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I have to simulate Neural Network in CUDA but I don't know much about this technology. Where should I start?
These questions aren't well-suited on SO, but I'm posting a few resources you might start with anyway
The "Learning CUDA" section of the NVIDIA website is the best spot on resources and tutorials to get you up to speed: https://developer.nvidia.com/how-to-cuda-c-cpp
CUDA by Example(beginner) and Programming Massively Parallel Processors (intermediate) are also two good resources targeted to novices and intermediate CUDA users. There are lots more on the subject in the "Books" section of the NVIDIA website.
Once you got familiar with the basics of CUDA I recommend studying the CUDA SDK samples.
Regarding AI topics (I suppose "Network" means "Neural Network") there are some academic papers and lectures you might start with, but those would prove useless if you don't have a CUDA background first.
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A friend of mine created a 16-bit stack based CPU on an fpga and I've been developing an ANSI C 89 compiler for it. He needs a file system and networking so he's now working on an os for it based on minix, but he's doing it on a pascal based compiler he wrote and it's going to take a while. Ideally we would like to be able to use our C compiler to build the minix source in it's entirety but I am a few weeks away from finishing the compiler and I'm sure it will be a while before it's up to the task. I would like to know if anyone has had any success porting minix to a custom CPU and what we should look out for, or if there are any alternative open source os's that are lightweight that we should be considering. Keep in mind that this is a custom c compiler so I don't offer any of gcc's toolchain bells and whistles.
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My task is to conduct a study on artificial intelligence that answer maybe just 20 questions.
I tried to look for a study and term papers on google and i'm having a hard time to find some related literature to start my study.
My knowledge on artificial intelligence is small.
Where can i find some related literature for the said study? My goal is just to make an AI that answer question related to processes that our school conduct. Please be easy on me. I know that i'm a noob.
Read this : https://en.wikipedia.org/wiki/Natural_language_processing
And build from there. You can use Google Scholar to find actual scientific papers once you've found the keywords you want.
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What are the best tutorials you found so far about Neural and Bayesian networks?
I don't need books but, instead, some basic introduction to understand and use related libraries.
These tutorials from Andrew Moore are a very good -- and not too heavy -- introduction to machine learning topics: http://www.autonlab.org/tutorials/. There is a tutorial for both neural networks and Bayesian networks.
My text for this sort of stuff in school was 'Pattern Classification' by Duda, Hart, and Stork.
There is an implementation of bayesian networks called JavaBayes, I consider a good software, read the doicumentation provided at the site.
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Are there any C-language static analysers out there that create graphical diagrams of the data structures in a body of C code?
I'm thinking along the lines of the data displays in the DDD (Data Display Debugger) but that work from static analysis of the source code.
Any diagram notation welcome (UML etc.) and it can run on any platform.
Thanks.
Take a look at Enterprise Architect. It is fairly inexpensive and does just this and comes with a 30 day free trial. And no, I don't work for them :) .
Understand is also a great tool for diagraming existing C / C++ code, to help you understand it.
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Hi I'd like to read good tutorials on setjmp/longjmp in C. It'd be better if there're examples which are real rather than artificial.
Thanks.
It's not really a tutorial as such, but the libpng documentation describes how the library uses setjmp/longjmp to do error handling.
The book "C interfaces and implementation" explains the concept well and implements a usable "exception" simulation in C using these constructs. The code for it (chapter 4) is freely available online here.
Edit: also see this SO thread
Then you should read Advanced Programming in the UNIX(R) Environment (2nd Edition) Here's the sample you're looking for http://my.safaribooksonline.com/0201433079/ch10lev1sec15 (just a preview)