This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Jin Cao - Innovator in Natural Language Understanding
Introduction
Jin Cao is a prominent inventor based in Forest Hills, NY (US). He has made significant contributions to the field of natural language processing, particularly through his innovative patent that enhances the efficiency of language understanding systems.
Latest Patents
Cao holds a patent for a "Shared encoder for natural language understanding processing." This patent describes techniques for utilizing a shared encoder alongside multiple decoders tailored for various natural language understanding (NLU) tasks. The individual decoders are designed to perform distinct tasks using the output from a single shared encoder. This approach not only reduces computation time during runtime but also minimizes training costs when the system is updated to include additional intents and entities. The system employs an attention mechanism to extract encoded representation data, which can be utilized by the different decoders for their specific tasks. He has 1 patent to his name.
Career Highlights
Cao is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology in natural language processing. His work is instrumental in developing systems that are more efficient and capable of handling diverse languages and domains.
Collaborations
Throughout his career, Jin Cao has collaborated with notable colleagues, including Fabian Triefenbach and Jonathan Jakob Hueser. These collaborations have further enriched his work and contributed to advancements in the field.
Conclusion
Jin Cao's innovative contributions to natural language understanding exemplify the impact of technology on communication. His work at Amazon Technologies, Inc. and his patent for a shared encoder demonstrate his commitment to enhancing the efficiency of language processing systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
