APPLICATION OF NEURAL NETWORKS IN COMPUTER GRAPHICS AUTOMATION AND IT MANAGEMENT
DOI:
https://doi.org/10.47390/ts-v4i4y2026N08Keywords:
neural networks, deep learning, computer graphics, diffusion models, generative-adversarial networks, transformers, LSTM, graph neural networks, IT management, infrastructure automation, anomaly detection, predictive monitoring, reinforcement learning, image synthesis, resolution enhancement.Abstract
The paper considers the use of neural networks for automating computer graphics tasks and managing IT infrastructure. A comparative analysis of key architectures in both directions is carried out. It is shown that neural network methods consistently outperform classical approaches, but are sensitive to the distribution of input data and require significant computing resources. The general patterns of development of both directions are revealed.
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