Skip to main content
Search Button
South Africa Kobo store Gift Cards Help
Rakuten Kobo
Wishlist

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...
See your RECOMMENDATIONS
See your RECOMMENDATIONS
See your RECOMMENDATIONS


Computational Intelligence Techniques eBook Series

Showing 1 - 12 of 12 results
Skip side bar filters

  • Exploring Generative AI with Computational Intelligence

    Navigating the Uncertainty of Creative Machines

    Edited by Seifedine Kadry, Shubham Mahajan, Vishal Jain ...
    Series 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 ... Read more

    R1 436,49

People who read this also enjoyed

  • Artificial Intelligence

    A Systems Approach from Architecture Principles to Deployment

    by David R. Martinez, Bruke M. Kifle ...
    Series 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 ... Read more

    R1 758,22

  • Generative AI and Creativity

    From Theory to Practice

    Edited by Elakkiya Rajasekar, Subramaniyaswamy V ...
    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 ... Read more

    R2 129,21

  • Agentic AI 360º Foundations, Architectures, and Futures

    1, #1

    by S. R. Jena, Sanjoy Saha, Dr. Sohit Agrawal, Dr. Raj Kumar ...
    Series Book 1 - 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 ... Read more

    R349,01 or Free with Kobo Plus

  • Technology Innovation Pillars for Industry 4.0

    Challenges, Improvements, and Case Studies

    Edited by Ahmed A. Elngar, N. Thillaiarasu, T. Saravanan, Valentina Emilia Balas ...
    Series 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 ... Read more

    R1 513,46

  • Generative AI: Techniques, Models and Applications

    by Rajan Gupta, Sanju Tiwari, Poonam Chaudhary ...
    Series 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, ... Read more

    R2 315,63

  • Next Generation AI Language Models in Research

    Promising Perspectives and Valid Concerns

    Edited by Kashif Naseer Qureshi, Gwanggil Jeon ...
    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 ... Read more

    R1 513,46

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

    Edited by Angelos Stavrou, Janet Lin, Ruolin Zhou ...
    Series 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 ... Read more

    R3 206,42

  • Automating Software Defect Detection Through Machine Learning and LLMs

    Edited by Bryan Gardiner, Pancham Singh, Prashant Upadhyay, Meetu Malhotra, Rahul Sharma ...
    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 ... Read more

    R3 567,75

  • Redefining Security With Cyber AI

    Edited by 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 ... Read more

    R4 311,11

  • Challenges and Solutions for Cybersecurity and Adversarial Machine Learning

    Edited by 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. ... Read more

    R3 939,43

  • Convergence of Blockchain and Explainable Artificial Intelligence

    BlockXAI

    Edited by Akansha Singh, Krishna Kant Singh ...
    Series series River Publishers Series in Digital Security and Forensics
    Explainable AI (XAI) is an upcoming research field in the domain of machine learning. This book aims to provide a detailed description of the topics related to XAI and Blockchain. These two technologies can benefit each other, and the research outcomes will benefit society in multiple ways.Existing AI systems make decisions in a black box manner. Explainable AI delineates how an AI system arrived ... Read more

    R2 565,36