Well, actually i have two new documents now.
CES Artificial General Intelligence and Machine Vision (An introduction to SC-11 technology)
and
CES Intelligent Neural Networks
Well, i have changed the structure to a Neural Nets. But it is nothing like other Neural Nets, but the process flow has always been similar to Neural Nets.
Btw, my real name is Rikard Svensson
Here is a copy from our website:
SC-11 - Number1
Number1 will simulate a high-poly 3D forest with lots of trees, a blue sky and some clouds. The simulation will have a dynamic terrain and situated on it will be a Woodcutter, swining an axe at a tree. The Number1 simulation will use the latest technology (EDS, WFS and SRS) developed by Rikard Svensson in order to be able to mimic human movement without any prior knowledge by just viewing a visual stream. The AI used in Number1 is beyond the state of the Art AI by many years.
SC-11 - Number2
Number2 will simulate a short sequence of a bouncing ball. By having this information the Artificial Lifeform (also known as ALF) will use Origin Tracing (or OT) in order to calculate the origin of the bouncing ball and its presumed final destination. Origin Tracing is designed so that by just seing a short sequence of the bouncing ball it can still determine the gravity of the world (will be set to 9.81 m2/s) and it can also determine various features of the ball such as outer hull strength, texture, weight (if gravity is known) and much more.
By designing a more complex version of the Number2 simulation it is also possible to detrmine Usage Area of the ball by having a simple 2D visual stream.
SC-11 - Number3
Number3 will be the last real computer simulation in the SC-11 series. Number3 will simulate a highly trafficed street and the ALF's task is to cross the road. Number3 might sound trivial compaired to Number1 but actually Number3 will require more usage of the latest CES technology.
Number3 will have a limited window of opportunity to cross the road and it will have to use all it's technologies to seize the moment. The ALF can only look right, left or forward instead of having a overview of every action in the world at once. There is no other AI that can solve this without a optimized solution for that particular problem whilst the CES AI is universal.
Number3 will cross the road on the first try, there is no trail and error neccesary. If it would fail then it is because some mathematical equations are wrong. The CES AI cannot fail since it is not controlled by code, it is controlled by environement and knowledge.
Given that it can solve all those problems then it is ready for real-world integration. We will make a solution to Darpa's Grand Challange.
And so that you do not think like Dennis:
All the simulations will use the same universal solution and not a manufactured solution for every simulation. However SRS and RSS are totally different things and the ALF can use one (not both).
What EDS, WFS, SRS and RSS means i will not write here.
And i forgot to say, these samples focus mostly on machine vision rather than the AI, that we will have different samples for and i have not finished designing them all yet.
BigBlueHead, would you be interested in a chat this weekend? (i will be online 24 hours every day of the weekend)
My MSN messenger is,
da_rikard@hotmail.com
I also have ICQ but not installed on this computer but if i really have to ill download it.
Same goes for you Stryder, if you are interested in a chat then please add me or tell me your ICQ or something (i do not have AIM)
/Rikard Svensson - CEO, The CES Project