Modular Neural Networks are AI models composed of smaller interconnected modules, each responsible for a specific sub-task or component. These modular architectures allow for easier interpretation, flexibility, and scalability. Modular neural networks have applications in areas like computer vision, natural language processing, and robotics.
Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different…