2019 freshman Emerging Technology: Chapter 3 Artificial Intelligence | 1-25 Questions& Answe |Part 1

Welcome to your complete Emerging Technology review! 📐 In this video, we go through 1-26 multiple-choice questions with step-by-step answers covering Chapter 3: Artificial Intelligence. 📚 What you'll learn: Definition of AI: Man-made thinking power, branch of computer science Intelligence and Knowledge: Components of intelligence, knowledge from experience AI System: Agent and Environment, machine perception Machine Learning and Deep Learning: Advanced forms of AI, neural networks Need and Goals of AI: Expert systems, solving complex problems Disciplines Contributing to AI: Computer science, psychology, neuroscience, maths, philosophy, biology Advantages and Disadvantages of AI: High accuracy, speed, reliability vs. high cost, no emotions, no creativity History of AI: McCulloch and Pitts (1943), Turing Test (1950), Logic Theorist (1955), Dartmouth Conference (1956), ELIZA (1966), WABOT-1 (1972), AI winters, Deep Blue (1997), Roomba (2002), Watson (2011), Google Now (2012) Levels of AI: Rule-Based Systems, Context Awareness, Domain-Specific Expertise, Reasoning Machines, Self-Aware Systems (AGI), Artificial Superintelligence (ASI), Singularity Types of AI Based on Capabilities: Narrow AI, General AI, Super AI Types of AI Based on Functionality: Reactive Machines, Limited Memory, Theory of Mind, Self-Awareness How Humans Think: Observe, interpret, decide Applications of AI: Agriculture, healthcare, education, finance, gaming, social media, data security, travel & transport, robotics, entertainment, automotive AI Tools and Platforms: Microsoft Azure ML, Google Cloud Prediction API, IBM Watson, TensorFlow, etc. Each question is explained step by step so you understand not just the answer, but why it's correct. 👍 Like, Subscribe, and hit the bell for more Emerging Technology review videos! #EmergingTechnology #Chapter3 #ArtificialIntelligence #MachineLearning #DeepLearning #AI #StudyGuide #WendeTutorial