/ The core types of ambiguity include recognition ambiguity (multiple possible interpretations of input), segmentation ambiguity (uncertainty in grouping inputs), and target ambiguity (uncertainty about which component should handle input). These different forms require specific architectural considerations. This necessitates adaptable AI architectures. Here are key approaches to address ambiguity:Probabilistic Reasoning: Model uncertainty with tools like […]