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Application of Artificial Intelligence Technology in Social Training

Published: 14 March 2022 Publication History

Abstract

Social training is a combination of the number of systems and the number of processes, which can ensure easy business management. The effective application of artificial intelligence can be combined with the business field and the official field. This hypothesis represents the official assessment of human beings. Employees can meet many of the requirements of their field of work by meeting their requirements, and can follow their carrier conditions. It can be monitored by the camera and saved to the external memory, because of this situation it can be controlled by the FPGA controller. Can monitor their performance, health, skill development and their training time. This process involves input that can pass through the camera in the form of video. The output can be visualized by a computer system; this process can continue to run until the goal is achieved. The field programmable gate array (FPGA) contains artificial neural network (ANN) algorithms. The existing algorithms are the support vector machine algorithm (SVM) and the convolutional neural network algorithm (CNN) algorithm. By using this algorithm, the efficiency can be achieved a lot, and the process can be very easy.

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Cited By

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  • (2024)Artificial Intelligence in Employee Learning Process: Insights from Generation ZNaše gospodarstvo/Our economy10.2478/ngoe-2024-001470:3(21-36)Online publication date: 6-Oct-2024
  • (2024)The Future of Employees’ Learning: Understanding Generation Z Attiitudes Towards Artificial IntelligenceChallenges in the Turbulent Economic Environment and Organizations’ Sustainable Development10.18690/um.epf.5.2024.53(559-570)Online publication date: 20-May-2024

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cover image ACM Other conferences
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 March 2022

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Cited By

View all
  • (2024)Artificial Intelligence in Employee Learning Process: Insights from Generation ZNaše gospodarstvo/Our economy10.2478/ngoe-2024-001470:3(21-36)Online publication date: 6-Oct-2024
  • (2024)The Future of Employees’ Learning: Understanding Generation Z Attiitudes Towards Artificial IntelligenceChallenges in the Turbulent Economic Environment and Organizations’ Sustainable Development10.18690/um.epf.5.2024.53(559-570)Online publication date: 20-May-2024

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