Introduction to Generative AI

Written by two of the leading figures in the field, this is a lucid and systematic introduction to formal semantics.

"With generative wisdom, Gerkin moves beyond the predominance of the psychotherapeutic paradigm in pastoral care to a dynamic, interactive process which balances faith, culture, community, and individ

In short, this book offers a complete, update introduction to the course state if Government and Binding theory, suitable for readers with some basic knowledge of generative linguistics.

This is the most comprehensive and current introduction to phonological theory and analysis. Presupposing only minimal background in linguistics, the book introduces the basic concepts and principles

Core Insight：Cross-Domain Data Collaboration: Unlocking Chip PotentialEliminating the "efficiency gap" caused by knowledge silos is the starting point for industry potential. Data doesn't lie; Data Science provides the solution: Through innovation and cross-domain restructuring, we visualize results to become the critical accelerator for boosting efficiency.GenAI Reshaping the Future of SemiconductorsFacing the immense challenge of the slowing pace of Moore's Law, the semiconductor industry urgently requires new breakthroughs. This book is specifically designed to solve the "Efficiency Black Hole" that consumes tens of billions of dollars annually in the industry.The Empowering DTCO Innovation with AI and Machine Learning offers readers a practical DTCO.ML Framework, demonstrating how to leverage Machine Learning (ML) and Generative AI (GenAI) technologies to inject new acceleration into chip manufacturing processes. Learn to master process variability and optimize chip energy efficien

New technologies are offering companies, politicians, and others unprecedented opportunity to manipulate us. Sometimes we are given the illusion of power - of freedom - through choice, yet the game is rigged, pushing us in specific directions that lead to less wealth, worse health, and weaker democracy. In, Manipulation, nudge theory pioneer and New York Times bestselling author, Cass Sunstein, offers a new definition of manipulation for the digital age, explains why it is wrong; and shows what we can do about it.He reveals how manipulation compromises freedom and personal agency, while threatening to reduce our well-being; he explains the difference between manipulation and unobjectionable forms of influence, including 'nudges'; and he lifts the lid on online manipulation and manipulation by artificial intelligence, algorithms, and generative AI, as well as threats posed by deepfakes, social media, and 'dark patterns,' which can trick people into giving up time and money. Drawing on d

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.

Introduction to Computers in the AI Era 🏆 經典暢銷教科書，導入AI，全新改版！ ⭐ 提供用書教師相關的教學資源 資訊科技的不斷創新，人工智慧的大放異彩，ChatGPT的橫空出世，以及雲端運算、大數據、區塊鏈、5G與物聯網的應用呈現爆炸性的成長，這股趨勢不僅改變了人們的生活習慣，也改變了人們的學習模式與工作型態。 針對這些變革，本書除了涵蓋資訊科學的核心知識與實務應用，更將下列熱門的主題融入適當的章節，無論您是剛進入大學的新生、準備參加碩士班考試或國家考試的人士，本書都可以為您的學習與職涯奠定扎實的學理基礎，並掌握最新的資訊發展趨勢： ■ 人工智慧、AI PC、AI伺服器、CPU vs. GPU vs. NPU、機器學習、深度學習、神經元、神經網路、前饋神經網路 (FNN)、卷積神經網路 (CNN)、循環神經網路 (RNN)、生成式AI、生成對抗網路 (GAN)、擴散模型、Transformer模型、大型語言模型 (LLM)、ChatGPT、Copilot、Midjourney、自然語言處理、電腦視覺、自駕車、機器人、仿生機器人。 ■ 量子電腦。 ■ 虛擬實境 (VR)、擴增實境 (AR)、混合實境 (MR)、延展實境 (XR)。 ■ 物聯網 (IoT)、智慧物聯網 (AIoT)、工業物聯網 (IIoT)、智慧城市、智慧交通、智慧家庭。 ■ 區塊鏈、加密貨幣、冷熱錢包。 ■ 網路霸凌、灌爆臉書、人肉搜索、網路公審、公布監視器畫面、散布假新聞、使用深偽 (deepfake) 技術製造假影片等行為的法律責任，歐盟人工智慧法案、AI訓練模型是否侵權，以及AI創作是否受著作權法保護。 ⭐ 多元特色 豐富圖表：透過拍攝精緻的產品照片及豐富圖表，提升學生的理解程度。 資訊部落：透過資訊部落，對其它專業的技術或議題做進一步的討論。 隨堂練習：透過隨堂練習，讓學生即刻驗證在課堂上學習的知識。 本章回顧：各章末提供簡短摘要，幫助學生快速回顧內容。 學習評量：各章末提供學習評量，檢測學生的學習成效或做為課後作業之用。

