Exploring Generative AI with Computational Intelligence: Navigating the Uncertainty of Creative Machines
暫譯: 探索生成式人工智慧與計算智能：駕馭創意機器的不確定性

Kadry, Seifedine, Mahajan, Shubham, Jain, Vishal

Exploring Generative AI with Computational Intelligence: Navigating the Uncertainty of Creative Machines
  • 出版商: CRC
  • 出版日期: 2025-11-13
  • 售價: $6,400
  • 貴賓價: 9.5 折 $6,080
  • 語言: 英文
  • 頁數: 306
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041155824
  • ISBN-13: 9781041155829
  • 相關分類: GAN 生成對抗網絡

    • 海外代購書籍(需單獨結帳)

商品描述

This book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI. It begins with a coverage of AI fundamentals, followed by a technical discussion including detailed explanations of model architectures, training processes, and optimisation techniques. It explores case studies showcasing how generative AI is reshaping industries such as entertainment, marketing, design, and healthcare. The book also tackles ethical considerations, addressing issues related to bias, transparency, and responsible AI development.

Features:

  • Provides deep understanding of generative AI, including in-depth coverage of various generative models such as GANs, VAEs, and RNNs.
  • Includes practical, real-world examples of how generative AI is applied in different industries.
  • Dedicates significant attention to ethical considerations.
  • Equips readers with the knowledge and tools to build, train, and deploy their own generative AI systems.
  • Offers thorough explanations of AI algorithms, neural network architectures, and training processes.

This book is aimed at graduate students and researchers in computer engineering, AI and ML.

商品描述(中文翻譯)

這本書揭開了以人工智慧驅動的創造力的神秘面紗，深入理解生成式人工智慧的基本原則、演算法和應用。書中首先介紹了人工智慧的基本概念，接著進行技術討論，包括模型架構、訓練過程和優化技術的詳細解釋。它探討了案例研究，展示生成式人工智慧如何重塑娛樂、行銷、設計和醫療等行業。書中還討論了倫理考量，針對偏見、透明度和負責任的人工智慧發展等問題進行探討。

特色：
- 提供對生成式人工智慧的深入理解，包括對各種生成模型（如GANs、VAEs和RNNs）的詳細介紹。
- 包含生成式人工智慧在不同產業中的實際應用案例。
- 特別關注倫理考量。
- 裝備讀者具備建立、訓練和部署自己生成式人工智慧系統的知識和工具。
- 提供對人工智慧演算法、神經網絡架構和訓練過程的徹底解釋。

這本書的目標讀者為計算機工程、人工智慧和機器學習的研究生和研究人員。

作者簡介

Seifedine Nimer Kadry holds a Bachelor degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present, his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is currently working as a Full Professor of data science at Lebanese American University in Lebanon and Noroff University College in Norway. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He has served in the Editorial Board of numerous journals in several publishers while he has been editor of several books. He has taken various roles in the organization committee in numerous conferences.

Shubham Mahajan, a distinguished member of prestigious organizations, boasts an impressive academic and professional background. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India. Currently, he serves as an Assistant Professor at Amity University, Haryana. Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of eighteen Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 92 articles published in peer-reviewed journals and conferences and 8 edited books. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019.

Vishal Jain is presently working as Professor at the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India. Before that, he worked for several years as an Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 18 years of experience in the academics. He has earned degrees: Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP, and CCNA. He has more than 2500 research citations with Google Scholar (h-index score 24 and i-10 index 55) and has authored more than 150 research papers in professional journals and conferences. He has authored and edited more than 60 books (most of them are indexed at the Scopus) with various reputed publishers, including Taylor and Francis Group. He has more than 250 Scopus publications. His research areas include machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks and network security. He received a Young Active Member Award for the year 2012-13 from the Computer Society of India, and Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

作者簡介(中文翻譯)

Seifedine Nimer Kadry 於1999年獲得黎巴嫩大學的學士學位，2002年於法國的蘭斯大學和洛桑聯邦理工學院獲得碩士學位，2007年於法國的布萊茲·帕斯卡大學獲得博士學位，2017年於魯昂大學獲得HDR學位。目前，他的研究重點包括數據科學、利用技術進行教育、系統預測、隨機系統和應用數學。他目前擔任黎巴嫩美國大學和挪威的諾羅夫大學的數據科學全職教授。他是計算機的ABET項目評估員，以及工程技術的ABET項目評估員。他曾在多家出版社的多本期刊編輯委員會任職，並擔任過多本書籍的編輯。他在多個會議的組織委員會中擔任過各種角色。

Shubham Mahajan 是多個知名組織的傑出成員，擁有令人印象深刻的學術和專業背景。他在巴巴·古拉姆·沙阿·巴德沙大學獲得B.Tech.學位，在昌迪加爾大學獲得M.Tech.學位，在印度卡特拉的施里·馬塔·維什諾·德維大學獲得博士學位。目前，他擔任哈里亞納邦阿米提大學的助理教授。Mahajan博士在人工智慧和影像處理領域擁有卓越的成就，擁有18項印度專利，以及1項澳大利亞專利和1項德國專利。他在該領域的貢獻進一步體現在他廣泛的出版記錄上，包括在同行評審的期刊和會議上發表的92篇文章和8本編輯書籍。他的研究興趣涵蓋廣泛的主題，包括影像處理、視頻壓縮、影像分割、模糊熵、自然啟發的計算方法、優化、數據挖掘、機器學習、機器人技術和光通信。值得注意的是，他的奉獻和專業知識使他獲得了2019年ICRIC的「最佳研究論文獎」。

Vishal Jain 目前在印度大諾伊達的沙達大學計算機科學與工程系擔任教授。在此之前，他在新德里的巴哈拉提·維迪亞皮特計算機應用與管理學院（BVICAM）擔任副教授多年。他在學術界擁有超過18年的經驗。他獲得的學位包括：博士（CSE）、碩士（CSE）、MBA（人力資源）、MCA、MCP和CCNA。他在Google Scholar上擁有超過2500次的研究引用（h-index得分24，i-10指數55），並在專業期刊和會議上發表了超過150篇研究論文。他與多家知名出版社（包括泰勒與弗朗西斯集團）合作，撰寫和編輯了超過60本書籍（大多數在Scopus上被索引）。他的研究領域包括機器學習、信息檢索、語義網、Ontology工程、數據挖掘、臨時網絡、傳感器網絡和網絡安全。他於2012-13年獲得印度計算機學會的青年活躍成員獎，並於2017年獲得最佳教師獎和2019年獲得最佳研究者獎，均來自新德里的BVICAM。

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