Wisconsin Alumni Research Foundation

Seong Jae Hwang

Vikas Singh

Ronak R Mehta

Sterling Johnson

Won Hwa Kim

Nagesh Adluru

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.

Neural network architecture with concurrent uncertainty output

A method of improving data sets, for example, of patients, each being characterized by relatively low-cost medical data, identifies those patients where the acquisition of higher cost medical data would best inform an estimate of the higher cost medical data for the remaining patients. In this way scarce medical resources can be more efficiently applied in characterizing a potential patient pool, for example, for a clinical trial when resources are not available for extensive medical characterization of each trial participant.

Growing community of inventors

Madison, WI, United States of America

Seong Jae Hwang