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Ask HN: Which are good computer science problems to work on right now?

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Ask HN: Which are good computer science problems to work on right now?

#1
I'm a CS undergrad and to finish my graduation I have to produce a term paper.

Considering that I have one year to work on it, it can't be something huge, but I would like to work on something which would be useful to someone else and not only a boring paper about a very specific and almost useless subject.

As I have a web development background (Ruby on Rails, Node, Redis...), anything in this area would be easier. I've tried to revise my workflow in order to find some gap but, probably due to a lack of experience (and an awesome community), everything seems to be created already.

Do you have any suggestions about problems that I could solve with the skills that I have? A very personal itch also counts!

Note: The final software must be open sourced!

Re: Ask HN: Which are good computer science problems to work on right now?

#4
post #3

Decoupling business logic from web frameworks might be an interesting architectural problem that could use better tooling. Here's Jim Weirich going about it manually in Rails: https://m.youtube.com/watch?v=tg5RFeSfBM4

A genuine question... Wouldn't decoupled business logic generally fall under 'workflow' systems though?

But, unless you refer specifically to embedding algorithm in the code, I would assume the language / platform selection would matter.

Re: Ask HN: Which are good computer science problems to work on right now?

#5
* User interfaces for VR helmets.

* client/server web frameworks based on BigPipe-like (Facebook) architecture

* turning real world problems into MMOGs in order to crowdsource solutions

* peer-to-peer web infrastructure over multiple networks/communication channels (to counter surveillance, ISP filtering, natural disasters...)

Re: Ask HN: Which are good computer science problems to work on right now?

#8
In my opinion, automatic summarization by abstraction. There are lots of automatic summarization algorithm that does extraction like TextTeaser (https://github.com/MojoJolo/textteaser). I think they do the job well but it doesn't have a realistic feel in it. To achieve it, I think automatic summarization by abstraction is the way to go. It almost mimics how humans summarized text. But I think there is still no algorithm that can really perform abstraction well.

I'm looking to try it in the near future. With a good training data, I'm looking into using genetic algorithm eventually evolving the text into an almost human summary. I'm excited for this!

Re: Ask HN: Which are good computer science problems to work on right now?

#9
Speech Recognition, it's a hard problem to solve - but maybe with your time you can offer some interesting solutions. Text IMO is very well covered part of our field, but speech is still very much lacking. Even image recognition has more attention than speech recognition IMO.

Re: Ask HN: Which are good computer science problems to work on right now?

#10

* User interfaces for VR helmets. * client/server web frameworks based on BigPipe-like (Facebook) architecture * turning real world problems into MMOGs in order to crowdsource solutions * peer-to-peer web infrastructure over multiple networks/communication channels (to counter surveillance, ISP filtering, natural disasters...)

I like the idea about real world problems. Can you think of any examples?
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