CompSci Weekend SuperThread (July 31, 2020) Computer Science |
- CompSci Weekend SuperThread (July 31, 2020)
- Book recommendation
- State of the art in instance segmentation: (Instance segmentation aims to classify each pixel in an image into an object category)
- JavaScript: Array Basics, Sorting and Manipulation
- How does one get research experience while in undergrad?
- Is a simple steganography project good to mention in resume???
- The best way to Learn Artificial Intelligence for a Beginner
- SOLID – Principles for Maintainable OO Code
- End to End Testing
- A swarm cloud ?
- Can you build a Turing complete model using only infinitely many NOR gates?
- 10 Best Prototyping Tools for App Developers
- Help on a project
- How does one get research experience while in undergrad?
- Network Connector
- Regarding a particular autocorrect suggestion MS word made. I'm guessing they use a trie (compressed trie is a better guess) but I don't get how they know where to add spaces between a string to make it correct.
- Clustering Massive Datasets
- Need help with python GUI?
- If you like coding the you will love our coding discord community where we help each other and learn.
CompSci Weekend SuperThread (July 31, 2020) Posted: 30 Jul 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
Caveats
[link] [comments] |
Posted: 31 Jul 2020 12:50 AM PDT Which academic books (that provide foundation) every computer science student should read regardless of their area of specialization? [link] [comments] |
Posted: 30 Jul 2020 02:51 PM PDT |
JavaScript: Array Basics, Sorting and Manipulation Posted: 31 Jul 2020 02:39 AM PDT |
How does one get research experience while in undergrad? Posted: 30 Jul 2020 12:55 PM PDT Well a couple of things about be: * I am currently in my final year of undergrad studies in computer science. * I am from ASIA * I am certain that I want to further study and learn topics in computer science (masters or PHD) So I am interested in research. But the thing is I don't really know how or where to start. And I am little confused about what constitutes as a research in computer science. If a person comes up with an algorithm that improves upon the current best, does this count as research? [link] [comments] |
Is a simple steganography project good to mention in resume??? Posted: 30 Jul 2020 01:49 PM PDT The project hides a text inside a image, further you can also hide an image inside other image... I have only 2 projects, this and other a news app using flutter.. please help me gaiss [link] [comments] |
The best way to Learn Artificial Intelligence for a Beginner Posted: 30 Jul 2020 11:50 PM PDT |
SOLID – Principles for Maintainable OO Code Posted: 31 Jul 2020 02:12 AM PDT |
Posted: 31 Jul 2020 01:54 AM PDT |
Posted: 30 Jul 2020 09:38 AM PDT I have been fantasizing about this idea on and off for about a year now, no actual intention to implement it and tbh no idea if it's even novel or potentially useful It's essentially Uber for Computing, the basic observation is that a lot of computing power today - smartphones and, less commonly now but maybe not in the future, smartwatches and smartglasses and smart wedding rings and etc - is lying idle most of the time. Even when when the owner is using it, most smartphones today is ridiculously overpowered and there is no way normal usage can saturate all those sweet puddles of cpu and ram. So my idea, call it the swarm cloud, is a general purpose framework for sharing workloads across arbitrary number of compute nodes. If some companies already have cloud gaming (and had it for quite a while before its popularity moment) , what's really preventing you from treating other people's idle smartphones and other wearable as very numerous and geographically dense compute nodes that together form a very distributed "GPU" ? Gaming is the example that most readily demonstrate the idea because its a very intensive application and stresses any computing platform to its limits but you can substitute your favorite smartphones-arent-powerful-enough-to-run-that application and it will still work if it's parallel enough. (And maybe not even that, there is no need to make the network consist of more than two computers. If a serial application requires 8 gb of ram, and my phone has only 2, then you can still find an 8gb ram idle smartphone somewhere in the available pool and hook it to mine in a terminal-mainframe configuration and that would still be the idea to some extent) There are countless details I don't have the knowledge to articulate, like what is the reward-payment mechanism for giving and taking from the pool? What is the infrastructure that allows pumping and retrieving workloads across the network? would it be local like Bluetooth or Shareit or fully global like 5G ? How does the scheduling master react to a compute node suddenly refusing/downgrading its previous available status, when e.g somebody starts playing a demanding application on their phone and now the compute isn't available to the pool ? How will the basic scheduling and dispatching algorithms differ from things we already had like map reduce and Hadoop ? what about free-loaders and other bad actor risks ? I would like the any kind of input [link] [comments] |
Can you build a Turing complete model using only infinitely many NOR gates? Posted: 30 Jul 2020 11:05 PM PDT I know NOR can also act as memory other than the NOR boolean function. So my question is can you, if you can how can you prove that you can build a Turing complete computer using only infinitely many NOR gates? How would you prove/disprove it? Also, can you for example use a Turing complete computer's Verilog code and tell the synthesizer to only use NOR gates? [link] [comments] |
10 Best Prototyping Tools for App Developers Posted: 31 Jul 2020 02:06 AM PDT |
Posted: 30 Jul 2020 03:24 PM PDT Recently (with the aid of the internet) I coded a small game of Rock Paper Scissors,using python, just to jumpstart what I'd like to do on my free time. However, would there be anyway to instead it be a screen of text, make it look visually appealing? Make it look like a game I guess. I also like graphic design and I guess putting the two together would be a pretty awesome feat and cool project for me starting out. I appreciate all the tips, thanks [link] [comments] |
How does one get research experience while in undergrad? Posted: 30 Jul 2020 12:54 PM PDT Well a couple of things about be: * I am currently in my final year of undergrad studies in computer science. * I am from ASIA * I am certain that I want to further study and learn topics in computer science (masters or PHD) So I am interested in research. But the thing is I don't really know how or where to start. And I am little confused about what constitutes as a research in computer science. If a person comes up with an algorithm that improves upon the current best, does this count as research? [link] [comments] |
Posted: 31 Jul 2020 02:11 AM PDT |
Posted: 30 Jul 2020 03:09 PM PDT Example: input- "isempty" Suggestion- "is empty" How did it figure out where to add a space in the middle of the string? Does it check for all possible continuous substrings and then match them with an existing trie to check which are valid suggestions? What would be the time complexity or in general how heavy is this process? [link] [comments] |
Posted: 30 Jul 2020 04:27 PM PDT Though arguably not necessary, I generalized a clustering algorithm I've been working on in thermodynamics to N-dimensions, and it is preposterously efficient: The attached example takes a dataset of 5 million, 10-dimensional vectors, and clusters them in about 1.17 seconds, with absolutely no errors. The example is a simple two class dataset, but nonetheless, the efficiency is simply remarkable, and completely eclipses anything I've ever heard of, even my own work. Code here: https://derivativedribble.wordpress.com/2020/07/30/n-dimensional-mass-clustering/ [link] [comments] |
Posted: 30 Jul 2020 05:30 PM PDT |
Posted: 30 Jul 2020 09:11 AM PDT |
You are subscribed to email updates from Computer Science: Theory and Application. To stop receiving these emails, you may unsubscribe now. | Email delivery powered by Google |
Google, 1600 Amphitheatre Parkway, Mountain View, CA 94043, United States |
No comments:
Post a Comment