Neural Networks for Physics Research. A Personal Perspective on the Application of Neural Networks in Science

Artificial intelligence is now an inherent part of research activities across almost all scientific disciplines. Many decision-making processes rely on neural networks; however, the learned patterns are rarely explored to contrast them with human intuition. In the same way, similarity analyses are seldom performed when using neural networks to generate synthetic events. These aspects, along with the development of sustainable neural networks, are addressed in this presentation.