Introduction to Generative AI

’…an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world.’ Scarlett Curtis‘…[this book] taught me more than any book has ever taught me about AI.’ Chris Evans, Virgin RadioHow To Talk To Robots, is your girls guide to Artificial Intelligence. Entrepreneur Tabitha Goldstaub welcomes you into the AI world with a warm embrace. She brilliantly breaks down the tech-bro barriers offering a straightforward introduction and makes clear the enormous benefits of understanding AI..If your social feed defines your spending habits or you’ve downloaded the latest filter to see what you’ll look like when you are old or now connect with your doctor using an app, have applied for a job online or used your phone to arrive at work in record time, AI is playing a part in how you live, work and play. We live in an era where machines are taught to learn and act without human intervention and there are infinite possibilities to their applica

During the past twenty-five years, researchers have made impressive advances in pinpointing effective learning strategies (namely, activities the learner engages in during learning that are intended to improve learning). In Learning as a Generative Activity: Eight Learning Strategies that Promote Understanding, Logan Fiorella and Richard E. Mayer share eight evidence-based learning strategies that promote understanding: summarizing, mapping, drawing, imagining, self-testing, self-explaining, teaching, and enacting. Each chapter describes and exemplifies a learning strategy, examines the underlying cognitive theory, evaluates strategy effectiveness by analyzing the latest research, pinpoints boundary conditions, and explores practical implications and future directions. Each learning strategy targets generative learning, in which learners actively make sense out of the material so they can apply their learning to new situations. This concise, accessible introduction to learning strategi

Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given

An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of arti

During the past twenty-five years, researchers have made impressive advances in pinpointing effective learning strategies (namely, activities the learner engages in during learning that are intended to improve learning). In Learning as a Generative Activity: Eight Learning Strategies that Promote Understanding, Logan Fiorella and Richard E. Mayer share eight evidence-based learning strategies that promote understanding: summarizing, mapping, drawing, imagining, self-testing, self-explaining, teaching, and enacting. Each chapter describes and exemplifies a learning strategy, examines the underlying cognitive theory, evaluates strategy effectiveness by analyzing the latest research, pinpoints boundary conditions, and explores practical implications and future directions. Each learning strategy targets generative learning, in which learners actively make sense out of the material so they can apply their learning to new situations. This concise, accessible introduction to learning strategi

This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the computer, engineering, mathematical and physical sciences. Ai

With this textbook, Yehuda N. Falk provides an introduction to the theory of Lexical-Functional Grammar, aimed at both students and professionals who are familiar with other generative theories and n

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.

如何在資源有限的環境下，做出最佳的經營決策？「作業研究」是一門結合數學建模、數據分析與智慧決策的實用學科。全書由淺入深，以步驟化方式講解複雜概念，將數學理論轉化為解決商業實際問題的工具，並將GenAI與作業研究融合，讓讀者學習如何利用AI進行數學建模，本書亦含重點整理及大量的書末試題，讓讀者能隨時練習、複習。

