ai-one™ is a fundamental technology that transforms information into a generalized rule set and processing environment. ai-one™ is capable of multiple higher-order concept formation, i.e. it can learn new concepts by taking multiple layers of context information into account such as visual information structures in pictures or the whole range of lexical, syntactic, semantic and pragmatic context in text. These information structures are transformed into generalized rule sets, which can then be applied to further input facts.

When incorporated into products as software or embedded as a chip solution, ai-one™ enables solutions that feature new functions with large improvements in cost and performance.

The features and benefits of the holosemantic data space in combination with the mathematical ai-one™ approaches are:

• Self-optimized information processing
• Self-controlled content organization
• Multiple higher-order concept formation
• Autonomic learning via multiple context recognition
• Self-generalizing of learned concepts

Total control and understanding the behavior of the neural cells in the holosemantic data space leads to:  Biologically inspired intelligence in computing