This book presents recent research on the application of Artificial Intelligence and Computational Technologies, as discussed at the 2nd International Conference on Emerging Trends in AI and Computational Technologies. The contributions in this volume highlight the advancements in AI fields and computational technologies such as machine learning, generative intelligence, and language-based models and illustrate their transformative impact on their applications. This proceeding, comprising many techniques that focus on using AI in many fields such as Climate Change and Biodiversity Conservation, Sustainability and Environmental Impact, Education and Learning Techniques, Smart City Planning and Management, and Agriculture for Sustainable Food Production, also introduces innovative methodologies and presents the findings derived from their original research. Theoretical and empirical studies featured in this book employ a range of computational techniques, including deep learning frameworks, data-driven analysis, and optimization algorithms. These approaches enhance the performance and efficiency of various applications in sectors like healthcare, finance, and entertainment. Additionally, the book explores the ethical implications of deploying AI technologies and provides strategies to navigate the associated risks.
The chapters discuss essential topics such as methodology, validation, and the implications of AI in real-world scenarios, making this book a vital resource for understanding and leveraging the power of Artificial Intelligence and Computational Technologies in contemporary applications.
This book presents recent research on the application of Artificial Intelligence and Computational Technologies, as discussed at the 2nd International Conference on Emerging Trends in AI and Computational Technologies. The contributions in this volume highlight the advancements in AI fields and computational technologies such as machine learning, generative intelligence, and language-based models and illustrate their transformative impact on their applications. This proceeding, comprising many techniques that focus on using AI in many fields such as Climate Change and Biodiversity Conservation, Sustainability and Environmental Impact, Education and Learning Techniques, Smart City Planning and Management, and Agriculture for Sustainable Food Production, also introduces innovative methodologies and presents the findings derived from their original research. Theoretical and empirical studies featured in this book employ a range of computational techniques, including deep learning frameworks, data-driven analysis, and optimization algorithms. These approaches enhance the performance and efficiency of various applications in sectors like healthcare, finance, and entertainment. Additionally, the book explores the ethical implications of deploying AI technologies and provides strategies to navigate the associated risks.
The chapters discuss essential topics such as methodology, validation, and the implications of AI in real-world scenarios, making this book a vital resource for understanding and leveraging the power of Artificial Intelligence and Computational Technologies in contemporary applications.
