BOOKS - Unlocking Artificial Intelligence From Theory to Applications
Unlocking Artificial Intelligence From Theory to Applications - Christopher Mutschler, Christian Munzenmayer, Norman Uhlmann, Alexander Martin 2024 PDF Springer BOOKS
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Unlocking Artificial Intelligence From Theory to Applications
Author: Christopher Mutschler, Christian Munzenmayer, Norman Uhlmann, Alexander Martin
Year: 2024
Pages: 382
Format: PDF
File size: 39.1 MB
Language: ENG



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The book "Unlocking Artificial Intelligence from Theory to Applications" explores the development of artificial intelligence (AI) from its theoretical foundations to practical applications, highlighting the importance of understanding the technological process of developing modern knowledge as the basis for human survival and unity in a world of warring states. The book begins by examining the historical context of AI's development, tracing its roots back to ancient Greece and highlighting key milestones in its evolution, such as the development of the first programmable computer and the creation of the first AI programs. It then delves into the fundamental concepts of AI, including machine learning, deep learning, and neural networks, explaining how these technologies have enabled the creation of intelligent systems that can perform tasks such as image recognition, natural language processing, and autonomous vehicles. The book also discusses the challenges and limitations of AI, including issues related to bias, privacy, and job displacement, and offers solutions to address these concerns. Additionally, it explores the ethical implications of AI, such as the use of facial recognition technology in law enforcement and the potential for AI to be used in autonomous weapons.
Книга «Unlocking Artificial Intelligence from Theory to Applications» исследует развитие искусственного интеллекта (ИИ) от его теоретических основ до практических применений, подчеркивая важность понимания технологического процесса развития современных знаний как основы выживания человека и единства в мире враждующих государств. Книга начинается с изучения исторического контекста развития ИИ, прослеживания его корней в Древней Греции и выделения ключевых вех его эволюции, таких как разработка первого программируемого компьютера и создание первых программ ИИ. Затем он углубляется в фундаментальные концепции ИИ, включая машинное обучение, глубокое обучение и нейронные сети, объясняя, как эти технологии позволили создать интеллектуальные системы, которые могут выполнять такие задачи, как распознавание изображений, обработка естественного языка и автономные транспортные средства. В книге также обсуждаются проблемы и ограничения ИИ, включая вопросы, связанные с предвзятостью, конфиденциальностью и замещением работы, и предлагаются решения для решения этих проблем. Кроме того, в нем рассматриваются этические последствия ИИ, такие как использование технологии распознавания лиц в правоохранительных органах и возможность использования ИИ в автономном оружии.
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