P System

P systems, a class of computing models inspired by biological membranes and neural networks, aim to create efficient and biologically plausible computational systems. Current research focuses on enhancing spiking neural P systems (SNPS) through novel architectures like those incorporating U-Net backbones, learnable membrane thresholds, and multi-stage attention mechanisms, often implemented on GPUs for parallel processing. These advancements are improving the performance and energy efficiency of SNPS in applications such as robotic manipulation, image classification (e.g., breast cancer detection), and skin lesion segmentation, demonstrating their potential for practical applications in various fields.