 |
|
Project Status: Under Development
This distributed computing project is part of a larger project that is reverse engineering the brain in order to build a large scale artificial intelligence system. The first of its kind.
Because we are a very small company (i.e. 2 people) that is tackling an enormous challenge, we are asking the public at large to get involved by donating computer time. In order to be able to support and accelerate its development we will also pursue an alternative path, through commercialization.
Benefits To The Society: Exceptional
|
|
|
|
|
|
Join The Project
This project uses Internet-connected computers in order to leverage the computing power of many machines. You can participate by downloading and running a free program on your computer.
You will need to download the BOINC client manager from the BOINC web site. If you have any issues with the BOINC software please address them to their network of volunteers on the help page. We will post the source code on SourceForge.net project site.
We expect to launch new versions often so please bear with us. Building a neural network simulator requires much more than raw computing power and each released version will incrementally increase the system's features.
For technical support issues please use the forums or contact us at support@intelligencerealm.com.
|
|
|
|
Latest News
The project is under development. We have released the source code for the client application; it can be downloaded from SourceForge.net. We have also prepared a draft of the system architecture.
The project URL is: http://www.intelligencerealm.com/aisystem
In order to connect to the project you need to start the Boinc client manager and from the Tools menu to select [Attach to Project]. When asked for the project URL enter the above link and then create a new account, or use an existing one if you are already registered. If you're running a command-line or pre-5.0 version of BOINC, you need to create an account first. Before joining, please take a moment to read our Rules and Policies page.
Latest news from Jul 12, 2008...    RSS
Source Code Downloads: 2221(source: SourceForge.net search results for "artificial intelligence system")
Teams: 618Computers: 6383Participants: 3387
|
|
|
|
Returning Participants
Use one of the following links to navigate to your account or view additional information:
|
|
|
|
Results
To date we have simulated 106,371,500,000 neurons. The human brain has an estimated 100 billion neurons. For summary results click on the image link below.
 
Computing Information
The neural network simulator is an application that simulates neurons. Each downloaded work unit generates 500,000 biophysical neurons. Because the simulator is in an initial phase and we have very few
cellular models implemented, we can only use it to test for simulations capacity. We have completed the first phase of the project, to simulate over 100 billion neurons. The second largest brain simulation has been done on a cluster of 27 machines, with 100 billion neurons simulated over a period of 50 days.
While it was a very interesting experiment which pushed the frontier further on it was a partial simulation only, in the sense that many of the
required components were not implemented due to hardware constraints.
The neurons were created, simulated and then destroyed in memory, without any data being stored. Based on their results the estimate for full brain simulations was calculated to be the year 2016; we would like to prove otherwise. From a practical point of view it didn't advance the knowledge further on and that's why we would like to continue along
this line of thought and bridge these results with some practical data. The problem of storage and computing power is esential for large scale brain simulations because without them we can't plan and estimate these requirements. Without planning there is also no clear understanding as to what is needed in order to do that. As we advance with the simulation and more and more neurons get
simulated, we should be able to make increasingly precise estimations on storage, number of computers required, duration, bandwidth and other factors. Regardless of the fact that at this stage our simulation is not precise
and it lacks in many aspects, this is what we want to achieve with your help.
There is also the added benefit that once we will publish these results and the public at large would see that the capacity to simulate the entire brain is considerably higher than previously thought, a large stumbling block will be removed from the path of artificial intelligence.
|
|
|
|
Learning Center
The center provides additional information about artificial intelligence and the brain. You can view various images, find references to books, web sites and in the future we will add videos.
Click on the following image to visit the center:
|
|
|
|
Knowledge Acquisition
The knowledge acquisition module is used for defining the information that will be loaded in the system. The sentences entered will form the future memories of the system.
The system has no information at all about our world or anything else for that matter, so we must define that. We do not plan to
build that extensively because the system will be capable to learn by itself once the learning module is going to be implemented.
Click on the image below to go to the knowledge acquisition form. You will need to log in so that we can track the source of each sentence.
|
|
|
Is this a different kind of intelligence?
Is it possible for the artificial intelligence system to modify its behavior if it has consciousness implemented?