Key Fields of Application in AI | 7th | week 2 |.
So can you talk about the different areas or categories of artificial intelligence? Now, there are lots of different fields that AI works in. But if I were to on a very very high level group some of the major areas where artificial intelligence is applied, I'd like to start off with natural language. Because natural language is, I'd say, the most complex data for machine learning to work with. If you see all sorts of data, whether that be a sequence to genome, whether that be audio, whether that be images. There's some sort of discernible pattern. There's some sort of yes, this is what a car sounds like or yes, this is what human voice sounds like. But natural language is fundamentally, a very human task. It's very human data source. We as humans invented it for humans to understand. If I were to, for example, give you a book title, there's actually a very very famous book, and the title of the book is there are two mistakes in the the title of this book. Now, there's actually only one mistake, the two the's. The human brain doesn't realize that. What's the second mistake? That there was only one mistake. So this is a sort of natural language complexity that's involved here. Humans we don't view natural language literally. We view it conceptually. If I were to write a three instead of an E, you will understand it because we don't mean the three in a literal sense. We mean that in a symbolic sense to represent the concept of E and you can contextualize that three to figure out that, "Yeah. It means in E" and not an actual three. These are things that computers aren't capable of.