This inventor holds 1 USPTO granted patent. Top assignee: Huaxia General Processor Technologies Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Zhaonan Meng: Innovator in Neural Network Acceleration
Introduction
Zhaonan Meng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural network technology, particularly through his innovative patent. His work focuses on enhancing the efficiency of neural network processing, which is crucial for advancements in artificial intelligence.
Latest Patents
Zhaonan Meng holds a patent for a "System and architecture of pure functional neural network accelerator." This invention features an accelerator circuit that includes a control interface to receive a stream of instructions, a first memory to store input data, and an engine circuit. The engine circuit comprises a dispatch circuit that decodes instructions into multiple commands and several queue circuits. Each queue circuit supports a data structure to store commands, while command execution circuits are designed to execute commands extracted from the queues. This innovative architecture aims to optimize the performance of neural networks.
Career Highlights
Zhaonan Meng is associated with Huaxia General Processor Technologies Inc., where he applies his expertise in neural network acceleration. His work at the company has positioned him as a key player in the development of advanced processing technologies. His contributions are vital for the ongoing evolution of artificial intelligence applications.
Collaborations
Zhaonan has collaborated with notable colleagues, including Shaobo Shi and Lei Wang. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Zhaonan Meng's contributions to the field of neural network acceleration exemplify the importance of innovation in technology. His patent and work at Huaxia General Processor Technologies Inc. highlight his role as a leading inventor in this rapidly evolving domain.