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The AI Revolution

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Introduction ✓ The emergence of new AI tools has made many people thrilled–and some a little worried–about the future. Are we in the middle of an AI Revolution, and if so, what do we need to know about the power of AI?
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What Exactly is AI? ✓ Let’s define Artificial Intelligence and explore the ways it’s being integrated into our daily lives. We’ll also briefly go over some of the risks and challenges it could pose to society.
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Types of AI ✓ You might’ve heard of “Artificial General Intelligence” and “Artificial Narrow Intelligence.” We’ll discuss how AGI and ANI differ as well as four key systems, and where scientists are at in terms of their development.
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Machine Learning ✓ Machine learning allows computers to learn on their own. This lesson explores the three types of machine learning: supervised, unsupervised, and reinforcement learning.
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Neural Networks ✓ Neural networks are a versatile tool that can be utilized across different types of machine learning. We’ll talk about how they’re similar to the human brain.
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Natural Language Processing ✓ Neural networks have led to progress in a field called Natural Language Processing, or NLP. We use NLP for developing tools like chatbots, speech recognition, and language translation.
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Robotics ✓ Great strides are being made in the field of robotics, too. Most robots have some basic components that allow them to “sense, think, and act.”
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Ethics in AI ✓ We need to start grappling with some of the moral implications of Artificial Intelligence. Let’s take a closer look at two issues that have popped up in recent years: AI bias and AI surveillance.
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The Future of AI ✓ What might the future of AI look like? Let’s explore its impact on human psychology, and some of the “big picture” questions that come along with it.
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Key Terms ✓ This lesson offers a recap of 15 key terms to remember. Afterwards, feel free to view the two extra lessons or take the final quiz.

Extras