Shanghai, China

Ling Shen

USPTO Granted Patents = 18 


 

Average Co-Inventor Count = 5.0

ph-index = 3

Forward Citations = 31(Granted Patents)


Company Filing History:


Years Active: 2015-2025

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18 patents (USPTO):

Title: Ling Shen: Innovator in Neural Network and Memory Array Technologies

Introduction

Ling Shen, a talented inventor based in Shanghai, China, has made significant contributions to the fields of neural networks and memory array structures. With a total of 18 patents to his name, he has demonstrated an exceptional ability to innovate and improve upon existing technologies.

Latest Patents

Among his latest patents, Shen has developed a "Single-layered linear neural network based on cell synapse structure," which features a unique arrangement of precursor and posterior resistors, enabling the efficient processing of input voltages and output currents. This structure can reduce the number of resistors required, allowing for easier adjustments of weights between neurons.

Additionally, his innovative "Memory array structure" comprises a matrix of memory devices arranged for optimal performance. This invention allows for simultaneous output of corresponding analog currents based on input signals, thus significantly enhancing the speed and efficiency of operations through various input scales.

Career Highlights

Ling Shen's professional journey includes vital roles at notable companies such as Honeywell International Inc. and Shanghai Tianma Micro-electronics Co., Ltd. His expertise in technology and innovation has led him to achieve a remarkable position in the industry.

Collaborations

Throughout his career, Shen has had the opportunity to collaborate with skilled professionals such as Liqiang Zhang and Ya Qun Liu. Working alongside these colleagues has allowed him to further enhance his skills and contribute to groundbreaking projects in the field of electronics.

Conclusion

In summary, Ling Shen is a distinguished inventor whose latest patents showcase his commitment to advancing technology in neural networks and memory devices. His extensive experience and collaborative spirit make him a key figure in the innovation landscape, with a promising future ahead.

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