White Plains, NY, United States of America

Jui-Hsin Lai

USPTO Granted Patents = 28 

Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 58(Granted Patents)


Location History:

  • San Jose, CA (US) (2018)
  • Yorktown Heights, NY (US) (2021)
  • White Plains, NY (US) (2017 - 2023)

Company Filing History:


Years Active: 2017-2023

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28 patents (USPTO):

Title: **Jui-Hsin Lai: Innovator in SRAM Technology**

Introduction

Jui-Hsin Lai, based in White Plains, NY, is a notable inventor renowned for his contributions to the field of technology, particularly in the development of Static Random Access Memory (SRAM) within binary neural networks. With a remarkable portfolio of 28 patents, Lai has effectively influenced advancements in computational architecture.

Latest Patents

Among Lai's latest patents is a groundbreaking invention entitled "Inference focus for offline training of SRAM inference engine in binary neural network." This patent describes an SRAM device equipped with an inference engine characterized by a specific computation architecture. The architecture comprises multiple SRAM cells arranged in a chain formation, where the output of one cell directly serves as the input to the next. The device is designed to compute predictions from incoming data, efficiently handling ternary data and executing local computations.

Career Highlights

Jui-Hsin Lai contributes his expertise to the International Business Machines Corporation (IBM), where he plays a significant role in driving innovation. His tenure at IBM is marked by his relentless pursuit of improving memory technology, particularly how SRAM can enhance artificial intelligence applications.

Collaborations

Throughout his career, Lai has collaborated with proficient colleagues, including Li-Wen Hung and Yinglong Xia. These collaborations foster a productive environment for innovation, allowing for the exchange of ideas and insights that push the boundaries of existing technology.

Conclusion

Jui-Hsin Lai is a prominent figure in the landscape of technology innovation, with his extensive patent portfolio underscoring his impact on SRAM technology in binary neural networks. His work not only highlights his individual accomplishments but also exemplifies the collaborative spirit that drives the field forward.

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