Researchers are exploring the use of machine learning to predict the mechanical properties of 3D-printed polymer components. Various studies are investigating the application of machine learning models to optimize the performance of different types of polymers, including PLA, ABS, and nanocomposite polymers. The approaches being examined include multi-target machine learning, neural networks, and big data analytics to improve the prediction and optimization of mechanical properties in additive manufacturing.