This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: **Innovative Contributions of Christopher Robert Waterson**
Introduction
Christopher Robert Waterson is a prominent inventor based in Incline Village, NV, USA. He has made significant contributions to the field of technology, particularly in the area of data representation and machine learning. Through his innovative thinking, Waterson has developed unique methods to enhance the generation of feature embeddings from co-occurrence matrices.
Latest Patents
Waterson holds a patent for "Generating feature embeddings from a co-occurrence matrix." This patent describes methods and systems, including computer programs encoded on computer storage media, aimed at generating compressed representations from co-occurrence matrices. The methodology involves obtaining sub matrices from a co-occurrence matrix characterized by features from two distinct vocabularies. By selecting the relevant sub matrices and iteratively adjusting embedding vectors, the invention provides enhanced accuracy in representing features, which is crucial for advanced computational tasks.
Career Highlights
Christopher Robert Waterson has demonstrated his expertise at Google Inc., where he has been instrumental in advancing technological capabilities. His involvement in various innovative projects showcases his dedication to fostering growth in the tech landscape.
Collaborations
Throughout his career, Waterson has collaborated with esteemed colleagues such as Noam M. Shazeer and Colin Hearne Evans. These collaborations underline the importance of teamwork and shared vision in driving technological innovation.
Conclusion
In summary, Christopher Robert Waterson stands out as a key inventor whose work in generating feature embeddings contributes significantly to advancements in data processing and machine learning. His patent reflects a deep understanding of mathematical principles and their applications in technology, making him a valuable asset to his field and to Google Inc.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
