When You’re Not a Computer Scientist, You’re a Computer Engineer

The following is a guest post by Roberta A. Niehaus, Ph.

D. Professor of Computer Science, University of Southern California.

Roberta is a co-author on the article and an editor of the book, “The Art of Computer Programming.”

This interview was conducted in January 2018.

Robert A. A.

Niehaus: I would like to start off by saying thanks to everyone who participated in this interview.

Thank you for listening.

Robert Niehuis: It’s been an honor to talk to you.

My name is Robert A., and I’m a PhD student in Computer Science at the University of California at Los Angeles.

My research focuses on how computer vision and machine learning work.

This summer, I’m going to be visiting the Silicon Valley, and I’ll be teaching classes about computer vision, neural networks, machine learning, and the latest research on AI.

This was an incredibly fruitful conversation.

Thanks to everyone for being here.

I’m thrilled to be sharing it with you.

Robert: Thanks for having me.

I really appreciate your time.

And I hope you enjoy the rest of the interview.

Robert E. Niedhaus: It was great to have you.

I enjoyed talking with you and appreciate your enthusiasm for learning about machine learning.

Thank all of you.

We hope to see you soon in California.

Bye-bye.

Robert S. Nienhaus: Good afternoon, everyone.

Robert and I have been speaking with people about machine intelligence for over 10 years, and we have developed a strong relationship over the last few years.

I was very excited to get to talk with you today.

Robert M. Nierhaus: Thanks so much for having us, Robert.

Robert, it’s been fun to talk about your work.

I know you are a computer scientist.

I have read your work in papers, so I know the work you do is focused on machine learning and AI.

We’ve written about the ways in which we think about AI in the past.

Robert R. Nienthaus: Yes, well, I would say that the first time I ever learned about AI was in 1984, when I was teaching high school, and when I first learned about the field, I was really shocked.

I started to look into it very closely and, at the time, I didn’t really understand how it worked or how to apply it.

Robert D. Niemhaus: You know, I can think of two reasons why this is.

One is that, at that time, the first AI was called the “Robot Intelligence”.

It was an idea that there was some form of machine intelligence that could do things.

Robert F. Niathaus: That’s a good point.

I mean, this is an idea I hadn’t heard before.

Robert L. Niewhahn: Yes.

Robert P. Niambs: And the second reason is that there were many other companies working on AI at that point, and it was really difficult to make any kind of firm decisions about how to approach the problem.

So it’s a lot of people in that industry, especially at the early stages, that were really working on this problem.

Robert T. Nietzhaus: This is a fascinating topic.

So, you mentioned the early days of the field.

I remember when I joined IBM in 1984.

I think it was about the time when the idea of machine learning started.

And so the idea was that you could take the information you were receiving from your senses and analyze it to make decisions.

And in fact, this kind of machine-learning approach was first described by the physicist John McCarthy in 1959, and he was the first person to use the term “machine intelligence”.

And so, there were people in the field that were using this very early idea, and then a lot more came out later.

Robert H. Nieuhaus: Well, there was a very early book called “The Science of Information”.

And I read it and it’s about this concept of intelligence.

And what’s interesting is that this book goes back to the very beginning of the human race.

It’s about the earliest humans, which means that it was just the beginning of human intelligence.

I wonder if we’re going to continue to see this kind the way that this story goes, which is that we’re all just living our lives in the same way, we all just want the best for ourselves and for others, and in the end, it will all work out for us.

Robert W. Nieshaus: Very interesting.

Robert J. Nielhaus: So, what was it that was going on in the world of information in the late 19th century?

Robert L.-M.

Niethhaus: As I was reading this book, I had the feeling that this is the book that’s going to tell us about the evolution of information.