Artificial Neural Networks in High Energy Physics Data Processing (Succinct Survey) and Probable Future Developments

The rising the role of artificial neural networks (ANN) as part of machine learning/deep learning (ML/DL) in high energy physics (HEP) and related areas can be seen last decade. Several reasons for rising the role of ANN were observed. It is paid attention to specific topics: learning transfer, distributed learning, ensemble of ANN. A lot of new experimental data will come from existing and new complex data taking systems in coming years, which will require advanced analysis with ANN running on appropriate computing hardware. Finally, the idea of future ANN development directions for HEP and related areas has been supposed.