The Path to AGI: Artificial General Intelligence Past, Present, and Future
暫譯: 通往AGI的道路:人工通用智慧的過去、現在與未來
Thompson, John K.
- 出版商: Technics Publication
- 出版日期: 2025-02-27
- 售價: $1,560
- 貴賓價: 9.8 折 $1,528
- 語言: 英文
- 頁數: 418
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1634627016
- ISBN-13: 9781634627016
-
相關分類:
DeepLearning
-
相關翻譯:
AGI之路 (簡中版)
海外代購書籍(需單獨結帳)
商品描述
Explore the history, current state, and path forward for all three fundamental areas of Artificial Intelligence (AI): Foundational AI, Generative AI, and Causal AI.
When most people talk about AI, they are talking about Generative AI (GenAI). GenAI is useful and valuable and will drive significant value, but the field of AI is much more than GenAI. AI has been under active development for over 70 years. Read all about the nuances and differences in each of the three areas of AI.
As AI moves towards larger and more comprehensive applications and solutions, we will see an evolution of all three areas of AI, and, at the same time, we will see a convergence of the three areas toward Composite AI.
Composite AI will be the state of the art for many years and possibly even decades. Composite AI will grow and evolve into Artificial General Intelligence (AGI). While AGI is an exciting theme for science fiction movies, it will not arrive in the next few years. The path to AGI will be long and challenging. We discuss the pragmatic and practical path in detail.
Business leaders and technologists need to understand where AI is moving. We will outline one of the most probable paths unfolding over the next few decades as we move toward AI being embedded in all systems and operations. AI will become a utility like electricity and water, but we have a long road of sophisticated development to navigate before we arrive at that point.
The Path to AGI is a reference book and guide for those interested in all types of AI and how these types will merge, integrate, and evolve into one of the most consequential technologies the world has ever seen.
Unravelling the past, present, and future of artificial intelligence with pragmatism and precision, John Thompson's "The Path to AGI" is an indispensable guide for business leaders seeking to understand the real capabilities, applications, and future trajectory of AI. John's decades of experience in analytics shine through as he navigates the Four Eras of AI, providing a roadmap to understanding the backdrop for today's AI revolution and the long journey ahead to true Artificial General Intelligence. Whether you are an industry leader, a technology enthusiast, or simply curious about how AI will shape our future, The Path to AGI is essential reading. Thoughtful, rigorous, and engaging, this book not only serves as a great reference but a lodestar for those navigating the ever-evolving landscape of AI.
Thomas Robinson, Chief Operating Officer, Domino Data Lab
This book has something for both the person already familiar with the development of AI and the novice just starting to learn about the field. In clear, narrative language, this book shows how AI has developed over time and the direction it is going. This would be a book I'd be put in front of students looking to be AI leaders in the future.
Cliff Lampe, Associate Dean for Academic Affairs at the University of Michigan School of Information
商品描述(中文翻譯)
探索人工智慧(AI)三個基本領域的歷史、現狀及未來發展:基礎AI、生成AI和因果AI。
當大多數人談論AI時,他們所指的是生成AI(GenAI)。生成AI是有用且有價值的,將帶來顯著的價值,但AI的領域遠不止於生成AI。AI已經在積極發展超過70年。了解這三個AI領域中的細微差別和不同之處。
隨著AI朝著更大和更全面的應用及解決方案發展,我們將看到這三個AI領域的演變,同時,我們也將看到這三個領域朝向複合AI(Composite AI)的趨勢。
複合AI將在未來許多年,甚至幾十年內成為最前沿的技術。複合AI將成長並演變為人工通用智慧(Artificial General Intelligence, AGI)。雖然AGI是科幻電影中令人興奮的主題,但它不會在未來幾年內出現。通往AGI的道路將漫長且充滿挑戰。我們將詳細討論這一務實且實際的路徑。
商業領袖和技術專家需要了解AI的發展方向。我們將概述在未來幾十年中最可能展開的路徑,隨著AI嵌入所有系統和操作,AI將成為像電力和水一樣的公用事業,但在到達那一點之前,我們還有一條複雜的發展之路要走。
《通往AGI的道路》是一本參考書和指南,適合對各類AI及其如何融合、整合和演變成為世界上最具影響力的技術之一感興趣的人。
約翰·湯普森(John Thompson)的《通往AGI的道路》以務實和精確的方式揭示了人工智慧的過去、現在和未來,是商業領袖了解AI的真實能力、應用和未來走向的不可或缺的指南。約翰在分析領域的數十年經驗在他探索AI的四個時代時熠熠生輝,為理解當今AI革命的背景和通往真正人工通用智慧的漫長旅程提供了路線圖。無論您是行業領袖、技術愛好者,還是對AI如何塑造我們的未來感到好奇,《通往AGI的道路》都是必讀之作。這本書思考周到、嚴謹且引人入勝,不僅是一本極好的參考書,也是那些在不斷演變的AI領域中導航的人的指路明燈。
托馬斯·羅賓遜(Thomas Robinson),Domino Data Lab首席運營官
這本書對於已經熟悉AI發展的人和剛開始學習這一領域的新手都有所裨益。以清晰的敘述語言,這本書展示了AI隨時間的發展及其未來的方向。這將是一本我會推薦給希望成為未來AI領袖的學生的書。
克里夫·蘭普(Cliff Lampe),密西根大學資訊學院學術事務副院長