Location History:
- New York, NY (US) (2019)
- San Ramon, CA (US) (2020 - 2021)
- San Francisco, CA (US) (2021 - 2024)
Company Filing History:
Years Active: 2019-2025
Title: Innovations of Nicolas Huynh Thien
Introduction
Nicolas Huynh Thien is a prominent inventor based in San Ramon, CA (US). He has made significant contributions to the field of digital video processing, holding a total of 9 patents. His work primarily focuses on utilizing machine-learning models to enhance the efficiency of video inference systems.
Latest Patents
One of his latest patents is titled "Efficiently inferencing digital videos utilizing machine-learning models." This disclosure describes various implementations of a video inference system that leverages machine-learning models to process digital videos efficiently. The system aims to improve digital video processing by enhancing the performance of both central processing units (CPUs) and graphics processing units (GPUs). For instance, the video inference system employs a first architecture that minimizes the computing resources required for video inference by analyzing multiple digital videos through sets of CPU/GPU containers and parallel pipeline processing. Additionally, a second architecture allows multiple CPUs to preprocess several digital videos in parallel, while a GPU continuously and efficiently infers each video.
Career Highlights
Nicolas Huynh Thien is currently employed at Adobe, Inc., where he continues to innovate in the realm of digital video processing. His expertise in machine learning and video inference has positioned him as a key player in advancing technology in this field.
Collaborations
Some of his notable coworkers include Brunno Fidel Maciel Attorre and William L Marino, who collaborate with him on various projects at Adobe, Inc.
Conclusion
Nicolas Huynh Thien's contributions to digital video processing through his innovative patents and work at Adobe, Inc. highlight his significant impact on the industry. His advancements in machine-learning models for video inference systems are paving the way for more efficient digital video processing solutions.