• Breaking News

    Friday, October 30, 2020

    Home Unlabelled CompSci Weekend SuperThread (October 30, 2020) Computer Science

    CompSci Weekend SuperThread (October 30, 2020) Computer Science

    October 30, 2020

    CompSci Weekend SuperThread (October 30, 2020) Computer Science

    CompSci Weekend SuperThread (October 30, 2020)

    Posted: 29 Oct 2020 06:04 PM PDT

    /r/compsci strives to be the best online community for computer scientists. We moderate posts to keep things on topic.

    This Weekend SuperThread provides a discussion area for posts that might be off-topic normally. Anything Goes: post your questions, ideas, requests for help, musings, or whatever comes to mind as comments in this thread.

    Pointers

    • If you're looking to answer questions, sort by new comments.
    • If you're looking for answers, sort by top comment.
    • Upvote a question you've answered for visibility.
    • Downvoting is discouraged. Save it for discourteous content only.

    Caveats

    • It's not truly "Anything Goes". Please follow Reddiquette and use common sense.
    • Homework help questions are discouraged.
    submitted by /u/AutoModerator
    [link] [comments]

    [R] DeepMind Introduces Algorithms for Causal Reasoning in Probability Trees

    Posted: 29 Oct 2020 12:49 PM PDT

    Probability trees may have been around for decades, but they have received little attention from the AI and ML community. Until now. "Probability trees are one of the simplest models of causal generative processes," explains the new DeepMind paper Algorithms for Causal Reasoning in Probability Trees, which the authors say is the first to propose concrete algorithms for causal reasoning in discrete probability trees.

    Here is a quick read: DeepMind Introduces Algorithms for Causal Reasoning in Probability Trees

    The paper Algorithms for Causal Reasoning in Probability Trees is on arXiv, and an interactive tutorial is available on GitHub.

    submitted by /u/Yuqing7
    [link] [comments]

    Microsoft/MITRE group declares war on machine learning vulnerabilities with Adversarial ML Threat Matrix

    Posted: 29 Oct 2020 11:30 AM PDT

    Github Student Developer Pack: Get Free Access to MS Azure, AWS Educate, DataDog, MongoDB, and more

    Posted: 30 Oct 2020 04:00 AM PDT

    I asked AI expert friends of mine working at DeepMind, MILA, OpenAI and more their advice to those just starting out in AI or thinking of pursuing a career in the field. Thoughts? What would you add?

    Posted: 29 Oct 2020 10:16 AM PDT

    Possibly stupid question about satisfiability

    Posted: 29 Oct 2020 09:07 AM PDT

    If I have a boolean CNF formula \phi, I can take a variable x, set it to true, remove any clause containing x, and remove ¬x from any clause containing it, and get a new formula \phi_x^1. I can do the opposite, set x false, remove any clause containing ¬x and remove x from all clauses, and obtain \phi_x^0. \phi is satisfiable if and only if at least one of \phi_x^0, \phi_x^1 is satisfiable. Now obviously this does not yield an efficient algorithm, but as long as I do it at most log N times, I am allowed to do this at some point of an efficient algorithm.

    Using the above, I can "get rid" of some small subsets of the variables that I don't like (for whatever reason)

    My question is: is there a similar thing I can do to get rid of a small set of clauses?

    submitted by /u/l_lecrup
    [link] [comments]

    sorting algorithms visualization

    Posted: 29 Oct 2020 04:50 PM PDT

    Hi, I would really appreciate if any of you can help me answer this question, I've been thinking about it but I don't think I quite understand because I'm also a bit confused about what the thin and thick bars represent. I'd be very thankful for any help :)

    How could this video be skewed to show something that is incorrect?

    The Video: https://www.youtube.com/watch?v=kPRA0W1kECg

    submitted by /u/28sizzlinbandit
    [link] [comments]

    [Discussion/Question] Can AIs Evolve Like Living Organisms?

    Posted: 29 Oct 2020 02:55 PM PDT

    I was reading an article on genetic algorithms and it had me wonder:

    ​

    • What are the current pitfalls of GAs?
    • If evolution is capable of creating as complex creatures as we see on Earth, how come this does not also happen in AI?

    ​

    What I don't understand is why this effectiveness of GAs doesn't translate as well into AIs as it does to living organisms. :)

    Any thoughts?

    submitted by /u/bgroovyb
    [link] [comments]

    How to version data structures

    Posted: 29 Oct 2020 08:09 AM PDT

    At many different jobs, I've had to deal with old data laying around without any documentation about its format. Are there any tools, specs, or best practices for handling this?

    I don't have a fully formed idea for what I need, but the problem I'm trying to avoid is someone adds a new integer to the data format, without specifying that older serialized versions of the data will be lacking this field. Perhaps all that's needed is a version control plug-in that verifies changes to a data structure or spec, requiring that the new field be added as "Optional[int]" rather than just "int", or something like that.

    Can anyone point me in the right direction? Surely there must be some best practices in this area. Thanks!

    submitted by /u/axlrosen
    [link] [comments]

    Language Books

    Posted: 29 Oct 2020 11:44 AM PDT

    Anyone have any recommendations on books about learning languages?

    submitted by /u/EdTheSped-10
    [link] [comments]

    Does event handler face the same safety issue as Linux's signal handler?

    Posted: 29 Oct 2020 05:39 AM PDT
    Read more
    at

    No comments:

    Post a Comment