Tuesday, June 26, 2012
Brandon Turbeville
Activist Post
It has recently been announced by Homeland Security News Wire that researchers at the Biometric Technologies Laboratory at the University of Calgary have improved upon current commercially available biometric identification technologies to the point of creating a form of artificial intelligence capable of making decisions regarding biometric information received from a variety of different sources.
The new biometric security program works by simulating the “learning patterns and cognitive processes of the brain.” The system was developed by the research and application of “neural network-based models for information fusion.”
Professor Maria Gavrilova, the head of the lab that conducted much of the research for this project at the University of Calgary stated:
Activist Post
It has recently been announced by Homeland Security News Wire that researchers at the Biometric Technologies Laboratory at the University of Calgary have improved upon current commercially available biometric identification technologies to the point of creating a form of artificial intelligence capable of making decisions regarding biometric information received from a variety of different sources.
The new biometric security program works by simulating the “learning patterns and cognitive processes of the brain.” The system was developed by the research and application of “neural network-based models for information fusion.”
Professor Maria Gavrilova, the head of the lab that conducted much of the research for this project at the University of Calgary stated:
Our goal is to improve accuracy and as a result improve the recognition process. We looked at it not just as a mathematical algorithm, but as an intelligent decision making process and the way a person will make a decision.
What makes
this algorithm different from previous systems is its ability to “learn
new biometric patterns and associate data from different data sets.”
