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Emotionally Intelligent AI SECOND EDITION

Emotionally Intelligent AI SECOND EDITION


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International Edition


About the Book

Welcome to "Emotionally Intelligent AI: A Comprehensive Guide with Examples", a meticulously curated guide designed to shepherd you through the intricate maze of emotional intelligence in artificial intelligence (AI). This book aims to be a seminal resource for developers, students, researchers, and anyone intrigued by the convergence of emotions and machines, providing a profound exploration into the designing, development, implementation, and applications of emotionally intelligent AI.

The Essence of Emotionally Intelligent AI:

Emotionally Intelligent AI represents the marriage of technological prowess with human emotional nuance, striving to create systems capable of understanding and responding to human emotions effectively. This evolving branch of AI bears immense relevance in today's world, promising innovations that can transform our interactions with technology and reshape various industries like healthcare, education, and customer service.

The merger of emotional intelligence and AI paves the way for more humane technology, enhancing user experiences and facilitating more empathetic, responsive interactions between humans and machines. It opens doors to technology that can understand human states, adapting and responding to emotional nuances and needs, thereby fostering a symbiotic relationship between human intelligence and artificial entities.

Objectives and Scope:

This book's objective is to offer a comprehensive overview of emotionally intelligent AI, traversing its foundational principles, building blocks, design and development methodologies, and applications. It seeks to illuminate the subject for a diverse audience, providing insights and knowledge that are both broad in scope and deep in detail.

The book is crafted to cater to a diverse range of readers, from novices stepping into the world of AI to seasoned professionals seeking advanced knowledge. The initial chapters lay down foundational knowledge about emotions, AI, and emotional intelligence, serving as a primer for those new to these concepts. Subsequent sections delve into more advanced topics, exploring the design, development, and implementation of emotionally intelligent AI systems, enriched with real-world examples and case studies.

Structure and Approach:

This book is strategically segmented into various parts to facilitate a coherent and progressive learning journey. The first part unfolds the foundational elements of emotions, AI, and emotional intelligence, setting the stage for deeper exploration. The building blocks of emotionally intelligent AI, such as Natural Language Processing (NLP), Sentiment Analysis, and Facial and Voice Recognition, are meticulously explained in the following sections, accompanied by pertinent examples and case studies.

Practical insights into designing and developing emotionally intelligent AI systems are provided, with a keen focus on ethical considerations and responsible AI development. The book further explores diverse applications of emotionally intelligent AI across various domains, showcasing its transformative potential and impact. Future perspectives on this technology are discussed, along with the ethical challenges and considerations that accompany its advancement.

To facilitate hands-on learning, the book is supplemented with practical examples, tutorials, and advanced techniques, providing readers with the opportunity to apply their knowledge and hone their skills. The book also emphasizes the ethical dimensions of developing emotionally intelligent AI, discussing the potential challenges and proposing thoughtful solutions.


DR. Hesham Mohamed Elsherif


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Product Details
  • ISBN-13: 9798869068910
  • Publisher: Eldonusa
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Second Edition
  • Width: 152 mm
  • ISBN-10: 8869068919
  • Publisher Date: 17 Dec 2023
  • Height: 229 mm
  • No of Pages: 240
  • Spine Width: 13 mm
  • Weight: 512 gr


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