Scientists from the Institute of Nuclear Physics of the Polish Academy of Sciences (IFJ PAN) have proposed using artificial intelligence (AI) algorithms to reconstruct particle tracks in high-energy physics experiments. The researchers have developed a deep neural network that was trained using simulated particle collisions and was able to accurately reconstruct particle tracks. They suggest that the first experiment where the AI algorithms could be utilized is the MUon ON Electron elastic scattering experiment, which aims to improve the precision of certain physical parameters. If successful, this could mark a new era in particle detection techniques and enhance our understanding of fundamental particles.