Won Rhee

Title: **Innovative Visionary: The Patents of Won Rhee**

Introduction

Won Rhee, an accomplished inventor based in Los Altos, California, has made significant contributions to the field of integrated circuits and neural networks. With a total of two granted patents, Rhee's work showcases innovative methods that enhance the operational efficiency of neural networks.

Latest Patents

Rhee's latest patents include:

1. **Allocating Blocks of Unified Memory for Integrated Circuit Executing Neural Network** – This patent outlines a method that receives specifications of a neural network for execution by an integrated circuit. This circuit incorporates a neural network inference circuit for generating outputs based on inputs, with a unified memory accessed by various components. The method intelligently allocates portions of memory to optimize processing capabilities.

2. **Buffering of Neural Network Inputs and Outputs** – In this invention, Rhee presents a method for executing a neural network where a first input is written to a physical memory bank in unified memory shared by input processing and inference circuits. This allows the neural network to execute efficiently by buffering additional inputs while producing outputs concurrently.

Career Highlights

Throughout his career, Won Rhee has worked at notable companies including Perceive Corporation and Amazon Technologies, Inc. His experience in these leading organizations has enabled him to contribute meaningfully to advancements in technology, particularly in neural network processing.

Collaborations

Rhee has collaborated with talented individuals such as Jung Ko and Kenneth Duong, which highlights the collaborative nature of innovation in technological development. These partnerships have likely played a crucial role in shaping his patents and overall contributions to the field.

Conclusion

With a strong focus on advancing the technology behind neural networks, Won Rhee continues to push the boundaries of innovation. His patents reflect a commitment to enhancing efficiency in integrated circuits, setting a precedent for future developments in artificial intelligence and machine learning applications. Rhee’s contributions undoubtedly mark him as a key player in the evolution of tech-driven innovations.