Скачать или смотреть How Has Knowledge Representation Evolved In AI Systems? - AI and Machine Learning Explained

How Has Knowledge Representation Evolved In AI Systems? Are you curious about how AI systems store and process knowledge? In this engaging video, we explore the evolution of knowledge representation in artificial intelligence. We’ll begin by explaining what knowledge representation is and why it’s essential for AI to understand and interact with the world. You’ll learn about the early approaches that relied on symbolic methods, using words and rules similar to human logic. We’ll then look at how expert systems in the 1970s and 1980s used large sets of rules to solve specific problems and the limitations they faced. Moving forward, we’ll discuss the shift towards machine learning in the 1990s and 2000s, highlighting how neural networks learn patterns from vast amounts of data rather than storing fixed facts. Today, many AI systems combine both symbolic and data-driven techniques, creating hybrid models that are more adaptable and capable. We’ll also address the challenges these systems face, such as biases inherited from training data and difficulties in explaining decision processes. Join us as we examine how current knowledge representation methods shape the future of AI development, influenced by new ideas and societal needs. Don’t forget to subscribe for more insights into AI and machine learning!

⬇️ Subscribe to our channel for more valuable insights.

🔗Subscribe: https://www.youtube.com/@AI-MachineLe...

#AI #MachineLearning #KnowledgeRepresentation #ArtificialIntelligence #NeuralNetworks #DeepLearning #ExpertSystems #AIHistory #DataScience #AIResearch #FutureOfAI #AIApplications #TechInnovation #AIChallenges #AIEthics

About Us: Welcome to AI and Machine Learning Explained, where we simplify the fascinating world of artificial intelligence and machine learning. Our channel covers a range of topics, including Artificial Intelligence Basics, Machine Learning Algorithms, Deep Learning Techniques, and Natural Language Processing. We also discuss Supervised vs. Unsupervised Learning, Neural Networks Explained, and the impact of AI in Business and Everyday Life.