«Smart» industry
| dc.contributor.author | Antonova, A. | |
| dc.contributor.author | Snigur, T. | |
| dc.date.accessioned | 2021-06-18T06:16:12Z | |
| dc.date.available | 2021-06-18T06:16:12Z | |
| dc.date.issued | 2021 | |
| dc.description | Antonova, A. «Smart» industry / Alfiia Antonova, Tatyana Snigur // Artificial intelligence as a basis for the development of the digital economy : textbook / edited by I. Tatomyr, Z. Kvasnii. – Praha, 2021. – P. 200-216. | ru_RU |
| dc.description.abstract | The Turing test has not yet been passed. A superintelligence capable of learning as a person, acquiring new knowledge and solving previously unheard-of tasks, which would not be inferior in intelligence to most people, and in many things would even surpass it, has not yet been created. But already the technologies of the fourth industrial revolution are inviting modern enterprises to focus on an integrated approach. The use of statistical methods in production and at the operational stage is a dead-end branch of development. The symbiosis of machine learning and numerical modeling algorithms is a completely contingent decision. Yes, there are risks, but they can be mitigated with strong industry expertise and best-in-class technologies. The system only generates recommendations - the decision is still left to the human. Perhaps, in a very short time, artificial intelligence will be able to solve new creative problems, but today the technological tandem of man and machine looks the most realistic. | ru_RU |
| dc.identifier.uri | https://card-file.ontu.edu.ua/handle/123456789/17873 | |
| dc.language.iso | en | ru_RU |
| dc.subject | artificial intelligence | ru_RU |
| dc.subject | machine learning in industry | ru_RU |
| dc.subject | Self-learning manipulator | ru_RU |
| dc.subject | robots | ru_RU |
| dc.subject | diagnostics | ru_RU |
| dc.subject | oil and gas industry | ru_RU |
| dc.title | «Smart» industry | ru_RU |
| dc.type | Book chapter | ru_RU |
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