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QUICKAIThe Future of Artificial Intelligence

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ICKAI INTRO

DU

CTION

Overview

QuickAI is a return to the fundamental goal of creating a true artificial intelligence (AI). The approach used to achieve this goal is through a category of AI called natural language processing (NLP), which is to say, to get the computer to understand something in the same way that people communicate with each other.

These days, and I am sure we are all aware of this, there is a sense of information overload. Eric Schmidt (of Google) remarked that we create as much information every 2 days as we did in the whole history of humankind up till 2003. Every two days. In the shuffling of papers (real or digital), there is simply too much, and much will be missed, misfiled, or ignored. What if there were a way to handle all that information?

In the movies and TV, we have examples of what a true AI should be. Even in the original Star Trek series, all the captain had to do was to ask, “Computer, what is the nearest star system?” and the computer would answer back. What if you could have that sort of computer working for you, with all the information that was relevant to your business, or how you live?

This is the ground level of such an idea. Because we can’t make do with losing out on all the information that is out there, if we want to come to grips with what technology is capable of. QuickAI is the future of artificial intelligence, nothing less.

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ICKAI ADVANCES

Technology

• QuickAI is made of original computational structures• Four areas have been identified for patents• Source code for the proof of concept is open source• Nobody’s doing things like we’re doing things

Possibilities

• Imagine feeding QuickAI all the documents you have• Being able to retrieve it in a conversation with the AI• What if a letter you’ve been writing could be fact checked?• Or even check out the reasoning of an argument?• Imagine a virtual assistant that can actually assist• An artificial intelligence that is actually intelligent• Such are the possibilities…

Theoretica.info

This is made of advanced stuff:

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ICKAI OPS

Simple Inquiry

> start...................................what seems to be the problem?> i have stomach pain.what food did you have?> i had beans.it may be intestinal gas.

A More Involved Example

what seems to be the problem?> i have stomach pain.what food did you have?> i had nothing.what medication did you have?> i had advil.did you have alcohol?> yesit may be ulcer.

“Don’t Know” Condition

what seems to be the problem?> i have stomach pain.what food did you have?> i had foobar.what medication did you have?> i had qwerty.i don't know what it could be.

What You’re Seeing

• The database is simple English sentences: “beans are a food.” “stomach pain is a symptom of ulcers.”

• “start” tells it to read in the database, and start diagnosing• After your input, the AI chooses what question to ask• If it doesn’t know, it knows when it doesn’t know

Proof of Concept

• Of course, it is at this stage a proof of concept• Able to handle the simplest of statements• Much more is possible• The ideas we have need to be developed• Consider this the launching pad of a rocket to the moon

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ICKAI FUTU

RESFunding Direction

Personnel• Programmers• Research assistants

Patents/Branding/Legal• Product Dev. & Branding• 4 Unique Patents• Legal Professional Counsel

Office/Operations

*see Appendix 1 Use of Proceeds

• Accountant• Office administrator

Initial Course

The first steps: • To make a scalable, robust engine• This can fuel any number of purposes• We have ideas that need people to implement• We need the funding to continue • A truly innovative, commercially superlative venture• We will read and understanding massive corpora of text• We can direct it for specific uses (see to the right)• For the enterprise…• And new solutions can then be created as needed• Continual growth in core and product offerings

Use of Moneys*

• We need resources to continue development• We have the beginnings of the implementation• We have ideas of what needs to happen• There is much to do, great opportunities that lie ahead

Plan for Revenue*

Potential uses:• Medical• Law• Education • Customer service

*see Appendix 2 Revenue Projections

• Semantic web• Games• Other licenses • Such possibilities…

• There are so many applications that it could be used for• We must winnow the choices to those most beneficial• The problem turns out to be an embarrassment of riches

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ICKAI ADVANTAG

ESo What?

What does it mean, the term “artificial intelligence”?• We deal with AI every day, whether we realize it or not• The cliché of AI is that whenever an AI problem is solved, it is no longer AI• Compiling a program was once considered to be an AI problem• We don’t see the intelligence in AIs: this is where we come in…• An artificial intelligence is not a human, and never will be• At best, it will be a wholly alien type of intelligence, because it will be made of different stuff• Even so, we should recognize it as being intelligent• Even when we figure out what intelligence is, we should still be able to call it intelligence• The main question of what intelligence is, turns out to be, “Does it understand?”• We have the audacity to say, we can make the machine understand• That’s where we’re going: the “intelligence” in AI

Competition

• Watson won the Jeopardy challenge• That would be our main competition• But now the idea of such an intelligence is out there• More people get that such things can actually exist• There are a number of AI projects that are under the radar• We’ve taken a look at many of them• They use such things as neural nets and semantic networks• Breakthroughs are few and far between, however• Even Watson uses previously fashioned paradigms

What we have is totally new

Where We Will Win

• Watson is HUGE• It runs on a machine with 2800+ cores• Contains millions of lines of code• What if we could do what they can do?• On a machine for a medium sized website?• What if we’re better?• What separates us from the pack is in the quality of depth• The AIs out there have a surface level “intelligence”, if that• Once you try and dig in, they’re not so smart

Where we will win is in how intelligently we handle intelligence