holographic technology and neural networks

The capacity of holographic information systems to read a whole (million bit) page concurrently opens up fundamentally different means of data access and searching. With holographic data systems, one can contrast configurations of data using parallel processing and associative extraction properties -- exploring massive amounts of data to highlight relationships. The boundary between holography and robotics may form "holobots" that learn by means of creative identification of believable patterns in massive amounts of information. Eventually, optical neural networks may be possible using holographic technology. Linked page Holographic Card also provides information that may be of interest.

Besides providing quicker access and more capacity, holotechnology applied science opens up new means of information comparison and retrieval. Many current information recording and playback systems require exact details of data location in order to retrieve information and they process it in a serial manner. In contrast, holographic applied science enables searching massive amounts of data a whole page at once to contrast general patterns and similarity of patterns. With holotechnology applied science, the degree of similarity between a macro search configuration and data pages throughout an optical media depth can be quantified without bit-by-bit analysis of individual data components. This is called "Associative Retrieval." Associative retrieval is more compatible with imaccuracy and adaptive association, and more closely related to human cognition, than traditional information recording and playback systems. Virtual Reality also has related material.

Focused information on Holographic Computers .