This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Beijing Baidu Netcom Science Technology Co., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Pengzhi Gao - Innovator in Deep Learning and Natural Language Processing
Introduction
Pengzhi Gao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in natural language processing and machine translation technologies. His innovative work has led to the development of a method that enhances the training of deep learning models.
Latest Patents
Pengzhi Gao holds 1 patent for his invention titled "Method of training deep learning model and method of processing text data." This patent provides a comprehensive approach to training deep learning models by processing sample source and target data. The method includes determining a regularization function value and adjusting model parameters to achieve a pre-trained deep learning model. Additionally, it encompasses methods for processing text data, an electronic device, and a storage medium.
Career Highlights
Pengzhi Gao is associated with Beijing Baidu Netcom Science Technology Co., Ltd., where he applies his expertise in artificial intelligence. His work at Baidu has positioned him as a key player in advancing technologies that leverage deep learning for practical applications.
Collaborations
Pengzhi Gao has collaborated with notable colleagues, including Zhongjun He and Zhi Li. Their combined efforts contribute to the innovative projects at Baidu, enhancing the capabilities of artificial intelligence technologies.
Conclusion
Pengzhi Gao's contributions to deep learning and natural language processing exemplify the impact of innovation in technology. His work continues to influence advancements in artificial intelligence, paving the way for future developments in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile