This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Gyrfalcon Technology Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Yi Fan - Innovator in AI Chip Training Solutions
Introduction
Yi Fan is a prominent inventor based in Fremont, CA, specializing in advancements in artificial intelligence and semiconductor technology. He has made significant contributions to the field, particularly in the training of AI models for efficient implementation on AI chips.
Latest Patents
Yi Fan holds a patent for a groundbreaking system that utilizes quantization in training an artificial intelligence model in a semiconductor solution. This innovative approach involves an AI training unit that trains weights of an AI model in floating point. The system includes a convolution quantization unit for quantizing the trained weights to a number of quantization levels, as well as an activation quantization unit for updating the weights of the AI model. The updated weights are stored in fixed point and can be uploaded to the AI chip. This design accounts for hardware constraints in the AI chip, minimizing performance degradation and expediting training convergence.
Career Highlights
Yi Fan is currently employed at Gyrfalcon Technology Inc., where he continues to develop cutting-edge solutions in AI technology. His work focuses on enhancing the efficiency and effectiveness of AI model training, which is crucial for the advancement of AI applications.
Collaborations
Yi Fan collaborates with talented colleagues, including Yongxiong Ren and Yequn Zhang, to push the boundaries of innovation in AI and semiconductor technologies.
Conclusion
Yi Fan's contributions to the field of artificial intelligence and semiconductor solutions exemplify the spirit of innovation. His patent on quantization in AI model training represents a significant step forward in optimizing AI chip performance.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
