Wisconsin Alumni Research Foundation

Information Technology
Information Technology
Neural Network Architecture With Concurrent Uncertainty Output
WARF: P180188US01

Inventors: Vikas Singh, Seong Jae Hwang, Ronak Mehta

The Invention
A neural net processor provides twin processing paths trainable using different moments of the input data, one moment providing a proxy for uncertainty. Subsequent operation of the trained neural net allows monitoring of the uncertainty proxy to provide real-time assessment of neural net model-based uncertainty.
Additional Information
For More Information About the Inventors
For current licensing status, please contact Jeanine Burmania at [javascript protected email address] or 608-960-9846