This inventor holds 7 USPTO granted patents and 3 published patent applications, plus 1 CIPO patent and 1 EPO patent. Top assignee: Intuit, Inc.. Active years: 2022-2026.
Location History:
- Mountain View, CA (US) (2022)
- Arcadia, CA (US) (2023 - 2024)
Company Filing History:
Years Active: 2022-2026
Title: Innovations of Neo Yuchen
Introduction
Neo Yuchen is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of technology, particularly in voice recognition and machine learning. With a total of 7 patents to his name, Yuchen continues to push the boundaries of innovation.
Latest Patents
One of his latest patents is titled "Method and system for user voice identification using ensembled deep learning algorithms." This patent outlines techniques for training a user detection model to identify users of a software application based on voice recognition. The method involves receiving a data set of voice interactions and generating a spectrogram representation for each recording. A plurality of voice recognition models are trained using these representations and deployed to an interactive voice response system.
Another notable patent is "Account prediction using machine learning." This invention provides techniques for training a machine learning model by analyzing historical support records. It includes determining features based on time-stamped actions and training an ensemble model to predict account indications based on input features.
Career Highlights
Neo Yuchen is currently employed at Intuit, Inc., where he applies his expertise in developing innovative solutions. His work has significantly impacted the company's technological advancements and product offerings.
Collaborations
Yuchen collaborates with talented individuals such as Shanshan Tuo and Divya Beeram, contributing to a dynamic and innovative work environment.
Conclusion
Neo Yuchen's contributions to technology through his patents and work at Intuit, Inc. highlight his role as a leading inventor in the field. His innovative approaches to voice recognition and machine learning continue to shape the future of technology.