Название: Research Trends in Artificial Intelligence: Internet of Things
Автор: Sonali Mahendra Kothari, Vijayshri Nitin Khedkar, Ujwala Kshirsagar
Издательство: Bentham Books
Год: December 22, 2023
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 37.2 MB

Stay informed about recent trends and groundbreaking research driving innovation in the AI-IoT landscape.

AI, a simulated form of natural intelligence within machines, has revolutionized various industries, simplifying daily tasks for end-users. This book serves as a handy reference, offering insights into the latest research and applications where AI and IoT intersect. The book includes 12 edited chapters that provide a comprehensive exploration of the synergies between AI and IoT. The contributors attempt to address engineering opportunities and challenges in different fields.

Everyone has been utilizing the Internet of Things in current years (IoT). Therefore, as the IoT has grown enormously, so too have concerns about Artificial Intelligence. Artificial Intelligence (AI) is at the forefront of ubiquitous computing and is utilized to create intricate algorithms to safeguard networks and systems, including IoT devices. But to carry out cyber security assaults, hackers have learned how to make use of AI, and they have even started to deploy antagonistic AI. The goal of this research work is to comprehensively present and summarize the pertinent literature in these fields. It does this by compiling data from a few other surveys and research papers regarding sustainable development using AI, IoT, and attacks with and against AI. It also shows the relationship between IoT and AI.

The main role of IoT (Internet of Things) in AI (Artificial Intelligence) is to provide a vast amount of data for AI algorithms to process and analyse. This data can be used to improve the accuracy and performance of AI systems, and also to enhance the capabilities of IoT devices through the integration of AI algorithms.

IoT devices can generate data on various aspects of the physical world, including temperature, humidity, pressure, and other environmental conditions. This data can be analysed by AI algorithms to identify patterns, make predictions, and make decisions. Additionally, IoT devices can be equipped with AI algorithms to perform tasks on the edge, reducing the need for data to be transmitted to the cloud for processing and analysis. This can improve the speed and efficiency of AI systems, and also diminish the amount of data that needs to be transferred, which can be particularly important in low-bandwidth or low-power environments.

Key Topics:
AI and IoT in Smart Farming: Explore how these technologies enhance crop yield and sustainability, revolutionizing agricultural practices.
AIoT (Artificial Intelligence of Things): Understand the amalgamation of AI and IoT and its applications, particularly focusing on smart cities and agriculture.
Smart Healthcare and Predictive Disease Analysis: Uncover the crucial role of AI and IoT in early disease prediction and improving healthcare outcomes.
Applications of AI in Various Sectors: Explore how AI contributes to sustainable development, sentiment analysis, education, autonomous vehicles, fashion, virtual trial rooms, and more.

Each chapter has structured sections with summaries and reference lists, making it an invaluable resource for researchers, professionals, and enthusiasts keen on understanding the potential and impact of these technologies in today's rapidly evolving world.








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