empowering readers to bridge theoretical knowledge with hands-on application, unlocking the transformative potential of AI through intelligent language processing. This book serves as a comprehensive resource for researchers, graduate students, and undergraduates in the field of natural language processing. Additionally, it offers valuable insights as a reference for engineers, technicians, and enthusiasts interested in the realm of big data intelligence.The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
ENGLISH

Essentials Of Generative Ai

by Takeshi Okadome

~~72,86€~~ 65,57€ 10% OFF

 It starts by elucidating language modelsand introduces large-scale language models with broad applications as the foundational architecture of language processing, further discussing language generation models as their evolution.
ENGLISH

Natural Language Understanding In Conversational Ai With Deep Learning

by Henry Weld, Jean Lee, Josiah Poon, Soyeon Caren Han e Yan Li

~~145,09€~~ 130,58€ 10% OFF

 This book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancements, and future of natural language understanding (NLU) in human-computer interactions.To this end, the book is structured in seven chapters: Introduction to Natural Language Understanding lays the foundation by tracing the evolution of NLU from early human communication to modern human-computer interactions. Prerequisites and Glossary for Natural Language Understanding then serves as a foundational resource, consolidating essential prerequisites and key terminologies relevant across the book. Single-Turn Natural Language Understanding looks at Single-Turn NLU, focusing on tasks that involve interpreting and processing user inputs in a single interaction, while Multi-Turn Natural Language Understanding moves on systems for extended interactions with users and explores techniques for managing dialogues, using context and integrating external knowledge bases. Next, Evaluating Natural Language Understanding discusses the annotation of datasets and various performance assessment methods, covering different levels of understanding from intent recognition to slot filling and domain classification. Applications and Case Studies in Natural Language Understanding subsequently shows real-world applications of NLU in finance, medicine, and law. Eventually Challenges, Conclusions and Future Directions explores the core obstacles hindering the advancement of NLU, including ambiguity, domain adaptation, data scarcity, and ethical concerns. By understanding these challenges, this chapter highlights the ongoing work needed to advance NLU.This book mainly targets researchers, PhD students, and professionals who are entering this field and look for a state-of-the-art introduction to NLU applied in conversational systems such as chatbots, large language models, or educational systems.
ENGLISH

Artificial Intelligence: Principles And Practice

by George F. Luger

~~72,86€~~ 65,57€ 10% OFF

 We recommended that PART I be used to introduce the AI discipline and that Part VIII be discussed after the AI practice materials.
ENGLISH

Machine Learning For Engineers - Introduction To Physics-Informed, Explainable Learning Methods For Ai In Engineering Applications

by Marcus J. Neuer

~~59,61€~~ 53,65€ 10% OFF

 Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex.This textbook explains learning methods based on analytical concepts in conjunction with complete programming examples in Python, always referring to real technical application scenarios. It demonstrates the use of physics-informed learning strategies, the incorporation of uncertainty into modeling, and the development of explainable, trustworthy artificial intelligence with the help of specialized databases.Therefore, this textbook is aimed at students of engineering, natural science, medicine, and business administration as well as practitioners from industry (especially data scientists), developers of expert databases, and software developers.
ENGLISH

Principles Of Imprecise-Information Processing - A New Theoretical And Technological System On Flexible Linguistic Information

by Shiyou Lian

~~264,99€~~ 238,49€ 10% OFF

 This book reveals the origin of imprecise information and establishes the mathematical models of flexible words and related mathematical and logical theories. It presents a set of models and algorithms of reasoning and computation, thus building a platform for related applications and laying a foundation for further research.Applying the theories and technologies in the book builds flexible AI systems to solve corresponding clustering, classification, judging, recognition, control, prediction, regression, etc., problems, and to enhance the Agent’s and Robot’s abilities to perceive environment and control behavior. Combine large language models (LLMs) with flexible linguistic information technologies in the book to enhance and extend the capability of natural language processing, and to realize understanding and generation of flexible words.This book differentiates imprecision from the uncertainty of information and explicitly treats imprecise-information processing as an independent subject. Imprecise-information processing is an indispensable research topic and branch field of artificial intelligence. With a new perspective and idea, the book starts from the origin of imprecise information, comprehensively and systematically expounds the principles, methods, and applications of imprecise-information processing, and establishes a new theoretical and technological system different from fuzzy technology on flexible linguistic information.The audience of this book includes scholars, engineers, teachers, Ph.D. candidates, postgraduates, and advanced undergraduates in the fields of artificial intelligence, natural language processing, Agent, Robot, automation, information, computer, logics, mathematics, language, as well as brain and cognitive science, etc.
ENGLISH

Understanding Natural Language Understanding

by Erik Cambria

~~105,34€~~ 94,81€ 10% OFF

 â€œUnderstanding natural language understandingâ€, i.e., understanding how the mind encodes and decodes meaning through language, is a significant milestone in our journey towards creating machines that genuinely comprehend human language.
ENGLISH

Natural Language Generation

by Ehud Reiter

~~72,86€~~ 65,57€ 10% OFF

 In late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sectors, the focus has predominantly been on the latest innovations, often overlooking the rich history and foundational work in NLG. This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications. Drawing on decades of NLG research, the book is designed to be a valuable resource for both researchers and developers, offering insights that remain relevant far beyond the current technological landscape.Natural Language Generation focuses on data-to-text but also looks at other types of NLG including text summarization. The book takes a holistic approach to NLG, looking at requirements (what users are looking for), design, data issues, testing, evaluation, safety and ethical issues as well as technology. The holistic approach is unique to this book and is very valuable for people building real-world NLG systems, and for academics and researchers who are interested in applied NLG.The author, who previously co-authored a seminal NLG book in 2000, emphasizes high-level concepts and methodologies, ensuring the material''s longevity and utility. The book is structured to balance technical depth with practical relevance, including chapters on rule-based and neural NLG approaches, user requirements, rigorous evaluation techniques, and safety considerations. Real-world applications, particularly in journalism, business intelligence, summarization, and medicine, are explored to illustrate NLG''s potential and scalability. With personal anecdotes and examples from the author''s experiences, this book provides a unique and engaging perspective on the evolving field of NLG, making it an indispensable guide for those looking to harness the power of language generation technologies.

DIDN'T FIND WHAT YOU'RE LOOKING FOR?

Browse by the menu categories.

Check the search criteria in help .

Finally, if needed, use the we'll search for you .