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Crash Course: Artificial Intelligence
Let's Make an AI that Destroys Video Games (LAB) #13
Season 1
Episode 13
Our game is called TrashBlaster, and it’s like Asteroids but with trash in the ocean, and instead of a spaceship John Green Bot is wielding a laser. We'll use machine learning techniques such as an evolutionary neural network alongside a carefully crafted fitness function to create an unstoppable AI. Follow along: https://colab.research.google.com/drive/1uYXTDeBbPeuJfM1teufZ9nUaiRIN9nHW
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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.

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

9:52
Robots are built to perform specific tasks.

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.