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For the Inventor, By the Inventor

San Jose, CA, United States of America

Da-Ming Chiang

USPTO Granted Patents = 13 

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:

goldMedal13 out of 54,750 
 
Intel Corporation
 patents

Years Active: 2019-2025

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13 patents (USPTO):Explore Patents
1. 12499071 - System decoder for training accelerators (2025-12-16),
2. 12217192 - Distributed and contextualized artificial intelligence inference service (2025-02-04),
3. 12038861 - System decoder for training accelerators (2024-07-16),
4. 11586575 - System decoder for training accelerators (2023-02-21),
5. 11580428 - Distributed and contextualized artificial intelligence inference service (2023-02-14),
6. 11494633 - Techniques to manage training or trained models for deep learning applications (2022-11-08),
7. 11468329 - Techniques to manage training or trained models for deep learning applications (2022-10-11),
8. 11269801 - System decoder for training accelerators (2022-03-08),
9. 11263162 - System decoder for training accelerators (2022-03-01),
10. 11250336 - Distributed and contextualized artificial intelligence inference service (2022-02-15),
11. 11164083 - Techniques to manage training or trained models for deep learning applications (2021-11-02),
12. 10403268 - Method and system of automatic speech recognition using posterior confidence scores (2019-09-03),
13. 10339913 - Context-based cancellation and amplification of acoustical signals in acoustical environments (2019-07-02),

Title: Da-Ming Chiang: Innovator in Artificial Intelligence

Introduction

Da-Ming Chiang is a prominent inventor based in San Jose, California, known for his significant contributions to the field of artificial intelligence. With a total of 12 patents to his name, Chiang has been at the forefront of developing innovative technologies that enhance AI capabilities.

Latest Patents

Chiang's latest patents include a "Distributed and contextualized artificial intelligence inference service." This patent describes various systems and methods for initiating and performing contextualized AI inferencing. The operations performed with a gateway computing device involve receiving and processing requests for inferencing operations, selecting implementations of the inferencing model based on contextual data, and executing these models to provide results back to edge devices. Another notable patent is the "System decoder for training accelerators," which outlines an AI system that includes a first hardware platform and a fabric interface to connect multiple training accelerators. This system allows for efficient data sharing between accelerators without the need for processor intervention.

Career Highlights

Chiang is currently employed at Intel Corporation, where he continues to push the boundaries of AI technology. His work has been instrumental in advancing the capabilities of AI systems, making them more efficient and effective in various applications.

Collaborations

Chiang collaborates with talented individuals such as Francesc Guim Bernat and Suraj Prabhakaran, contributing to a dynamic and innovative work environment.

Conclusion

Da-Ming Chiang's contributions to artificial intelligence through his patents and work at Intel Corporation highlight his role as a leading inventor in the tech industry. His innovative approaches continue to shape the future of AI technology.

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