Justin Ormont

Title: Justin Ormont: Innovator in Automated Machine Learning

Introduction

Justin Ormont is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of automated machine learning (AutoML). His innovative work focuses on optimizing machine learning models for actual hardware processors.

Latest Patents

Justin holds a patent titled "Performance metrics of run-time predictions of automated machine learning (AutoML) models run on actual hardware processors." This patent outlines systems and methods for optimizing trained machine learning hardware models. The process involves collecting machine learning training inputs and outputs, selecting a machine learning model architecture, and training the selected model with the gathered data. Additionally, it includes selecting a hardware processor and creating a trained machine hardware model. The model is then tested using selected inputs and outputs to provide runtime test metrics data for predictions made by the trained model. The optimization process can involve selecting a new model architecture or updating the trained model based on runtime metrics.

Career Highlights

Justin is currently employed at Eta Compute, Inc., where he continues to develop innovative solutions in the realm of machine learning. His work is pivotal in enhancing the efficiency and effectiveness of machine learning applications.

Collaborations

Some of Justin's coworkers include Evan Petridis and Luan Nguyen, who contribute to the collaborative environment at Eta Compute, Inc. Their combined expertise fosters innovation and drives advancements in machine learning technologies.

Conclusion

Justin Ormont's contributions to automated machine learning exemplify the impact of innovation in technology. His patent and work at Eta Compute, Inc. highlight his commitment to advancing the field.