Researchers at the Technical University of Munich demonstrated that artificial neural networks pretrained using biological data from early visual system development in mice outperform models without such training. This pretraining enabled faster and more accurate predictions of animated and real-world movements, showcasing how integrating biological insights can improve AI performance. The approach highlights opportunities for computer vision and autonomous systems to leverage nature-inspired training paradigms.