Austin, TX, United States of America

Jun Sawada

This inventor holds 69 USPTO granted patents and 6 published patent applications and 3 EPO patents, primarily in Neural Network Processing (CPC class G06N). Top assignee: International Business Machines Corporation. Active years: 2004-2026.

USPTO Granted Patents = 69 

% Patents Active = 55.1

 

Average Co-Inventor Count = 6.0

ph-index = 7

Forward Citations = 176(Granted Patents)

Forward Citations (Not Self Cited) = 147(Dec 10, 2025)


Inventors with similar research interests:


Company Filing History:


Years Active: 2004-2026

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Areas of Expertise:
Neurosynaptic Processors
Neural Network Cores
Parallel Computational Architecture
Dynamic Precision
Event-Based Neural Networks
Memory-Mapped Interfaces
Error Detection
Low-Precision Computation
Data Distribution
Hierarchical Addressing
Massively Parallel Computing
Yield Tolerance
69 patents (USPTO):Explore Patents

Title: **Innovative Contributions of Jun Sawada in Neural Network Technology**

Introduction

Jun Sawada is a prominent inventor based in Austin, TX, whose work has significantly advanced the field of neural network technology. With an impressive portfolio of 58 patents, his innovations are at the forefront of developing more efficient neural network processors and systems that cater to the growing demands of artificial intelligence applications.

Latest Patents

Among his latest patents, Sawada has focused on "Data Representation for Dynamic Precision in Neural Network Cores." This patent introduces a neural network processor designed to improve computational efficiency by employing varying levels of precision per activation. The processor can accept data in terms of processor feature dimensions and incorporates a transformation circuit to modify input data tensor precision, ultimately optimizing performance across multiple neural cores.

Another key patent involves "Networks for Distributing Parameters and Data to Neural Network Compute Cores." This innovation describes a neural inference chip equipped with multiple neural cores and a sophisticated network for simultaneous data delivery. This advancement has the potential to enhance the speed and efficacy of neural core operations by applying numerous synaptic weights to input activations.

Career Highlights

Jun Sawada's contributions to IBM (International Business Machines Corporation) have been pivotal, as he continues to work at the intersection of technology and innovation. His extensive experience and expertise have positioned him as a critical figure in shaping the future of neural networks, particularly in enhancing the capabilities of computing systems.

Collaborations

Sawada's work is often collaborative, demonstrating the shared effort in pushing technological boundaries. He has worked alongside notable colleagues such as Andrew S. Cassidy and Dharmendra S. Modha, contributing to a dynamic exchange of ideas and expertise that fosters innovative solutions within the company.

Conclusion

With an impressive track record and a commitment to innovation, Jun Sawada exemplifies the impact an inventor can have on technology. His contributions to the field of neural networks not only enhance computational efficiency but also pave the way for future advancements in artificial intelligence. Through his work at IBM and collaborations with talented peers, Sawada continues to inspire and lead in the realm of technological innovation.

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