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Crash Course: Artificial Intelligence
Robotics #11
Season 1
Episode 11
Robots aren’t like humans who can do a lot of different things. They’re designed for very specific tasks like vacuuming our homes, assembling cars in a factory, or exploring the surface of other planets. Today, we're going to take a look at the role of AI in overcoming three key challenges in the field of robotics: localization, planning, and manipulation.
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10:50
In our final episode of Crash Course AI, we're going to look towards the future.

13:01
Jabril tries to make an AI to settle the question once and for all.

10:56
We're going to talk about 5 common types of algorithmic bias we should pay attention to.

11:08
Search engines are just AI systems that try to help us find what we’re looking for.

14:33
We need to save Jabril and John Green Bot’s movie nights.

10:19
We’re going to talk about recommender systems.

9:56
We’re going to focus on the benefits of humans and AI working together.

13:06
We create a game and then build an AI to destroy it.

11:11
One of the best test spaces for building new AI systems are games.

13:01
Symbolic AI represents problems using symbols and then uses logic to search for solutions.

11:07
Reinforcement Learning.

15:17
Let’s try to help John Green Bot sound a bit more like the real John Green using NLP.