Okay, everybody.

Welcome to the course artificial intelligence one.

Impressively, many of you found their way here.

But it's only less than half of the people who have registered for the course, which

was to be expected, which is fine, especially since we only have space for half of the students.

So I'm also welcoming the students who are still not in Erlangen and are watching the

stream.

I hope you are doing well and can understand what we're saying.

I have no way of checking that.

I have to trust the technicians here who are doing the streaming.

Okay, so artificial intelligence.

This is the basic course, artificial intelligence one and two, we're offering of AI at this

university.

Many of you have heard things about AI.

Many of you know in particular, AI is important because it gives you good job opportunities

or so.

And some of you have probably been playing with TensorFlow or other AI things.

I would like to basically take a relatively more inclusive view of artificial intelligence.

Artificial intelligence is a subject that's been around for about 70 years now.

It started essentially 1950 with enormous promises.

People were under the impression that they would achieve human level intelligence by

these wonderful things that were called computers at the time and were about as big as the room

here, that we could do intelligence in a matter of 25 years or so.

That's not happened.

But there is by now a rich history of methods which are way beyond what is causing the current

hype.

Today, we are in the sixth, I would say, if I counted correctly, AI hype, fueled by a

different technology every time.

This time it's deep learning in neural networks.

There was a logic hype before that and an expert system hype before that.

And then there was the fifth generation project where the Japanese had the idea that if we

all do prologue then we'll have intelligence almost automatically and enough money, of

course.

Enough money was always the theme that went with the AI hype.

And so rather than giving you a deep learning course, we have those.

Other people give them.

I would like to give you a long walk through the vegetable garden of AI.

Show you all the little plants and so on, all the little techniques that have been developed

over the last decades.

Deep learning is going to be one of them.

But not the only one.

So this actually amounts to a realistically three semester course, of which we're giving

two semesters at FAU.

I don't really know enough about sensing and robotics to give a good course on this, so

I don't.

Also, that's not in the computer science department that much.

Robotics and so on is much more in electrical engineering, but also in medicine, technology,

and those kind of things.

So what you're getting from me is essentially two courses.

One of them is symbolic artificial intelligence, also known as good old fashioned.