CompSci Weekend SuperThread (November 06, 2020) Computer Science

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• CompSci Weekend SuperThread (November 06, 2020)
• "Hardware lottery describes when a research idea wins because it is suited to the available software and hardware and not because the idea is superior to alternative research directions. Examples from early computer science history illustrate how hardware lotteries can delay research progress..."
• TeXmacs 1.99.14 released. Take a look at this CS research paper exported to html.
• How Turing-Completeness Prevents Automatic Parallelization

CompSci Weekend SuperThread (November 06, 2020) Posted: 05 Nov 2020 05:04 PM PST /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]

"Hardware lottery describes when a research idea wins because it is suited to the available software and hardware and not because the idea is superior to alternative research directions. Examples from early computer science history illustrate how hardware lotteries can delay research progress..." Posted: 06 Nov 2020 01:16 AM PST In a recent discussion, Sara Hooker from Google Brain discussed her Hardware Lottery paper and a few other related issues in machine learning research. Here are some interesting parts from the conversation: Elevator pitch on hardware lottery From GPU to TPU What does a model forget as you prune Cultural divide in ML (Max Welling vs. Rich Sutton) Characterizing & mitigating bias in compact models Are sparse networks more interpretable submitted by /u/ccrbltscm [link] [comments]

TeXmacs 1.99.14 released. Take a look at this CS research paper exported to html. Posted: 05 Nov 2020 05:15 AM PST submitted by /u/amichail [link] [comments]

How Turing-Completeness Prevents Automatic Parallelization Posted: 05 Nov 2020 11:05 AM PST submitted by /u/g0_g6t_1t [link] [comments]

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