This inventor holds 1 USPTO granted patent. Top assignee: Flowcommand Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: David Jed Somers: Innovator in Machine Learning Flow Measurement
Introduction
David Jed Somers is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, particularly in the area of flow measurement in pipelines. His innovative approach combines acoustic data collection with advanced predictive modeling.
Latest Patents
Somers holds a patent for a system and method that enables predicting flow rate in a pipeline using machine learning. The patent, titled "Machine Learning Server-Side Flow Measurement," describes a process where data is collected from a pipeline using an acoustic device. This data is then transmitted to a server for processing. Based on the processed data, a reference model is selected that is most appropriate for the data. Features extracted from the data are input into the reference model, which outputs a predicted flow rate. This innovative method enhances the accuracy and efficiency of flow measurements in various applications.
Career Highlights
David Jed Somers is currently employed at Flowcommand Inc., where he continues to develop and refine technologies related to flow measurement. His work at the company has positioned him as a key player in the integration of machine learning with practical engineering solutions.
Collaborations
Somers collaborates with Jeffrey Garoon, leveraging their combined expertise to advance the company's technological offerings. Their partnership exemplifies the importance of teamwork in driving innovation.
Conclusion
David Jed Somers is a pioneering inventor whose work in machine learning and flow measurement is making a significant impact in the industry. His contributions are paving the way for more accurate and efficient systems in pipeline management.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile