are non-square circuits on the edge of wafers used for anything? Computer Science

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• are non-square circuits on the edge of wafers used for anything?
• Project Title required , Can be in research field
• How internet works?
• The most difficult programming language to learn and why
• Guide to learn machine learning
• Top Most Reasons to do Data Science with R
• What uses of mathematical logic in programming language theory?
• Beyond Proof-of-Work
• How To Become a Certified Data Scientist at Harvard University for FREE
• Can someone explain selection sort with arrays to me
• [R] Google Introduces NLP Model Understanding Tool
• Hi I'm a newbie and want to learn more about computers, do you guys have any book that I could read about how a computer works that you would recommend?
• Richard Hamming - The Art of Doing Science and Engineering: Learning to Learn

are non-square circuits on the edge of wafers used for anything? Posted: 17 Aug 2020 11:03 AM PDT submitted by /u/mooooooon [link] [comments]

Project Title required , Can be in research field Posted: 18 Aug 2020 04:00 AM PDT I am a Third year Computer science student and I need some projects idea which can be implemented on procedural languages such as C and C++ . I have knowledge on Data Algorithms and Analysis and looking preferably for a research idea which can be implemented on these languages. I have a good networking base and command over linux. Suggest some ideas please !! submitted by /u/Divyaansh313 [link] [comments]

How internet works? Posted: 18 Aug 2020 04:09 AM PDT submitted by /u/Techbiason [link] [comments]

The most difficult programming language to learn and why Posted: 17 Aug 2020 10:21 PM PDT submitted by /u/codeavail_expert [link] [comments]

Guide to learn machine learning Posted: 17 Aug 2020 09:46 PM PDT submitted by /u/codeavail_expert [link] [comments]

Top Most Reasons to do Data Science with R Posted: 18 Aug 2020 01:20 AM PDT submitted by /u/Matlabguru [link] [comments]

What uses of mathematical logic in programming language theory? Posted: 17 Aug 2020 04:24 PM PDT In programming language theory, I have seen uses of lambda calculus and category theory, although I don't hold a clear understanding. Does programming language theory use mathematical logic, and to what degree, compared to lambda calculus and category theory? What kinds of logic systems are used or important for programming language theory? Thanks. submitted by /u/timlee126 [link] [comments]

Beyond Proof-of-Work Posted: 17 Aug 2020 03:31 PM PDT This is a recent talk I gave titled "Resource-burning for Permissionless Systems": https://www.youtube.com/watch?v=8QRCXwbwzQE&t=1486s "Proof-of-work puzzles and CAPTCHAS consume enormous amounts of energy and time. These techniques are examples of resource burning: verifiable consumption of resources solely to convey information. Can these costs be eliminated? It seems unlikely since resource burning shares similarities with "money burning" and "costly signaling", which are foundational to game theory, biology, and economics. Can these costs be reduced? Yes, research shows we can significantly lower the asymptotic costs of resource burning in many different settings. In this paper, we survey the literature on resource burning; take positions based on predictions of how the tool is likely to evolve; and propose several open problems targeted at the theoretical distributed computing research community." "It's not about money, it's about sending a message." - The Joker submitted by /u/jaredsaia [link] [comments]

How To Become a Certified Data Scientist at Harvard University for FREE Posted: 17 Aug 2020 02:21 PM PDT submitted by /u/argothecat [link] [comments]

Can someone explain selection sort with arrays to me Posted: 17 Aug 2020 01:16 PM PDT Just started programming a month ago submitted by /u/Lakeroad1 [link] [comments]

[R] Google Introduces NLP Model Understanding Tool Posted: 17 Aug 2020 12:53 PM PDT Artificial intelligence does a lot of things extremely well, but just how it does these things often remains unclear — shrouded by what's come to be known as the "black box" problem. This is particularly true in NLP, where researchers can waste a lot of time trying to figure out what went wrong when their models don't run as well as expected. Last week, Google Research released a paper tackling this issue with a new open-source analytic platform: the Language Interpretability Tool (LIT). Here is a quick read: Google Introduces NLP Model Understanding Tool The paper The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models is on arXiv. The tool has been open-sourced on Github. submitted by /u/Yuqing7 [link] [comments]

Hi I'm a newbie and want to learn more about computers, do you guys have any book that I could read about how a computer works that you would recommend? Posted: 17 Aug 2020 08:14 AM PDT submitted by /u/The__Xenomorph [link] [comments]

Richard Hamming - The Art of Doing Science and Engineering: Learning to Learn Posted: 16 Aug 2020 11:07 AM PDT submitted by /u/stevenxdavis [link] [comments]

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