Scientists at the Technical University of Munich demonstrated that pretraining artificial neural networks with biological data from mouse retinal waves significantly enhances prediction accuracy and speed. Mimicking early visual system development, this training method better equips AI to predict motion in both synthetic and real-world contexts. This interdisciplinary approach bridges biological insights and machine learning to optimize AI performance for tasks like autonomous driving and robotics.