Generative and Open AI in Industry 5.0
暫譯: 產業 5.0 中的生成式與開放式 AI
Sharma, Sangeeta, Bhadoria, Robin Singh, Giluka, Mukesh Kumar
- 出版商: CRC
- 出版日期: 2026-04-23
- 售價: $4,000
- 貴賓價: 9.5 折 $3,800
- 語言: 英文
- 頁數: 312
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 103297981X
- ISBN-13: 9781032979816
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相關分類:
GAN 生成對抗網絡、Large language model、Fintech
尚未上市,無法訂購
商品描述
This book provides an up-to-date and easy-to-read introduction to Generative AI and its revolutionary contribution to building Industry 5.0. Written for both practitioners and interested readers, it is a clear and compelling overview of the technologies at the heart of the next industrial revolution.
The book introduces the conceptual notions behind generative models, large language models (LLMs) and the neural networks that drive them. It delves into the mathematical and conceptual foundations of Generative AI, transformer architecture and the practical applications of language and vision models. It delves into the mathematical and conceptual foundations of Generative AI, transformer architecture and the practical applications of language and vision models. Further, the book links the innovations to Industry 5.0, discussing digital twins, predictive maintenance, DevOps and cybersecurity in intelligent systems. It encompasses real-world applications of AI in areas such as finance, manufacturing and smart infrastructure. Case studies, like the application of generative models in FinTech and blockchain adoption, underscore how AI is already transforming business and society around the world.
The book is perfect for students, researchers and practitioners of AI, data science and industrial systems interested in comprehending the theory and practical applications of Generative AI. It also benefits educators and policymakers who wish to lead in cutting-edge technological advancements, with emphasis on responsible, secure and human-oriented AI applications for a brighter future.
商品描述(中文翻譯)
這本書提供了一個最新且易於閱讀的生成式人工智慧(Generative AI)介紹,以及它對於建構工業5.0的革命性貢獻。這本書是為實務工作者和有興趣的讀者所撰寫,清晰且引人入勝地概述了下一次工業革命核心技術。
本書介紹了生成模型、巨型語言模型(Large Language Models, LLMs)及驅動它們的神經網絡背後的概念性概念。它深入探討了生成式人工智慧的數學和概念基礎、變壓器架構(transformer architecture)以及語言和視覺模型的實際應用。此外,本書將這些創新與工業5.0聯繫起來,討論數位雙胞胎(digital twins)、預測性維護、DevOps和智能系統中的網絡安全。它涵蓋了人工智慧在金融、製造和智慧基礎設施等領域的實際應用。案例研究,例如生成模型在金融科技(FinTech)和區塊鏈採用中的應用,強調了人工智慧如何已經在全球範圍內改變商業和社會。
這本書非常適合對生成式人工智慧的理論和實際應用感興趣的學生、研究人員和實務工作者。它也對希望在尖端技術進步中引領潮流的教育工作者和政策制定者有所裨益,強調負責任、安全且以人為本的人工智慧應用,以創造更美好的未來。
作者簡介
Sangeeta Sharma is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Hamirpur, Himachal Pradesh, India. She earned a PhD in computer science at the Maulana Azad National Institute of Technology Bhopal in 2017. Her research interests include virtualization technologies, cloud computing, artificial intelligence/machine learning, federated learning, and distributed systems, with a focus on efficient and scalable resource management.
Robin Singh Bhadoria is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Hamirpur, Himachal Pradesh, India. He specializes in big data analytics, IoT, machine learning, and wireless networks. He earned a PhD at the Indian Institute of Technology Indore and an MTech (Gold Medalist) at Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, in computer science engineering.
Mukesh Kumar Giluka is an assistant professor in the School of Engineering, Jawaharlal Nehru University, New Delhi, India. He earned a PhD at the Indian Institute of Technology Hyderabad. His research interests include 5G/6G networks, Wi-Fi networks, V2X communication, ISAC, and Open RAN.
作者簡介(中文翻譯)
Sangeeta Sharma 是印度喜馬偕爾邦哈米爾普爾國立技術學院計算機科學與工程系的助理教授。她於2017年在博帕爾的毛蘭阿扎德國立技術學院獲得計算機科學博士學位。她的研究興趣包括虛擬化技術、雲計算、人工智慧/機器學習、聯邦學習和分散式系統,專注於高效且可擴展的資源管理。
Robin Singh Bhadoria 是印度喜馬偕爾邦哈米爾普爾國立技術學院計算機科學與工程系的助理教授。他專注於大數據分析、物聯網、機器學習和無線網絡。他在印度理工學院印多爾獲得博士學位,並在博帕爾的拉吉夫甘地技術大學獲得計算機科學工程碩士學位(金牌得主)。
Mukesh Kumar Giluka 是印度新德里賈瓦哈拉爾尼赫魯大學工程學院的助理教授。他在印度理工學院海得拉巴獲得博士學位。他的研究興趣包括5G/6G網絡、Wi-Fi網絡、V2X通信、ISAC和開放無線接入網(Open RAN)。