Southborough, MA, United States of America

Shijun Li


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Shijun Li: Innovator in AI Accelerator Technology

Introduction

Shijun Li is a prominent inventor based in Southborough, MA (US). He has made significant contributions to the field of integrated circuit technology, particularly in the development of AI accelerators. With a total of 2 patents, his work is paving the way for advancements in artificial intelligence applications.

Latest Patents

One of Shijun Li's latest patents is an AI accelerator integrated circuit chip with an integrated cell-based fabric adapter. This innovative integrated circuit can be formed on either a single semiconductor die or multiple semiconductor dies integrated into a single package. The design includes a communication interface featuring a serializer/deserializer (SerDes) interface, a fabric adapter that is communicatively coupled to the communication interface, and several inference engine clusters. Each inference engine cluster comprises a respective memory element and/or memory interface. The data interconnect facilitates communication between the memory elements and the fabric adapter, enabling remote direct memory access (RDMA) read and write services, as well as datagram communication over a cell-based switch fabric.

Career Highlights

Shijun Li is currently employed at Recogni Inc., where he continues to innovate in the field of AI technology. His work focuses on enhancing the efficiency and performance of integrated circuits, which are crucial for modern computing applications.

Collaborations

Shijun has collaborated with notable colleagues, including Gary S Goldman and Ramalingam K Anand. Their combined expertise contributes to the advancement of technology in their respective fields.

Conclusion

Shijun Li is a key figure in the development of AI accelerator technology, with a focus on integrated circuit innovations. His contributions are instrumental in shaping the future of artificial intelligence applications.

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