This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Peking University. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: The Innovations of Guihai Yu
Introduction: Guihai Yu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of deep learning and computing technologies. His innovative work has led to the development of a unique patent that showcases his expertise in neural networks.
Latest Patents: Guihai Yu holds a patent for a "Deep neural network based on flash analog flash computing array." This invention involves a deep neural network that utilizes an analog FLASH computing array. The design includes multiple computing arrays, subtractors, activation circuit units, and integral-recognition circuit units. Each computing unit is equipped with a FLASH cell, and the architecture is meticulously organized with word lines, bit lines, and source lines to optimize performance. This patent highlights his ability to integrate advanced computing techniques into practical applications.
Career Highlights: Guihai Yu is affiliated with Peking University, where he continues to advance his research and development efforts. His work at this prestigious institution has allowed him to collaborate with other talented individuals in the field. His contributions have not only enhanced his own career but have also pushed the boundaries of technology in neural networks.
Collaborations: Guihai Yu has worked alongside notable colleagues such as Peng Huang and Jinfeng Kang. Their collaborative efforts have fostered an environment of innovation and creativity, leading to groundbreaking advancements in their respective fields.
Conclusion: Guihai Yu's contributions to the field of deep learning and computing are noteworthy. His patent for a deep neural network based on an analog FLASH computing array exemplifies his innovative spirit and technical expertise. As he continues his work at Peking University, his future endeavors are sure to make a lasting impact on technology and research.
