Definition: "SSNetC11," a novel, was developed to synthesize natural language processing techniques into artificial neural networks for improved accuracy and speed in natural language understanding tasks. Specifically, it focuses on the task of semantic entailment, where systems attempt to infer whether two sentences are related based on their shared meaning or context. This approach has significant implications for developing more powerful, robust, and efficient AI models that can process large amounts of text data much faster than current state-of-the-art approaches.