BOOKS - Artificial Intelligence A Guide for Everyone
Artificial Intelligence A Guide for Everyone - Arshad Khan 2024 PDF | EPUB Springer BOOKS
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Artificial Intelligence A Guide for Everyone
Author: Arshad Khan
Year: 2024
Pages: 278
Format: PDF | EPUB
File size: 10.1 MB
Language: ENG



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Ramez Naam. The book "Artificial Intelligence A Guide for Everyone" by Dr. Ramez Naam is a comprehensive guide that provides an overview of artificial intelligence (AI) and its impact on society. The author explains how AI has evolved over time and how it will continue to shape our future. He argues that understanding AI's development process is essential for humanity's survival and unity in a world filled with conflict and division. The book begins with an introduction to AI, defining what it means and exploring its history, from ancient myths to modern machines. It then delves into the current state of AI research and development, discussing topics such as machine learning, deep learning, and neural networks. The author also examines the ethical implications of AI, including privacy concerns and job displacement. One of the central themes of the book is the need for a personal paradigm for perceiving technological progress. The author believes that people must understand how technology has evolved and how it will continue to evolve to make informed decisions about their lives and societies.
Рамез Наам. Книга «Искусственный интеллект - руководство для всех» доктора Рамеза Наама является всеобъемлющим руководством, в котором дается обзор искусственного интеллекта (ИИ) и его влияния на общество. Автор объясняет, как ИИ развивался с течением времени и как он будет продолжать формировать наше будущее. Он утверждает, что понимание процесса развития ИИ имеет важное значение для выживания и единства человечества в мире, наполненном конфликтами и разногласиями. Книга начинается с введения в ИИ, определения того, что он означает, и изучения его истории, от древних мифов до современных машин. Затем он углубляется в текущее состояние исследований и разработок в области ИИ, обсуждая такие темы, как машинное обучение, глубокое обучение и нейронные сети. Автор также рассматривает этические последствия ИИ, включая проблемы конфиденциальности и перемещения на работу. Одна из центральных тем книги - необходимость персональной парадигмы восприятия технического прогресса. Автор считает, что люди должны понимать, как развивались технологии и как они будут продолжать развиваться, чтобы принимать обоснованные решения о своей жизни и обществе.
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