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Computational Intelligence Techniques 電子書系列

12 條結果中的 1 - 12 條 結果 结果
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  • Exploring Generative AI with Computational Intelligence

    Navigating the Uncertainty of Creative Machines

    系列 series Computational Intelligence Techniques
    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 …… 閱讀更多內容

    NT$2,454 TWD

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  • Artificial Intelligence

    A Systems Approach from Architecture Principles to Deployment

    系列 series MIT Lincoln Laboratory Series
    The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of …… 閱讀更多內容

    NT$2,746 TWD

  • Generative AI

    Disruptive Technologies for Innovative Applications

    This book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration.Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and …… 閱讀更多內容

    NT$5,634 TWD

  • Generative AI and Creativity

    From Theory to Practice

    Generative AI and Creativity: From Theory to Practice is an immersive exploration into the revolutionary domain of generative artificial intelligence. It takes a step-by-step journey starting with the fundamentals of generative AI and progressing to advanced applications. The book unravels the complexities of generative models, delving into key techniques such as generative adversarial networks …… 閱讀更多內容

    NT$3,681 TWD

  • Agentic AI 360º Foundations, Architectures, and Futures

    1, #1

    系列 第 1 冊 - 1
    ABOUT THE BOOKThe World is witnessing a remarkable shift in the trajectory of Artificial Intelligence—from systems that merely react to stimuli or process data to agents capable of autonomous decision-making, goal pursuit, moral reasoning, and social interaction. This transformation calls for a new conceptual and practical framework: Agentic AI. The term denotes intelligent systems that operate as …… 閱讀更多內容

    NT$664 TWD 透過 Kobo Plus 免費享用

  • Technology Innovation Pillars for Industry 4.0

    Challenges, Improvements, and Case Studies

    系列 series Intelligent Manufacturing and Industrial Engineering
    Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between the digital and physical worlds we now live in.This book discusses each of the nine pillars and the roles they play in the rapid transformation of …… 閱讀更多內容

    NT$2,587 TWD

  • Generative AI: Techniques, Models and Applications

    系列 series Intelligent Technologies and Robotics (R0)
    This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, …… 閱讀更多內容

    NT$4,521 TWD

  • Next Generation AI Language Models in Research

    Promising Perspectives and Valid Concerns

    In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised.The international chapter contributor group provides a wealth of technical information on different …… 閱讀更多內容

    NT$2,587 TWD

  • Generative and Agentic AI Reliability: Architectures, Challenges, and Trust for Autonomous Systems

    編輯者: Angelos Stavrou, Janet Lin, Ruolin Zhou ……
    系列 series Intelligent Technologies and Robotics (R0)
    This book offers a unique and timely contribution to the intersection of agentic AI, reliability engineering, and system trustworthiness. This book addresses both sides of the reliability challenge: how to ensure the reliability of agentic AI systems (with autonomy, planning, and goal-directed behavior), and how agentic AI can be used to enhance the reliability of critical infrastructure and …… 閱讀更多內容

    NT$6,260 TWD

  • Automating Software Defect Detection Through Machine Learning and LLMs

    As software systems grow in complexity and scale, ensuring their reliability and quality becomes challenging. Traditional methods of defect detection are time-consuming, prone to errors, and inadequate for identifying issues. To address these limitations, the integration of machine learning (ML) techniques and large language models (LLMs) emerges as a transformative approach in automating software …… 閱讀更多內容

    NT$7,164 TWD

  • Redefining Security With Cyber AI

    編輯者: Marwan Omar, Hewa Majeed Zangana ……
    In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in …… 閱讀更多內容

    NT$8,656 TWD

  • Challenges and Solutions for Cybersecurity and Adversarial Machine Learning

    編輯者: Shafiq Ul Rehman ……
    Adversarial machine learning poses a threat to cybersecurity by exploiting vulnerabilities in AI models through manipulated inputs. These attacks can cause systems in healthcare, finance, and autonomous vehicles to make dangerous or misleading decisions. A major challenge lies in detecting these small issues and defending learning models and organizational data without sacrificing performance. …… 閱讀更多內容

    NT$7,911 TWD