Using biological rhythm inspired wireless electromagnetic communication and data encryption for threat sensing
Abstract
The objective is to build a new class of dielectric imaging that captures events occurring at various time scales in the biological system. By understanding how information is communicated and processed at in multi-layered biological systems, the establishment of a new language for data encryption and artificial intelligence can be achieved. This will allow for the creation of a global nested rhythm network database. By running this database once could test existing state-of-the-art machine learning algorithms and the rhythm based language could improve the performance of existing software significantly. Furthermore, by using a composition of frequency of several biological rhythms, new kinds of medical science could be born.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 21, 2018
- Source ID
- FA23861610003
Entities
People
- Anirban Bandyopadhyay
Organizations
- Air Force Office of Scientific Research
- National Institute for Materials Science
- United States Air Force