This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Beijing Baidu Netcom Science Technology Co., Ltd.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Danlei Feng: Innovator in Neural Network Training
Introduction
Danlei Feng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in deep learning and distributed learning. His innovative work has led to the development of a unique neural network training method and apparatus.
Latest Patents
Danlei Feng holds a patent for a "Neural network training method and apparatus, electronic device, medium and program product." This patent focuses on a method that includes acquiring a neural network for deep learning, constructing a deep reinforcement learning model, and determining the optimal processing unit selection for various network layers based on training duration and cost.
Career Highlights
Feng is associated with Beijing Baidu Netcom Science Technology Co., Ltd., where he applies his expertise in artificial intelligence. His work has been instrumental in advancing the capabilities of neural networks, making them more efficient and effective for various applications.
Collaborations
Danlei Feng has collaborated with notable colleagues, including Xuefeng Yao and Zhihua Wu. Their combined efforts have contributed to the success of projects within the realm of artificial intelligence.
Conclusion
Danlei Feng's innovative contributions to neural network training exemplify the advancements being made in artificial intelligence. His work continues to influence the field and pave the way for future developments.