Richard T Hennig

Title: Innovations by Richard T Hennig

Introduction

Richard T Hennig is an accomplished inventor based in Westminster, CO (US). He has made significant contributions to the field of automated threat detection through his innovative patent. His work exemplifies the intersection of machine learning and data analysis, showcasing the potential for technology to enhance security measures.

Latest Patents

Richard T Hennig holds a patent for "Retraining supervised learning through unsupervised modeling." This patent describes systems and methods for automated threat detection. The system receives various types of unlabeled data and utilizes an unsupervised machine learning model to determine labels for the data. These labels are then provided to a supervised machine learning model during a first training process. When new data is received, the supervised model is executed during an inference process to cluster the new data according to the labels determined by the unsupervised model. Additionally, a label audit process may be implemented to update the cluster/output of the supervised model, allowing for continuous improvement in threat detection.

Career Highlights

Richard T Hennig is currently employed at Entanglement, Inc., where he continues to develop innovative solutions in the field of machine learning. His work has garnered attention for its practical applications in enhancing automated systems.

Collaborations

Richard has collaborated with notable colleagues, including Haibo Wang and John Lister, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Richard T Hennig's contributions to automated threat detection through his patent demonstrate the power of combining unsupervised and supervised machine learning models. His work at Entanglement, Inc. continues to push the boundaries of technology in security applications.