How AI Works: From Sorcery to Science (Paperback)

AI isn't magic. How AI Works demystifies the explosion of artificial intelligence by explaining--without a single mathematical equation--what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood."

Artificial intelligence is everywhere--from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT--yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon.

You'll learn:

• The relationship between artificial intelligence, machine learning, and deep learning
• The history behind AI and why the artificial intelligence revolution is happening now
• How decades of work in symbolic AI failed and opened the door for the emergence of neural networks
• What neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number.
• The implications of large language models, like ChatGPT and Bard, on our society--nothing will be the same again

AI isn't magic. If you've ever wondered how it works, what it can do, or why there's so much hype, How AI Works will teach you everything you want to know.

AI並非魔法。《How AI Works》透過不使用任何數學方程式的方式，解釋了人工智慧的爆炸性增長，包括何時發生、為何發生、如何發生以及AI在幕後實際做了什麼。

人工智慧無所不在，從自駕車到從文字生成圖像，再到像ChatGPT這樣的語言系統的意想不到的力量，然而很少有人真正知道它是如何運作的。《How AI Works》解開了人工智慧的神秘面紗，不需要複雜的數學和不必要的術語。

你將學到：
- 人工智慧、機器學習和深度學習之間的關係
- 人工智慧的歷史以及為何現在發生人工智慧革命
- 符號式人工智慧數十年的失敗如何為神經網絡的出現打開大門
- 神經網絡是什麼，如何訓練它們，以及為何現代人工智慧的奇蹟歸結為一個簡單的重複單元，它知道如何將輸入數字相乘以產生輸出數字。
- 大型語言模型（如ChatGPT和Bard）對我們社會的影響——一切都將不再相同

AI並非魔法。如果你曾經想知道它是如何運作、能做什麼或為何如此炒作，《How AI Works》將教你一切想知道的事情。

Ronald T. Kneusel is a data scientist who builds deep-learning (AI) systems, as well as extensive experience with medical imaging and the development of medical devices. He earned a PhD in machine learning from the University of Colorado, Boulder, has nearly 20 years of machine learning experience in industry, and is presently pursuing deep-learning projects with L3Harris Technologies, Inc. Kneusel is also the author of Random Numbers and Computers (Springer 2018), in addition to Math for Deep Learning, Practical Deep Learning, Strange Code, and The Art of Randomness--all published by No Starch Press.

Ronald T. Kneusel是一位資料科學家，他建立深度學習（AI）系統，並且在醫學影像和醫療設備開發方面擁有豐富的經驗。他在科羅拉多大學波德分校獲得機器學習博士學位，擁有近20年的機器學習行業經驗，目前正在與L3Harris Technologies, Inc.進行深度學習項目。Kneusel還是《Random Numbers and Computers》（Springer 2018）的作者，此外還出版了《Math for Deep Learning, Practical Deep Learning, Strange Code, and The Art of Randomness》等書籍，這些書籍由No Starch Press出版。