AD Introduces First CCortex-based Autonomous Cognitive Model

Cognitive Systems Workshop - SANTA FE, NM

Artificial Development announced today the first CCortex(TM)-based Autonomous Cognitive Model (”ACM”), a realistic representation of the workflow of a functioning human cortex. The ACM may have immediate applications for data mining, network security, search engine technologies and natural language processing.

The first ACM computer “persona,” named “Kjell” in homage to AI pioneer Alan Turing, was activated in June 2004 and is in early testing stages. CCortex, Artificial Development’s high-performance, parallel supercomputer, runs the persona simulation…

… CCortex is a system intended to mimic the structure of the human brain, with a layered distribution of neural nets and detailed interconnections. CCortex closely emulates specialized regions of the human cortex, basal ganglia, thalamus and hippocampus. CCortex runs on a high-performance, parallel supercomputer, a Linux cluster with up to 500 nodes and 1,000 processors, 1 terabyte of RAM, and 200 terabytes of storage. With 20 billion neurons and 20 trillion connections, CCortex is up to 10,000 times larger than any previous attempt to replicate, partially or completely, primary characteristics of human intelligence, and is the first neural system to achieve a level of complexity rivaling that of the mammalian brain.

Special Report: CEBIT 2004

A new “molecular economy” is on its way, while the information economy hasn’t completely matured. As the information economy comes of age, a surprising thing is happening: Information systems are starting to take their cues from biological ones. Information is converging with biology, and business is following suit.

Genetic algorithms are already in widespread use, improving jet-engine designs, credit-scoring forms, and stock-trading rules. The bigger story than sex for software is the abstract principle that biological behavior — in this case sex — can be written into digital code, then applied to the most intractable business problems. Stay with us, and you’ll see that this translation of a biological function into a computer process is only one of many ways in which the concepts of evolution apply to business, in this case through precisely measurable operations improvements.

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