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Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

cs.cmu.edu

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Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#151
post #146

Personally, I find the lack of logic programming, and logic in general, a rather notable property of the outlined curriculum. In fact, "logic" is nowhere explicitly mentioned in the course titles. Neither are "formal" and "method". For comparison, at the department of AI in Edinburgh, Prolog was very important and even actively developed to such an extent that current Prolog systems are still hugely influenced by "Ed…

Math Foundations of Computer Science (15-151) covers proofs, combinatorics, etc.

https://csd.cs.cmu.edu/course-profiles/15-151-Mathematical-F...

Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#153
post #145
post #139

University of Toronto Engineering also is starting a Machine Intelligence option: Engineering Science - Machine Intelligence Option http://engsci.utoronto.ca/explore_our_program/majors/machine... What is the difference between the Machine Intelligence major in Engineering Science, and an undergraduate degree in Computer Science? While there are some commonalities between the Machine Intelligence major and what is off…

I got my BSc at U of T, in Artificial Intelligence (and Cognitive Science)... in 2006. So ahead of the curve! This was right before the big deep learning explosion, at the very end of the last AI winter. Our lecturers spent a whole lot of time lamenting at the endless disappointments of AI research. I walked away deeply skeptical, and can't help but see the current ML hype as a glass half empty.

What were they disappointed in?

Also, what do you mean by "see the current ML hype as a glass half empty"? I take it that you are also disappointed with the recent research

I'm just getting into the field, but it seems to me at least in computer vision, voice recognition, and text to speech there have been great strides in the recent years

Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#154
post #84

Carnegie Mellon was the first university to offer a PhD in Machine Learning (via the Machine Learning Department which, again, I think is relatively unique in its existence). Regardless of how you feel about the hype, they made an early bet on the field and adding an undergraduate degree seems consistent. Source: https://www.ml.cmu.edu/about/index.html

What I don't yet understand is how this new AI program differs from machine learning. Is AI about broader questions about conversational interactions and interpretability, closer to the Lisp heydays of 5 decades ago, or more about applications than theory? Edit: years to decades

From the article:

> The bachelor's degree in AI will focus more on how complex inputs — such as vision, language and huge databases — are used to make decisions or enhance human capabilities

My understanding is that AI is more about applying ML concepts to mimic human intelligence.

Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#155
post #15

Is CMU trying to compete with Udacity? I personally couldn’t take a degree in AI seriously.

Are you really comparing CMU with Udacity?

That's like comparing any Ferrari model with a Corolla. Not saying Udacity is bad. I mean a Corolla is a great, cheap, pragmatic and utilitarian car, just like Udacity is a great, cheap, pragmatic way to learn academic topics.

But you really can't compare the two things. Carnegie Mellon and Udacity are extremely different and non-comparable in any rational way.

Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#156
post #49

This seems like a publicity stunt. It sounds like a CS degree where the electives are predetermined. Why couldn't they just make this a concentration when it's so intimately intertwined with CS. The extra overhead graduates will have to deal with doesn't seem worth it. "AI majors will receive the same solid grounding in computer science and math courses as other computer science students. In addition, they will have…

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Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#157
post #95

Earlier quoted context omitted.

I made the mistake my sophomore year at CMU of enrolling in a graduate-level economics class called "Game Theory" because I got my course prefixes incorrect, and assumed it was a CS class about video games. I am now much more versed in Nash equilibria than I ever thought I'd be, but damn, that class took a chainsaw to my GPA.

Ha! Grad school at CMU took a chainsaw to my GPA after 1st year. Studying 16h/day and still didn't have enough time to complete all assignments and understand the material. Awesome school though, would do it again.

I would do it again, too!

Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#159
post #145
post #139

University of Toronto Engineering also is starting a Machine Intelligence option: Engineering Science - Machine Intelligence Option http://engsci.utoronto.ca/explore_our_program/majors/machine... What is the difference between the Machine Intelligence major in Engineering Science, and an undergraduate degree in Computer Science? While there are some commonalities between the Machine Intelligence major and what is off…

I got my BSc at U of T, in Artificial Intelligence (and Cognitive Science)... in 2006. So ahead of the curve! This was right before the big deep learning explosion, at the very end of the last AI winter. Our lecturers spent a whole lot of time lamenting at the endless disappointments of AI research. I walked away deeply skeptical, and can't help but see the current ML hype as a glass half empty.

I'm currently about to enter my freshman year of College, and have been looking at majoring in Cognitive Science. What were your thoughts on it/it's applicability to the rest of your life?

Re: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

#160
post #145

Earlier quoted context omitted.

I got my BSc at U of T, in Artificial Intelligence (and Cognitive Science)... in 2006. So ahead of the curve! This was right before the big deep learning explosion, at the very end of the last AI winter. Our lecturers spent a whole lot of time lamenting at the endless disappointments of AI research. I walked away deeply skeptical, and can't help but see the current ML hype as a glass half empty.

What were they disappointed in? Also, what do you mean by "see the current ML hype as a glass half empty"? I take it that you are also disappointed with the recent research I'm just getting into the field, but it seems to me at least in computer vision, voice recognition, and text to speech there have been great strides in the recent years

Have a look at https://en.wikipedia.org/wiki/AI_winter

I personally wasn't disappointed — I'm really glad I did this as my undergrad. AI research however tends to go through periods of hype followed by disillusionment. There's a history of promising developments that hit a wall or fizzle out in the long run. That's not to say there hasn't been progress (there's been tons!), but based on track record alone, it's prudent to be skeptical of overly optimistic pronouncements — we're probably much further from the "singularity" than one would think, based on current wave of ML hype anyway.

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