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

In Bridging Intention to Impact: Transform Product Development through Evidence-Based Decision-Making, Connor Joyce, a seasoned user researcher and product strategist, offers a groundbreaking guide for product managers and teams seeking to elevate their digital products from engaging to impactful. Packed with practical tools and frameworks, examples from startups through enterprises across industries, and generative AI prompts, this book helps product teams immediately begin taking steps toward a more experimental and evidence-driven culture. Joyce illustrates how this approach can empower companies to adapt to shifting user needs and technology by reframing their digital products as dynamic solutions designed to maximize behavior change, user outcomes, and, ultimately, business impacts, including decreasing churn, increasing customer lifetime value, and lowering customer acquisition costs. Join the growing movement of product leaders embracing the Impact Mindset and unlock your team's

**A New York Times Bestseller**'Co-Intelligence is the very best book I know about the ins, outs, and ethics of generative AI. Drop everything and read it cover to cover NOW' Angela DuckworthConsumer AI has arrived. And with it, inescapable upheaval as we grapple with what it means for our jobs, lives and the future of humanity.Cutting through the noise of AI evangelists and AI doom-mongers, Wharton professor Ethan Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In Co-Intelligence, he urges us to engage with AI as co-worker, co-teacher and coach. Wide ranging, hugely thought-provoking and optimistic, Co-Intelligence reveals the promise and power of this new era.

Understanding AI has never been easier. Combining bold graphics with easy-to-understand text, Simply Artificial Intelligence is the perfect introduction to the world of AI for those who are short of time but hungry for knowledge. Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed the way we live, and how it might evolve in the future. Explaining each individual aspect of AI more clearly than ever before, the book outlines the key building-blocks and technological milestones in its history, profiles its most important practical applications - both currentand predicted - and explores the numerous ethical debates around AI, and its increasing influence on culture and society. Whether you are studying science or AI-related subjects at school or college, or simply want a jargon-free overview of this increasingly important subject, this ess

Transform your research into commercial biomedical products with this revised and updated second edition. Covering drugs, devices and diagnostics, this book provides a step-by-step introduction to the process of commercialization, and will allow you to create a realistic business plan to develop your ideas into approved biomedical technologies. This new edition includes: Over 25% new material, including practical tips on startup creation from experienced entrepreneurs. Tools for starting, growing and managing a new venture, including business planning and commercial strategy, pitching investors, and managing operations. Global real-world case studies, including emerging technologies such as regulated medical software and Artificial Intelligence (AI), offer insights into key challenges and help illustrate complex points. Tips and operational tools from established industry insiders, suitable for graduate students and new biomedical entrepreneurs.

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Jonathan Stalling’s experimental approach to bridging art, poetics, and linguistics imagines a world where individual value systems are no longer translated into the language of other mediums, but foster conscious “interlanguages.” Stalling writes, “Meeting in the middle, ‘interlanguages’ are spaces where one learns a new language without having left one’s home fully behind; these situations can result in richly generative interlingual and intercultural estuaries which provide new ways of imagining.” Stalling’s conceptual language art fuses Classical Chinese poetics and linguistics with modern algorithms to create art installations and poetry that transform Chinese into English and English into Chinese in new and surprising ways.With a visual gallery of Stalling’s work, an interview with the artist, a critical introduction by the editor, and critical chapters written by the comparative literature scholar Timothy Billings and Chinese Linguist Liu Nian, the volume provides readers with a

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first cour

A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music.As algorithms get smarter, what role will computers

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an onli

Contemporary Linguistic Analysis is written and edited by leading scholars in the field. It provides an up-to-date introduction with coverage of phenomena that are of special interest and relevance to the linguistic situation in Canada. Using the generative paradigm, it offers an introduction to linguistic analysis as it is practised at this stage in the development of the discipline.This superb text gives students a solid grounding in basic linguistic concepts, but also prepares them to go on to further advanced work in the discipline.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem.First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare.

