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@@ -34,7 +34,7 @@ All of this is to show you that our ability to distinguish objects extends beyon
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This underscores the necessity for more robust systems--ones capable of adapting to a variety of scenarios. This is why the field is so closely related to artificial intelligence. Vision is context-rich, and we need models that are capable of leveraging these clues similarly to what we do.
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Let's take the example of Indiana Jones running from a boulder. There is a ball and there is running, but no one would rarely call that a sport! We know this because we rely on some context clues. The ball Indiana Jones is running away from looks heavy and twice his size. His face reflects his distress. The space is very narrow and it looks like a cave which is unusual for sports. Plus, we recognize his attire and that is not usually how players dress themselves.
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Let's take the example of Indiana Jones running from a boulder. There is a ball and there is running, but no one would really call that a sport! We know this because we rely on some context clues. The ball Indiana Jones is running away from looks heavy and twice his size. His face reflects his distress. The space is very narrow and it looks like a cave which is unusual for sports. Plus, we recognize his attire and that is not usually how players dress themselves.
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## The Motivation Behind Creating Artificial Systems Capable of Simulating Human Vision and Cognition
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