Yee Hui Lee

Title: Innovations by Yee Hui Lee

Introduction

Yee Hui Lee is an accomplished inventor based in Bayan Lepas, Malaysia. She has made significant contributions to the field of artificial intelligence and hardware security. With a total of two patents to her name, her work focuses on enhancing the security and efficiency of AI models.

Latest Patents

Yee Hui Lee's latest patents include a "System and method of securing AI model" and a "Neural network accelerator architecture based on custom instruction and DMA on FPGA." The first patent addresses the need for securing AI models against potential attacks by utilizing a field programmable gate array (FPGA). This system incorporates a processor and custom instruction hardware that work together to authenticate users and decrypt AI models for secure execution. The second patent presents a flexible and scalable neural network accelerator architecture that leverages custom instruction interfaces and direct memory access (DMA) capabilities within an FPGA. This innovation allows for easy configuration and implementation of various neural network layer accelerators.

Career Highlights

Yee Hui Lee is currently employed at Efinix, Inc., where she continues to develop cutting-edge technologies in the realm of AI and hardware. Her expertise in FPGA design and AI security has positioned her as a key player in her field.

Collaborations

Some of her notable coworkers include Ching Lun Yan and Mohamed Faiz Bin Mohamed Iqbal, with whom she collaborates on various projects aimed at advancing technology in AI and hardware security.

Conclusion

Yee Hui Lee's innovative work in securing AI models and developing neural network accelerators showcases her significant contributions to technology. Her patents reflect her commitment to enhancing the security and efficiency of artificial intelligence applications.