This volume presents a crosslinguistic survey of the current theoretical debates around copular constructions from a generative perspective. Following an introduction to the main questions surrounding

A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud o

This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update retains the sam

【簡介】 This is an up-to-date introduction to phonological theory placed within the framework of current, mainstream generative phonology. The book is divided into two parts. The first introduces readers

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field

Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machin

This book gives a gentle but up-to-date introduction into the theory of operator semigroups (or linear dynamical systems), which can be used with great success to describe the dynamics of complicated

This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various

This Companion offers an introduction to Reformed theology, one of the most historically important, ecumenically active, and currently generative traditions of doctrinal enquiry, by way of reflecting upon its origins, its development, and its significance. The first part, Theological Topics, indicates the distinct array of doctrinal concerns which gives coherence over time to the identity of this tradition in all its diversity. The second part, Theological Figures, explores the life and work of a small number of theologians who have not only worked within this tradition, but have constructively shaped and inspired it in vital ways. The final part, Theological Contexts, considers the ways in which the resultant Reformed sensibilities in theology have had a marked impact both upon theological and ecclesiastical landscapes in different places and upon the wider societal landscapes of history. The result is a fascinating and compelling guide to this dynamic and vibrant theological traditio

This text provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images,

Phase Theory is the latest empirical and conceptual innovation in syntactic theory within the Chomskyan generative tradition. Adopting a cross-linguistic perspective, this book provides an introduction to Phase Theory, tracing the development of phases in minimalist syntax. It reviews both empirical and theoretical arguments in favor of phases, and examines the role phases play at the interface with semantics and phonology. Analyzing current phasehood diagnostics, it applies them in a systematic fashion to a broad range of syntactic categories, both phases and non-phases. It concludes with a discussion of some of the more contentious issues in Phase Theory, involving cross-linguistic variation with respect to phasehood and the dynamic versus static nature of phases.

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

At the heart of generative phonology lies the assumption that the sounds of every language have abstract underlying representations, which undergo various changes in order to generate the 'surface' representations; that is, the sounds we actually pronounce. The existence, status and form of underlying representations have been hotly debated in phonological research since the introduction of the phoneme in the nineteenth century. This book provides a comprehensive overview of theories of the mental representation of the sounds of language. How does the mind store and process phonological representations? Krämer surveys the development of the concept of underlying representation over the last 100 years or so within the field of generative phonology. He considers phonological patterns, psycholinguistic experiments, statistical generalisations over data corpora and phenomena such as hypercorrection. The book offers a new understanding of contrastive features and proposes a modification of

At the heart of generative phonology lies the assumption that the sounds of every language have abstract underlying representations, which undergo various changes in order to generate the 'surface' representations; that is, the sounds we actually pronounce. The existence, status and form of underlying representations have been hotly debated in phonological research since the introduction of the phoneme in the nineteenth century. This book provides a comprehensive overview of theories of the mental representation of the sounds of language. How does the mind store and process phonological representations? Krämer surveys the development of the concept of underlying representation over the last 100 years or so within the field of generative phonology. He considers phonological patterns, psycholinguistic experiments, statistical generalisations over data corpora and phenomena such as hypercorrection. The book offers a new understanding of contrastive features and proposes a modification of

"A thorough introduction to artificial intelligence (AI), this text provides a comprehensive and in-depth overview of the key concepts and techniques in AI. It also discusses the various areas and suc

The Ai Chiang-nan fu by the sixth-century poet Yu Hsin is one of the most famous and difficult of all Chinese medieval poems. It relates in a highly allegorical and elliptical manner the fall of the Liang dynasty, which the poet served. The poem belongs to the genre of the fu; rhapsodical, elegiac works written in an irregular metre. It is, however not at all typical of the genre, which is more often associated with descriptions of hunting parks, sacrifices, plants and birds. The poem thus deserves study both for its literary merits and for its uniqueness. Dr Graham provides a translation of the poem with a very detailed literary and historical commentary. Most previous studies of the fu have concentrated on the Han period but Dr Graham offers an extended discussion in any language of the genre in the period of the six dynasties (222–589). The book also includes an introduction to the history of the period.

This is an introduction to syntactic change from the perspective of generative theory. Generative diachronic syntax has developed since the inception of the principles and parameters approach to comp

This third edition of "Principles of Space-Time Adaptive Processing" provides a detailed introduction to the fundamentals of space-time adaptive processing, with emphasis on clutter suppression in ai

Understanding Minimalism, first published in 2005, is an introduction to the Minimalist Program - the model of syntactic theory within generative linguistics. Accessibly written, it presents the basic principles and techniques of the minimalist program, looking firstly at analyses within Government and Binding Theory (the Minimalist Program's predecessor), and gradually introducing minimalist alternatives. Minimalist models of grammar are presented in a step-by-step fashion, and the ways in which they contrast with GB analyses are clearly explained. Spanning a decade of minimalist thinking, this textbook will enable students to develop a feel for the sorts of questions and problems that minimalism invites, and to master the techniques of minimalist analysis. Over 100 exercises are provided, encouraging them to put these skills into practice. Understanding Minimalism will be an invaluable text for intermediate and advanced students of syntactic theory, and will set a solid foundation fo