Interdisciplinary Approaches To Ai Internet Of Everything And Machine Learning
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Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning
Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.
AI's Role in Enhanced Automotive Safety
Artificial intelligence (AI) plays a transformative role in enhancing automotive safety, revolutionizing how vehicles prevent accidents and protect passengers. By integrating advanced sensors, real-time data analysis, and machine learning algorithms, AI enables cars to detect hazards, predict potential collisions, and respond fast. From driver-assistance features like automatic emergency braking and lane assistance, to the development of fully autonomous vehicles, AI reshapes the landscape of road safety. As technology evolves, AI's role in minimizing human error and improving safe, smart transportation begs further exploration. AI's Role in Enhanced Automotive Safety explores AI-driven advancements in automotive safety, highlights possible obstacles to widespread adoption, and offers policy suggestions. It examines the possible impacts of AI-driven technology on vehicle safety. This book covers topics such as deep learning, neural networks, and sensor technology, and is a useful resource computer, civil, and mechanical engineers, automotive business owners, urban developers, academicians, researchers, and data scientists.
Embracing the Cloud as a Business Essential
Through cloud computing, a vast amount of processing power may now be accessed with only a few clicks of the mouse. As a consequence of this, the manner in which businesses approach computers for the purposes of conducting research and carrying out commercial activities will undergo a considerable transition. This move marks a substantial democratization of computing power, which means that it will have an influence on every industry and will ignite the flames of innovation at a rate that has never been seen before. Embracing the Cloud as a Business Essential explores the transformation brought about by the shift in the way that processing power is utilized. It discusses "Computer as a Commodity" rather than "Computer as a Service" as the proper moment for enterprises to begin addressing its utilization. Covering topics such as cost management, marginalized communities, and smart contracts, this book is an excellent resource for business leaders, computer programmers, cloud developers, professionals, researchers, scholars, academicians, and more.