"SIRI"

I am very impressed by apple Inc. for develpoing such a versatile voice synthesizer they have developed ("siri"). Though i don't own an iphone to test it out. I did make use of all the fun people were making with it on the youtube. It doesn't simply listen to what we say and executes the command. But it makes a great effort to really understand what we mean. Truely awesome innovation. I am really very eager to know the complete mechanism behind the making of siri. Moreover, as most of us know apple always makes the most feasible innovations in there category, but how do they really do that is another curios topic. Let's see what they have got for us in the near future. Wondering how they do that. Knowing how they do it rapidly increases my wondering:) Like i said. Real innovation.

Why don't you understand????????

Thought that only girlfriends would ask these question??? The whole reason for the existing of science is questioning. Similarly an inference engine needs lots of questioning codes and self iteration before judging on the probability of an event. Hence my quest is to find out which language provides the best questioning constructs.

From the scrap

Now. to have the best technicality in artificial intelligence, one must have strong algorithms. So, my first specialization in data structures begin:) let me continue this while uploading the hints. Single linked list, double linked list, stack and queue. Array implementation, linked list implementation and cursor implementation of all these....

Natural Language processing, my first venture in artificial intelligence. It's not exactly language. When a microphone senses something. the audio signal is obviously converted into digital signal. Simple right. Not exactly. the huge problem in it is that the region where two signals overlap it is said to initiate a certain noise, which hinders the clear understanding. Though these algorithms are efficiently used in the modern versions of smart phones. It just has a 46% feasibility in making any humanoid or expert systems to make them respond. Any misunderstanding is obsolete

NLP