Author: AGI Editorial Staff

The book introduces programming concepts through Python language. The simple syntax of Python makes it an ideal choice for learning programming. Because of the availability of extensive standard libraries and third-party support, it is rapidly evolving as the preferred programming language among the application developers. It will bolster your foundational skills in Artificial Intelligence. Make

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This book, AICON 2022, constitutes the post-conference proceedings of the 4th EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2022, held in Hiroshima, Japan, in November 30- December 1, 2022. The 9 full papers and 4 short papers were carefully reviewed and selected from 36 submissions. The papers detail research in the

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In this comprehensive guide, “Artificial Intelligence: Understanding Future’s Language,” readers will learn about the exciting world of artificial intelligence (AI) and how it’s transforming the future of technology. The book provides an in-depth overview of the different aspects of AI, including machine learning, natural language processing, computer vision, robotics, and more. With clear explanations and

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Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through artificial intelligence (AI), as well as the challenges and path ahead for AI in computing and control across different domains of business and

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AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this

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Recent technological developments in sensors, edge computing, connectivity, and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained, energy-efficient hardware devices for processing information at the network edge. Embedded AI combines embedded machine learning (ML) and deep learning (DL) based on neural networks (NN) architectures such

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