Blocks
World4AI is organized into building blocks. Each block forms knowledge that is fundamental to modern artificial intelligence.
We intend to cover the basics of deep learning, symbolic ai, neurosciece and much more, but at the moment only a few sections have been started and none is considered finalized. More chapters will be published in the next weeks and months. But the overall process will most likely take many years.
Mathematics
Mathematics is the foundation for all artificial intelligence. If you want to understand AI in depth, you will need to invest some time into this block. Be aware though, that you do not need to work through all of mathematics in order to start learning AI. You can always come back here.
Deep Learning
Most of the recent successes in artificial intelligence is due to deep learning. Computer vision, natural language processing, generative art, board games and many more areas have been taken over by deep neural networks. Yet all those achievements will pale in comparison to those that will surely come in the next decades. This is a fascinating area to explore.
The block is suited for absolute beginners, but exposure to linear algebra, probability theory, calculus and Python is assumed.
Reinforcement Learning
A reasonable way to think about reinforcement learning is to think about animals whom you would like to teach good behaviour and discourage from bad behaviour. The way you would go about it would probably involve some reward when the animal behaves the way you desire and punishment when it doesn’t.
This block is suited for beginners, but we rely on some fundamental knowledge of deep learning for more advanced topics.
GOFAI
GOFAI stands for good old fashioned artificial intelligence. In this block we indend to cover topics like search and planning.
Neuroscience
Neuroscience is the study of the human brain. While this topic might not be absolutely necessary to understand AI, there are a lot of lessons that we can learn about AI by studying the only organ capable of complex behaviour, the human brain.