fredreload

Looks good, exactly what I want, but I dunno how to use its database. Is there one where it goes in text? I might have to import it into my Oracle database later using Python. It goes word:play, type:verb, meaning:to do something fun. Keep in mind word and type cannot be null, so there is always a word and always one type that goes with it. P.S I would map every word to a number based on its type and has a index for it. For instance, "type (noun) = 1", "type(verb) = 2". And its explanation is a solid rule that incorporates other words also as numbers. "type (noun): explain a variety for an object". That would be a rule set by the dictionary as "explain a variety of object" and I would further looks into "explain(verb)=3", "a(compound word? i dunno)=4" and map to its subsequent dictionary rule "explain(verb):tries to come up some meaning for the object". These numbers could then be used to analyze a paragraph. example: I (try to come up some meaning for the object) (on a variety of objects). machine interpretation: I explain type. On reverse, you could issue a command: Machine please explain type machine interpretation: I (try to come up some meaning for the object) (on a variety of objects). If you train the machine with the article.

Hey Strange, I've decided that I'll start with a dictionary. Do you happen to know a dictionary with a list of words in excel or text or database or anything that I can download? Thanks P.S By the way it will specify all forms, noun, verb, adjective, etc. P.S And don't have a loop back like I is an anonym for myself, I want like a description, an entity which suggest the subject to be yourself or something like that

Ya well, I thought n-gram is a good way to be applied to an AI, based on the discussion it turns out not to be. So I am going with thought bubbles and neural network now

Ya, that sounds like you gave up on the whole AI thing

Agreed, but now I am wondering how to generate a neural network based on text mining and create thought patterns https://machinelearnings.co/text-classification-using-neural-networks-f5cd7b8765c6 Forgive me this is a new field for me, and I'm tired today = =

Ya, I am attempting to analyze all sentence based on its frequencies. But what would that get me? For instance if I search "machine" it would return "a tool" frequency "100", "smart apparatus" frequency "99" etc. And that only works out if "machine" is in the sentence, not "it", not "this", or "that". After thinking about this, I just sort of give up on the whole idea. We might need an n-gram on the entire paragraph or article of "machine". That might work. n-gram for an entire article of the same class, but I don't think any computer can run an 100-gram or more and only categorized by titles. So how do you program an AI. Well, you have to train it. Each time it answers something correctly, give it a +1, sort of like a fitness on words. And with words you can mess around with its thought pattern (binary tree?neural network?). Anyway, this is as far as I got. You'll have to ask Watson from IBM on this one.

Ya well, you guys are right. I just need a text dump of science articles and they need to be repeating. For instance I expect 100 articles talking about the same feature for lizard. I tried the Wikipedia dump file, but it is non repeating. So if any of you know of a huge text dump of science articles let me know. Else I'll have to scrape the ips

Alright I've managed to use urllib2 with Python to traverse from 0.0.0.0 to 256.256.256.256, but this does not go to the sub web pages ie. 0.0.0.0/subfolder/. So I would like to know if there's a tree traversal into all the contents listed by a IP. Or does urllib2 already does that?

Alright, so here is something useful. After playing with n-gram for text analysis I came up with an idea for AI. How does n-gram works? For instance, I can type: "I drink a Coca Cola in my room today." You run an n-gram for 2. "I drink" no meaning. "drink a" no meaning. "a Coca" no meaning. "Coca Cola" has meaning. And it goes up with all possible combinations in ascending order "I Coca", "I Cola", "I in" etc. Collecting all web pages and texts you'll probably sum up the frequency for Coca Cola to be 100. Meaning Coca cola has a meaning and all words associated with it. And therefore when you type I drink a Coca Cola, you would get a list in the database saying "in the room", "in the zoo", "is cold", "is hot", based on the frequencies. And the one with the highest frequencies, usually make sense. And there you have a huge database at your command. I used the algorithm provided here. And used it on the text dump from Wikipedia. Pure text, parse it to sentences, and named it "AI.txt". And it generated a "B.txt" file which I tried to shove it into the database. Then I find out that most Wikipedia information only shows up once, not the best solution for Frequency learning. So I've decided to scrape all web pages on the net, with the loop over IP addresses. If you know how to do that do help me out. Btw the size after generated from a 3MB text file is 3.9GB, and only on 3 words. So.........be prepared to have a huge database. If you have no idea what this is just ignore it. Else I'd like to hear your feedback and what you got, thanks. P.S No this is not a homework assignment, just something I made out of free time AI2.py STEXT.py

So I've played around with web crawlers before and Selenium. I am currently looking for a way to download web pages to collect texts. I am using python and is thinking of scraping through IPS. Which I believe ranges from 0.0.0.0 to 999.999.999.999? I think most people have port 80 open? So I would have a loop like 0.0.0.0 to 999.999.999.999 and just use urllib to download the webpages. Let me know if this is correct or if there is a better way, thanks

