Researchers are exploring the use of lightweight and interpretable machine learning models for various applications, including stress detection, medical diagnosis, and material property prediction. The models are being investigated for their efficiency and ability to provide explainable results in different fields, such as healthcare and construction materials. Different studies are examining the effectiveness of these models in tasks like anomaly detection, image classification, and prediction of mechanical properties.