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    Microsoft is Open-Sourcing Quantum Computing Development Tools Computer Science

    May 08, 2019

    Microsoft is Open-Sourcing Quantum Computing Development Tools Computer Science

    Microsoft is Open-Sourcing Quantum Computing Development Tools

    Posted: 07 May 2019 04:26 AM PDT

    A novel data-compression technique for faster computer programs

    Posted: 07 May 2019 07:34 PM PDT

    Retaking a class much later?

    Posted: 07 May 2019 06:12 PM PDT

    I am a CS undergrad. I was severely depressed in my first year, and screwed up a lot of courses. A C in CS2 and another in Discrete. Failed Calc 2 and a Software Engineering class. Next year, came back stronger and got an A in Calc 2 and a B+ in SE(also, is B+ an okay grade?) But the C's have stayed because I did not retake the classes I had passed. Going into my 3rd year, I'm wondering if they would hamper my grad school chances. But suppose I get an A this time in Discrete, it would not be that impressive given I'm in my junior year. I'm very confused about whether I should get rid of the C's at all. Is it worth the time?

    submitted by /u/smellslikekeenspirit
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    Floating point error question

    Posted: 07 May 2019 12:25 PM PDT

    I'm trying to implement a central-difference finite element method for approximating partial derivatives of multi-variable functions. Which of the following delivers the most accurate result?

    > dx (and dy, dz, etc) = machine epsilon: (f(x+eps) – f(x-eps)) / (2*eps)

    > dx = some other small value that's some order of magnitude larger than machine epsilon: e.g. (f(x+1e-12) – f(x–1e-12)) / (2e-12)

    > having dx instead be a small percentage increase/decrease of x, like (f(x*1.000001) – f(x*0.999999)) / (x*0.000002)

    I'm asking because I'm worried 1) that the first and second methods use too small of values that end up getting "swallowed" by the mantissa of x, and 2) that the third method will eventually (for large abs(x)) use too large of values that end up not giving decent enough of an approximation.

    Any advice would be appreciated!

    submitted by /u/DatBoi_BP
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    I need ideas for final year project in Computer Science

    Posted: 07 May 2019 05:20 AM PDT

    Hey, I am in the last year of computer science college and I have 2 months left to finish my final year project.

    I need to find an idea for a project that I can make it in 2-3 weeks and I can't seem to find something to stick with.

    ​

    Until now I have experience with the following languages: C, C++, Java, Python

    (I would choose python because it's easy to make a GUI with Tkinter)

    I have some experience with the following: algorithms, databases, OOP, genetic algorithms, map reduce with hadoop, docker and some APIs from Google Maps and Yelp.

    ​

    I am thinking about making:

    • an emotion recognition app
    • an age estimation app
    • an web app which uses some API (app that is designed in python then put in a docker container then hosted in cloud)
    • something in the big data domain with hadoop, something like statistics

    ​

    ​

    As it goes to the web app which would use APIs I can't find an idea that isn't too simple.

    As it goes to the big data domain I really don't know where to start or what kind of project I could make.

    ​

    I am really open to any ideas. I want to find something interesting for me so I don't get bored.

    I really need some guidance now and I would appreciate any help.

    Sorry for grammar.

    submitted by /u/cicada5
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    Enlarging Labeled Handwritten Character Datasets With Capsule Networks

    Posted: 07 May 2019 12:54 PM PDT

    Thesis (investigatory) Ideas for CS (math oriented side preferably)

    Posted: 07 May 2019 11:01 AM PDT

    Hey guys! I'm graduating next year in March and I should start my thesis on August. I've been thinking about a couple topics, but I'm really unsure about the viability of them.

    My main affinity in the field is the more mathematical side of CS, Cryptography and Security. Infrastructure is also something I enjoy (network infra, security infra, etc).

    A couple topics I've been pondering about are:
    Zero Knowledge Proofs (ZKP) for verification and authorization within organizations. (Virtually anything with ZKP gets +100 points).
    Internet of Things applications in health/water purification/other pro-human things.

    Artificial intelligence (deep learning) in some sort of videogame / skill / driving? / anything that is relatively unexplored.

    Something about the "Layer 8 security errors" Layer 8 referring to OSI's 7 Layers, layer 8 being human error.

    ​

    If you have any idea that sprung to your mind while reading that, SHOOT!
    If you believe you have another thing that might catch my mind, go ahead! I'm open to suggestions.

    PS: I do have an assessor but atm he is in Germany and won't be back for a while. He suggested me to send him a couple ideas and then we can prune them, so this is the previous step to that.

    Cheers!

    submitted by /u/ClokkeHL
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    How to Find the Shortest Palindrome Possible

    Posted: 07 May 2019 08:05 AM PDT
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