The computational problem in artificial intelligence (AI) refers to the challenges and limitations associated with developing efficient algorithms and techniques for solving complex tasks or problems within various domains of computation, such as optimization, decision-making, pattern recognition, and knowledge representation. These challenges often arise from the inherent complexity and uncertainty of real-world systems, which can involve large-scale or high-dimensional data, nonlinear relationships between variables, dynamic changes or disturbances in the environment, and limited computational resources or constraints.

• optimization
• decision-making
• pattern recognition
• knowledge representation
• medical imaging
• disease diagnosis
• machine learning

For instance, developing an AI system that can accurately diagnose diseases based on medical images requires solving a complex computational problem involving image processing, machine learning, and domain-specific knowledge. The algorithm must be able to handle large amounts of data, including images from various modalities, and identify patterns and relationships between features and patient outcomes.

• Effective Problem Formulation