職涯的每一次躍升，都是一場九十天生存戰經理人如何完美因應轉職、升遷、空降與接班挑戰?★全球頂尖商學院必讀經典★‧我從VP升為country managing director，工作重點該如何調整？‧我空降到新公司，該如何不踩雷又快速看穿組織背後的權力地圖與隱形文化？‧當公司要求你接手爛攤子時，第一步是診斷情境，還是先求早期勝利？‧我被派到外國負責新職務，該如何在新國家、新文化中持續表現優異？AI正快速淘汰舊工作與舊組織，主管也不斷面對新局勢與新角色。換了位子，不能只靠昨天的戰績；精準轉型，才能坐穩明天的江山。哈佛商學院經典STARS模型，從新創事業、危機救火、高速成長到組織重整，教你依不同情境調整策略，快速因應新局、做出最佳成果。作者麥克．瓦金斯曾任教於哈佛商學院、INSEAD，目前是IMD洛桑管理學院教授，也是創世紀顧問公司的共同創辦人、世界級暢銷作者。產學兼備，深知升遷職涯發展難處，並提出具體、務實的解方。《從新主管到頂尖主管 實戰版》深化個人的八大典型挑戰，同時也指出如何建立企業內部轉職加速系統與共通語言。正面迎向八種經典轉職情境，持續邁向巔峰1. 升遷的挑戰：卸下超級同僚角色，從磚瓦匠變建築師辨識新角色面臨的核心挑戰，學習需補強的職能差異和需展現的領導風範，重新思考授權方式和內容，建立互補團隊。2. 領導昔日同儕的挑戰：與上司、新舊同事的關係再造是關鍵基本原則是接受關係必須改變；盡早專注於過渡儀式；重新爭取（優秀的）昔日同儕；巧妙建立威信；專心推進業務正確發展。3. 企業外交的挑戰：完成任務更依賴影響力，而非權威洞察他人與自身的議題如何（不）對齊。繪製影響力版圖，辨識誰是支持者、反對者和可說服者，創造關鍵多數的支持和結盟。4. 空降入職的挑戰：避免做出觸發組織「免疫系統」攻擊的行為求助於文化譯者，加速理解公司。建立正確的政治連結，才能為組織變革創造動能。透過五場對話，與上司、同儕、直屬部屬、重要成員對齊期待。5. 跨國外派的挑戰：別當短期待命的觀光客型經理人在私領域，安置好家人，建立新的支持系統。在公領域，善用抵達的第一印象；確保自己合規；透過推動業務的一系列短程目標來建立團隊。6. 徹底改造的挑戰：採取英雄式領導風格，迅速為公司止血以業務系統分析（外部環境、內部環境、業務策略、組織架構）和3D業務策略模型快速診斷現狀、重設使命和目標，並正確組織資源。7.

AI、核能、代理孕母、演算法黑箱……如果科技真的「客觀中立」，為什麼它總是使人爭論不休？人文與理工領域，又是為何以截然不同的角度看待「科學」？我們熟悉的鍵盤，以QWERTY字母為首，看似是最合理的設計；但事實上，它並非因為打字速度快才勝出。究竟，是什麼力量決定技術的命運？又該怎麼評判科技的成敗？「已經存在、已然完成的科學，是我們人類所知的東西中，最客觀、最非關個人的事物。而正要誕生……的科學，則好似人類所從事的其他事業，受到主觀、心理的因素影響。」──愛因斯坦歷史早已一再證明：真正生存下來的產品，往往不是「最好的」，而是最被社會接受的。從鍵盤、錄影帶規格戰，到AI的算力軍備競賽，技術是否存續，從來不單單取決於軟硬體效能，而是關乎它在市場、法律與使用習慣中，能爭取多少支持。技術，終究是社會選擇的結果。這種「選擇」不只發生在工廠，也發生在實驗室裡。科學證據的判讀並非唯一，實驗室的知識生產，也充滿了科學家協商與操作的痕跡。這凸顯出「科學與技術研究」（STS）的核心關懷，亦即：研究機構的制度脈絡、科學家心領神會的內隱知識等要素，如何共同構築「事實」。一旦某種理解固定下來，爭議便逐漸退場，先前的質疑亦被悉數封裝進黑盒子。留在眼前的，是一件不容挑戰的完成品；我們都忘了它曾經充滿裂隙，只看見無懈可擊的表面。這正是今日，科學與技術「客觀」樣貌的所在。《科學與技術研究導論》誠摯邀請您一同「開箱」你我習以為常的科學。資訊爆炸的年代，在思索科技是否取代人類之前，我們首先需要回到問題的起點。本書將帶領讀者踏出理解科學與社會關係的第一步，並解讀技術如何在網絡、文化與權力之中成形。本書特色◎以古鑑今，藉由歷史回顧，激發對於當今科技倫理的反思第一版的此書廣受好評，再版時則是擴充了大量的科學史與技術史案例。全書恪守不以成敗論英雄的「對稱性原則」，對那些被拒斥的邊緣科學或失敗技術投入足量關注；這類視角比起尋常的商場成功敘事，更能還原科技演進的真相。此外，增訂版內容還進一步深化了對智慧財產權、數位版權管理（DRM）、學術資本主義及科普傳播等現實議題的剖析。在技術政策層面，本書關於審議民主與「專家vs.常民」權力關係的辯證，足以為關注科技素養的現代公民，提供極具深度的思辨空間。◎破除技術與科學的雙重迷思除了挑戰傳統科學觀，作者也重新審視了兩種常見的技術觀點：一是認為科技單方面推動歷史的「技術決定論」；二

**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

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