This inventor holds 1 USPTO granted patent. Top assignee: Datarobot, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Jason McGhee: Neural Network Training Innovation
Introduction
Jason McGhee is an inventor associated with Boston, Massachusetts. His patent work addresses methods for designing and training neural networks, including approaches intended to help models handle heterogeneous data efficiently and accurately.
Latest Patents
McGhee is credited with 1 patent: “Automated and Adaptive Design and Training of Neural Networks.” The patent describes systems and methods for developing and using neural network models. One example method oscillates the learning rate during preliminary training, uses the results to determine how many epochs to run in a subsequent training session, and then trains the network for that determined number of epochs.
Career Highlights
McGhee is associated with DataRobot, Inc. His patent focuses on adapting neural network training based on preliminary results, with the aim of supporting efficient and accurate model development.
Collaborations
McGhee’s listed coworker is Zachary Albert Mayer. Their shared professional association is connected with DataRobot, Inc.
Conclusion
Jason McGhee’s patent presents an adaptive approach to neural network design and training, reflecting his work in machine learning innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile