
Comprehensive exploration of AI fundamentals, covering search algorithms, logic, planning, reasoning under uncertainty, and machine learning techniques like decision trees and neural networks.

Exploring concept-based interpretable AI models for efficient transfer learning in healthcare, focusing on generalizability and minimal data requirements for domain adaptation in medical imaging.