Artificial Super Intelligence

James S. Kim - Google+ This is the time for me to focus on what I need to do. From the last Saturday we enjoy national holidays. Now this is time to prepare for proper working after not short holidays. I'll make some Python classes which will help to make my new model. My new model will be developed based on the analyzed scientific image. I have thought that the parameters must be extracted first to generate a new model. Now, I realize that both tasks must perform simultaneously. Now I build a simple model and a extract parameters and compare between the modeling results with the extracted parameters and the image value. In short, my model will show similar image using the extracted parameters and the modeled image and the real image will be compared. The comparison can be done by second order statistics such as mean square difference between the two results with respect to the extracted parameters. Moreover, the extracted parameters can be optimized in the d

I'm really wondering whether computational science is computing or science. I think that 4th generation science will be similar to the case of recent engineering, Engineering has been enhanced greatly recently because of IT power. Like it, science can be much enhanced by the use of IT power. is there any kindness programmer who can talk me the difference between Python and Ruby. I think Python is more appropriate for scientific computation while Ruby is more close to web applications. As difference between westerns and orientals, science and management are important for each areas more than the other, respectively.

Currently, I started to use iPython command line, which is so convenient and much compatible with the commercial numerical simulation tool.  Since the libraries can be tested and used in the command line, iPython can perform better results than any other methods including compiled language systems.  Each function and each class can be tested online and instantly. We can feel the functions and the classes by the directly use in the command line. Our mind becomes to be emotionally familiar with generated codes. Our brains, also, will remembers each generated codes. Therefore, the probability to use the same codes later becomes much higher. Whenever command line interactive systems such as iPython are used, there are usually two problems. First, meaning function naming is not easy for each revised functions. Second, the number of the required input parameters for newly generated functions are too many, which results in not to be useful in command line keywords. Therefore, the interactiv