Jing Zhang

Title: Innovations of Jing Zhang in Neural Network Technology

Introduction

Jing Zhang is an accomplished inventor based in Austin, TX (US). She has made significant contributions to the field of neural networks, holding a total of 2 patents. Her work focuses on advanced techniques for manipulating generic tensors, which are crucial in the development of artificial intelligence and machine learning applications.

Latest Patents

Jing Zhang's latest patents include a groundbreaking technique for composable neural network kernels. This technique involves a series of operations on a generic tensor descriptor and its associated raw data. The process begins with receiving a request to perform an operation on the tensor descriptor, followed by executing the operation. Subsequently, a second request is received to perform an operation on the raw data, which includes mapping tensor coordinates to memory addresses. This innovative approach enhances the efficiency and flexibility of neural network operations.

Career Highlights

Jing Zhang is currently employed at Advanced Micro Devices Corporation, where she continues to push the boundaries of technology. Her expertise in neural networks and tensor manipulation has positioned her as a key player in the field. Her contributions are not only recognized within her company but also in the broader tech community.

Collaborations

Jing has collaborated with notable colleagues, including Chao Liu and Daniel I Lowell. These partnerships have fostered an environment of innovation and creativity, leading to advancements in their respective projects.

Conclusion

Jing Zhang's work exemplifies the spirit of innovation in the tech industry. Her patents and contributions to neural network technology are paving the way for future advancements in artificial intelligence.