This inventor holds 2 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Millbrae, CA (US) (2020)
- Sunnyvale, CA (US) (2021)
Company Filing History:
Years Active: 2020-2021
Title: Lester Gilbert Cottle, III: Innovator in Machine Learning
Introduction
Lester Gilbert Cottle, III is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of machine learning, holding 2 patents that showcase his innovative approach to technology.
Latest Patents
Cottle's latest patents include "Two-stage training with non-randomized and randomized data." This invention addresses the issue of bias in machine-learned models by employing a two-phase training process. The first phase utilizes non-randomized training data, which is essential for deep learning models that require substantial amounts of data. The second phase revises the model using randomized training data to eliminate bias, ensuring the model operates fairly without needing additional randomized data. Another significant patent is "Factored model for search results and communications based on search results." This invention involves training two machine-learned models to predict user interactions with search results and communications, enhancing the efficiency of search result rankings.
Career Highlights
Cottle is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in machine learning. His work has had a profound impact on how machine learning models are trained and utilized in various applications.
Collaborations
Cottle has collaborated with talented individuals such as Qi Guo and Daniel Sairom Krishnan Hewlett, contributing to a dynamic work environment that fosters innovation.
Conclusion
Lester Gilbert Cottle, III is a distinguished inventor whose work in machine learning has led to valuable patents that address critical challenges in the field. His contributions continue to influence the development of unbiased machine learning models and improve search result efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
