The Seven Patterns of AI: A Core Definition for AI

The podcast discusses the seven patterns of AI, which provide a framework for understanding different types of AI systems and their objectives. These patterns include conversation and human interaction, recognition, autonomous systems, hyper-personalization, pattern and anomaly detection, predictive analytics and decision support, and goal-driven systems. Each pattern focuses on solving different types of problems using AI techniques. Examples of these patterns in practice include chatbots and voice assistants in the conversation pattern, facial recognition and sound recognition in the recognition pattern, and autonomous vehicles in the autonomous systems pattern.