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## Applications

Clearly stream computing is a paradigm whose implementations embody elements that are appropriate to the specific application. In practice, it would consist of several layers of SIMD processors working to abstract different application-specific abstractions from several copies of the data. This should make it possible to do faster processing and analysis as well as decision making in business and science. It should also allow one to deal with data in a variety of forms that include transaction and internet data, video, voice, and data from sensors. The processing of data will begin as it streams in and, therefore, it must use models and abstractions that can deal with incomplete information. This is to be contrasted from conventional approaches where the data is first collected and stored and then analyzed. Clearly, the conventional approach takes time that might not be available in applications such as automated trading or in surveillance. One can visualize applications of stream computing include those to life sciences (as in computational biology, computational immunology and visualization), automated trading (as is done by hedge funds), and various types of graphics-based consumer applications. Stream computing should also be of importance in security applications, data mining, and intrusion detection. 

## References

1. M.S. Gazzaniga, *The Cognitive Neurosciences*, MIT Press, Cambridge, Mass., 1995. 2. S. Kak, "The Three Languages of the Brain: Quantum, Reorganizational, and Associative," *Learning as* Self-Organization, K. Pribram and J. King, eds., Lawrence Erlbaum, Mahwah, N.J., 1996, pp. 185–219. 

3. S. Kak, "Artificial and biological intelligence." *ACM Ubiquity* 4, no. 42, 2005; arXiv:cs/0601052 4. S. Kak, "Active agents, intelligence, and quantum computing," *Information Sciences*, vol. 128, pp. 1-17, 2000. 5. S. Kak, "Multilayered array computing." *Information Sciences*, vol. 45, 1988, pp. 347-365. 

6. L. Deecke and H.H. Kornhuber, "An electrical sign of participation of the mesial "supplementary" motor cortex in human voluntary finger movement." Brain Res *159,* 473-476, 1978. 