This inventor holds 1 USPTO granted patent. Top assignee: Lynxi Technologies Co., Ltd.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Qune Kong - Innovator in Synaptic Weight Training Methods
Introduction
Qune Kong is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks and electronic devices. His innovative work focuses on methods that enhance the functionality of spiking neural networks.
Latest Patents
Qune Kong holds a patent for a "Synaptic weight training method, target identification method, electronic device and medium." This patent describes a synaptic weight training method that involves inputting spike signals corresponding to training samples into a spiking neural network. The method includes learning a target synaptic weight using a back propagation rule and a synaptic plasticity rule, ultimately updating the target synaptic weight based on the learned weights. He has 1 patent to his name.
Career Highlights
Qune Kong is currently employed at Lynxi Technologies Co., Ltd. His work at the company emphasizes the development of advanced electronic devices and methods that leverage neural network technologies. His expertise in this area has positioned him as a key figure in the innovation landscape.
Collaborations
Qune Kong collaborates with talented individuals such as Zhenzhi Wu and Xin Ma. Their combined efforts contribute to the advancement of technologies in the field of neural networks and electronic devices.
Conclusion
Qune Kong's innovative contributions to synaptic weight training methods and electronic devices highlight his role as a leading inventor in the field. His work continues to influence advancements in neural network technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile