Near Ring

The term "near-ring" appears in several distinct research areas, primarily focusing on mathematical frameworks for computational models, particularly in quantum computing and neural networks. Current research explores near-ring structures to analyze and optimize quantum finite automata and to provide a unified understanding of quantum computing and deep learning, including the development of novel algorithms and model architectures for tasks such as instance segmentation and global localization. This work has implications for advancing both theoretical understanding of computation and the development of more efficient and robust algorithms in various applications, from traffic control to remote sensing image interpretation.