Ya that is true, it might needs some kind of validation, you might need to program it with the seven deadly sins. You are right, my thoughts is going everywhere. The electromagnetic radiation put me in stasis

You got me, my main focus is still on modifying gene expression with electromagnetic radiation. Imagine this directed microwave that would alter your cell's transcription factors to phosphorylate and induce a partial reprogramming to renew itself. 1. You will need to find the correct wavelength of electromagnetic radiation that would induce phosphorylation. 2. You will need to get molecular detail to locate the transcription factors needed for phosphorylation 3. The transcription factors will make the cell's gene expression to change to a previous year (age 30->age 29). So you got up to 2600 transcription factors in the human genome according to Wikipedia, and you play around with all combinations until the gene expression successfully shifted to the previous state. If all that the four Yamanaka factors are required for a successfully shift to a previous state, awesome. But based on SALK's research, the mouse still dies after testing it for serveral times. I am not sure if they mean that the mouse with a genetic defect on premature aging is no longer alive or that the mouse without the defect is still alive as of now. Either way it is mentioned that a successful way to trigger the transcription factors inside the cell is required. So here it is, the electromagnetic radiation should be possible to activate the transcription factors, or the alternative would be cell signaling molecules. It is to be debated Right hmm, I thought about it too. You are training the machine based on moving instances. You see the part where they throw boxes at the machine with weight until the machine falls? Imagine the boxes to be moving cars and that each time the machine gets hit by a car and knocked down it resets itself, eventually you'll get a machine that cannot be knocked down by cars or that it can successfully evade the cars. Or you can train the robot to protect the person from cars. Now if you set the robot to update its own circuitry, so that it makes itself smarter, faster, and better. This is the realm I dare not venture to. You cannot set the computer simulation to evolve like humans do, because we have different parameters, gravity, and space time. However a self adapting machine in the real world knows no bounds, think of the horror movie screamer.

This is more what I am looking for and yes I am ready to train the algorithm based on real world physics. The idea about artificial intelligence is that it does not possess a consciousness and that is a good thing, because no consciousness should be trained with such a task. If you let the evolution algorithm runs its course, two things would happen. It would develop a consciousness, or it would dominate our world in a bad way (turned evil). So the ideal AI, would not develop a consciousness and is there to serve human

We all know about artificial neural network and genetic algorithm, but what good is it if it can only be tested on the computer world? What if you build a robot, and have the robot runs these algorithms to protect you at all cost in the real world? What if you build a microwave turret and have the microwave turret runs these algorithms to protect you? What if you ask the robot to make you immortal, to make you a god. The possibility seems infinite.

Everyone can build a dream machine. And with your instruction on directional microwave, I can probably come up with something similar too. But in the end, what really does matter is scale. If you can come up with a directional laser on a molecular scale resolution it would be premium or even millions of dollars. I mean of the best experience I have had about dreams it still requires a mesh map of the entire head. But in the end, once you've built one, the rest is easy. It's always the first satellite, or stem cell burger, that is expensive. I'd imagine some sort of optical lenses capable of magnifying the electromagnetic radiation. For instance, a telescope, which works for light on a relatively short wavelength. We could build a telescope for radio wave? I'll need to look more into it https://en.wikipedia.org/wiki/Radio_telescope

It's not like they put the dream machine on sale = =, dream machine 5000 dollars each. Like PS2 when it first came out, probably does not cost as much, and has to be mass produced.

Right, it would be an electromagnetic radiation of a lower frequency. But with a lower frequency the quality would not be as good. Example, an MRI scan uses radio wave, and the range is around 10mm. And you have to modify it as well, given that the only option would be a laser

Hey strange, is there a way to use the microwave laser to scan someone's head on neuronal detail? Of course it needs to be of a lower frequency, but you're not using MRI to scan, instead you are using directional radio wave. And you check the output based on reflection like Raman Spectroscopy. I don't know how to go about it in depth into the brain, but is there something like this?

Check out this SALK research.

Ya, you're right

Actually there's gotta be an electromagnetic radiation that can go through cell, I mean it comes in different spectrums

Ya, that's the method I found for controlling the gene expression, it either requires you to alter the RNA with some compound, or in this case, using iron particles. I am looking for a method without using any chemical alterations to change the gene expression, purely with electromagnetic radiation that is. My bet is on phosphorylation of the transcription factors, one of the steps in which hormones activates the transription factors through phosphorylation before it enters the nucleus. P.S Hmm, but you can't get the electromagnetic radiation inside the cell heh

You can also use electromagnetic radiation to change the entire body's cells' gene expression at the click of a button.

It is the idea to use brains as a information source. No consciousness involved

Thanks for the clarification. If you could combine Artificial Intelligence with Optogenetics and machine learning. The idea about this laser is that it would scan and learn as it goes, not just focus on one person. It could treat a wide range of patients on a vast population. I dunno where they could get research funding though =/