The development of AI. Deep and machine learning

Автор: Stolyarov A.C., Radjabov T.R.

Журнал: Теория и практика современной науки @modern-j

Рубрика: Основной раздел

Статья в выпуске: 8 (38), 2018 года.

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In the field of artificial intelligence (AI) and especially machine learning (MO) is an amazing progress. New approaches to deep learning give impetus to the development of AI, with opportunities for self-improvement. But what are the broader social implications of this development, and to what extent are classic AI concepts still relevant? The article discusses these issues, including an overview of the basic concepts and concepts of AI in relation to big data. Special attention is paid to the roles, social consequences and risks of machine and deep learning.

Artificial intelligence, deep learning, autonomy, automation, algorithmic reporting, technology evaluation

Короткий адрес: https://sciup.org/140273760

IDR: 140273760

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