What makes for weak or strong AI? Weak AI is mimicking intelligence, while strong AI is actual intelligence.
- The philosopher John Searle pointed out…that you can think of artificial intelligence…in two different ways.…There's strong AI, and weak AI.…Strong AI is when you have a machine…that displays all the behavior…that you'd expect from a full fledged artificial person.…This is usually what you see in science fiction movies.…These are artificial beings that have emotions,…a sense of purpose and can even tell jokes.…Some computer scientists also refer to strong AI…as general artificial intelligence.…
General AI is a broad intelligence…that doesn't just apply to one narrow task.…Think of it this way, a strong AI machine…might learn a new language just for the joy…of learning a new language.…On the flip side, there's weak AI,…often called narrow AI.…This is AI that is confined to a very narrow task.…It might be like trying to process…your natural language into text.…Maybe it's trying to sort…all the pictures on your computer.…
A weak AI program is not trying…to chat with you about the world.…It's just trying to assist you…
Author
Doug Rose
Released
11/2/2017This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI. You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines. Instructor Doug Rose explains the different approaches to AI, including machine learning and deep learning, and the practical uses for new AI-enhanced technologies. Plus, learn how to integrate AI with other technology, such as big data, and avoid some common pitfalls associated with programming AI.
- The history of AI
- Machine learning
- Technical approaches to AI
- AI in robotics
- Integrating AI with big data
- Avoiding pitfalls
Skill Level Beginner
Duration
Views
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Introduction
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Welcome1m 58s
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1. What Is Artificial Intelligence?
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The history of AI4m 26s
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Define general intelligence4m 47s
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Strong vs. weak AI4m 53s
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Plan AI4m 57s
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2. The Rise of Machine Learning
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Machine learning4m 58s
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Artificial neural networks4m 26s
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Perceptrons5m 17s
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3. Finding the Right Approach
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Match patterns4m 54s
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Data vs. reasoning4m 33s
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Unsupervised learning4m 38s
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Backpropagation4m 22s
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Regression4m 51s
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4. Common AI Programs
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Robotics4m 52s
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Natural language processing4m 40s
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The Internet of Things4m 9s
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5. Mixing with Other Technologies
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Big data4m 22s
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Data science4m 39s
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6. Avoiding Pitfalls
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Pitfalls4m 39s
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Conclusion
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Next steps1m 6s
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Video: Strong vs. weak AI