Gregory T Buehrer

Title: Gregory T. Buehrer: Innovator in Deep Learning and Inference Indexing

Introduction

Gregory T. Buehrer is a notable inventor based in Issaquah, WA (US). He has made significant contributions to the fields of deep learning and semantic analysis, holding a total of 4 patents. His work primarily focuses on transforming linguistic items into continuous-valued concept vectors, enhancing the understanding of semantic relationships.

Latest Patents

One of Gregory's latest patents is titled "Convolutional Latent Semantic Models and Their Applications." This patent describes a functionality for transforming first and second symbolic linguistic items into respective first and second continuous-valued concept vectors using a deep learning model. The convolutional latent semantic model captures both local and global linguistic contexts, allowing for a similarity measure that expresses the closeness between the first and second linguistic items in a high-level semantic space. In practical applications, this model can be utilized for queries, phrases, documents, keywords, and advertisements.

Another significant patent is "Inference Indexing." This patent provides methods, systems, and media for generating an inference index. It references a canonical entity associated with web documents and identifies queries that lead to the selection of these documents. An entity document is generated for the canonical entity, which includes the identified queries and associated text. This process can be combined with additional related documents to create a comprehensive inference index.

Career Highlights

Gregory T. Buehrer is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in deep learning and semantic technologies to drive innovation within the company. His contributions have been instrumental in advancing the capabilities of machine learning applications.

Collaborations

Throughout his career, Gregory has collaborated with notable professionals in the field, including Kumar Hemachandra Chellapilla and Xiaodong He. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Gregory T. Buehrer's innovative work in deep learning and inference indexing has significantly advanced the understanding of semantic relationships in linguistic data. His contributions continue to influence the field and demonstrate the importance of innovation in technology.