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This popped out of nowhere. Because I am in serious dilemma if I should focus for a few years on Ai(ML||DL||NN). I got place on very respected computer club on

This popped out of nowhere. Because I am in serious dilemma if I should focus for a few years on Ai(ML||DL||NN). I got place on very respected computer club on my faculty. I got to choose in which team would I like to go. At first i wanted to go to OS/Systems programming. But recently I was reading a lot about Ai in terms pf CS. And pne of the board members of the computer club asked me why I do not think about joining Ai team, since I was very well covered on all basic bases of programming (OOP, algorithms and a little bit of functional in Lisp). Since then I am bashing my head really. Ai looks really interesting to me, but I am afraid of it's high level abstraction, and it looks to me that it is just piping data for the most people (those people who make actual algorithms are not included here). So i think my fear comes out of unknown. Ai is the future and it looks very interesting and attractive to me, plus I could go a learn awesome new things in terms of different, more exotic languages that could do me well in general as software engineer, but man I don't know yet...

maxander 10y ago
Something to keep in mind if you're looking into studying AI seriously is that it's really half a dozen barely-related fields, that have all retained the group name "AI" solely because it sounds cool. Machine learning specialists use a whole different set of ideas than robotic control specialists, for instance. The logical inference engines or expert systems that used to be the bread-and-butter of AI departments are now flippantly referred to as "GOFAI" ("Good Old-Fashioned AI") to distinguish them from the shiny new approaches that get students hired into Google. I think one could frame the question like this: What do you want to learn; logic, statistics, and/or cognitive science? For each there is a branch (or several branches) of "AI" that revolve around it, and have only a limited amount to do with the others.
- pouta 10y ago
  I am also struggling with deciding on what field to dive into. I really don't want to ask but can you give me some insights based on what I am looking for?
  - TeMPOraL 10y ago
    What do you want to build? Do you have a system you're excited about? For instance, a virtual assistant/personality? A robot that can move around and learn like an animal? Something else? Answering this will definitely help identify the proper field(s) to look at.

maxander 10y ago

Something to keep in mind if you're looking into studying AI seriously is that it's really half a dozen barely-related fields, that have all retained the group name "AI" solely because it sounds cool. Machine learning specialists use a whole different set of ideas than robotic control specialists, for instance. The logical inference engines or expert systems that used to be the bread-and-butter of AI departments are now flippantly referred to as "GOFAI" ("Good Old-Fashioned AI") to distinguish them from the shiny new approaches that get students hired into Google. I think one could frame the question like this: What do you want to learn; logic, statistics, and/or cognitive science? For each there is a branch (or several branches) of "AI" that revolve around it, and have only a limited amount to do with the others.

pouta 10y ago
I am also struggling with deciding on what field to dive into. I really don't want to ask but can you give me some insights based on what I am looking for?
- TeMPOraL 10y ago
  What do you want to build? Do you have a system you're excited about? For instance, a virtual assistant/personality? A robot that can move around and learn like an animal? Something else? Answering this will definitely help identify the proper field(s) to look at.