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Artificial Intelligence has many types, and one of the most fundamental is Reactive Machines. In this video, we explore what Reactive Machines are, their characteristics, real-world examples like IBM’s Deep Blue, their advantages, limitations, and why they are considered the foundation of AI. If you’re a student, researcher, or AI enthusiast, this video will help you build a clear understanding of the first step in the evolution of AI systems. 🔹 What you’ll learn in this video: What Reactive Machines are in Artificial Intelligence Key characteristics of Reactive Machines Real-world examples (IBM Deep Blue, rule-based systems) Advantages and limitations of Reactive Machines How they differ from other types of AI Why Reactive Machines are considered the foundation of AI This video is a part of our AI learning series that simplifies Artificial Intelligence concepts for easy understanding. ✅ Hashtags #ReactiveMachines #ArtificialIntelligence #TypeOfAI #MachineLearning #AITutorial #ProfessorRahulJain #Education #AIExplained #KnowledgeSharing reactive machines, type of ai, types of artificial intelligence, reactive machines in ai, reactive machines explained, deep blue ibm ai, chess ai, rule based ai, ai tutorial for beginners, machine learning basics, artificial intelligence basics, ai education, ai learning series, professor rahul jain, ai knowledge, foundation of ai, reactive machines examples, ai types explained ⚠️ Disclaimer This video is created only for educational and knowledge-building purposes. The content is AI-generated and may contain inaccuracies. Kindly verify all facts and information before using it for academic or professional purposes.