Russia plans to deploy machine learning in the production and operation of military aviation equipment. The proposal was put forward by RT-Techpriemka, Rostec’s subsidiary, and the Flight Safety Service of the Russian Defence Ministry, пишет Rostec’s press service.
To build the platform, the company’s specialists will collect and digitise all available manufacturing information, including production volumes, process parameters, throughput rates, and the speed and quality of handling claims.
Based on this data, the “smart” system will study production processes, compute their optimal parameters, and issue recommendations to the human operator.
«Чтобы добиться максимальной точности, её [модель] необходимо обучать в несколько этапов, добавляя или убирая некоторые наборы данных. Конечным продуктом должен стать веб-сервис или мобильное приложение с удобным интерфейсом», — рассказал генеральный директор АО «РТ-Техприемка» Владлен Шорин.
The deployment of advanced machine learning will help minimise risks in flight-safety during the design of equipment based on predictive analytics, Rostec says.
For example, an algorithm at the aircraft’s assembly stage could identify a potential defect that could cause equipment failure during the aircraft’s operation. This will allow engineers to detect potential threats and address them in advance.
«Having objective and complete information about the root causes of possible failures of aviation equipment at the level of technological processes will help prevent more serious events», said Sergei Baynetov, head of the Flight Safety Service of the Russian Air Force.
Earlier, the Association of Russian Lawyers proposed that state bodies regulate the use of AI in the country.
In late March 2021, the Pentagon urged to broaden the use of artificial intelligence for military purposes, in order not to fall behind competitors.
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