Emerging Architectures and Research Frontiers

Analyze the architecture of State Space Models like Mamba as an alternative to Transformers

Apply gradient-based attribution methods (saliency maps, Integrated Gradients) for model interpretability

Apply SHAP for model-agnostic explanations

Generate adversarial examples to test model robustness

Implement Graph Neural Networks (GNNs) for learning on graph-structured data

Understand the principles of meta-learning (learning to learn) and implement MAML

Survey emerging architectural paradigms and active areas of AI research