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For the Inventor, By the Inventor

Seattle, WA, United States of America

Jeremy Halden Fowers

USPTO Granted Patents = 19 

 

Average Co-Inventor Count = 3.4

ph-index = 5

Forward Citations = 101(Granted Patents)


Location History:

  • Gainesville, FL (US) (2016)
  • Redmond, WA (US) (2022)
  • Seattle, WA (US) (2017 - 2023)

Company Filing History:

goldMedal19 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2016-2025

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19 patents (USPTO):
1. 12307355 - Neural network processing with chained instructions (2025-05-20),
2. 12124391 - Semi-programmable and reconfigurable co-accelerator for a deep neural network with normalization or non-linearity (2024-10-22),
3. 11734214 - Semi-programmable and reconfigurable co-accelerator for a deep neural network with normalization or non-linearity (2023-08-22),
4. 11663450 - Neural network processing with chained instructions (2023-05-30),
5. 11556764 - Deriving a concordant software neural network layer from a quantized firmware neural network layer (2023-01-17),
6. 11556762 - Neural network processor based on application specific synthesis specialization parameters (2023-01-17),
7. 11243778 - Instruction dispatch for superscalar processors (2022-02-08),
8. 11157801 - Neural network processing with the neural network model pinned to on-chip memories of hardware nodes (2021-10-26),
9. 11151445 - Neural network processor with a window expander circuit (2021-10-19),
10. 11144820 - Hardware node with position-dependent memories for neural network processing (2021-10-12),
11. 11132599 - Multi-function unit for programmable hardware nodes for neural network processing (2021-09-28),
12. 10795678 - Matrix vector multiplier with a vector register file comprising a multi-port memory (2020-10-06),
13. 10467324 - Data packing techniques for hard-wired multiplier circuits (2019-11-05),
14. 10372456 - Tensor processor instruction set architecture (2019-08-06),
15. 10338925 - Tensor register files (2019-07-02),

Title: **Jeremy Halden Fowers: Innovator in Neural Network Processing**

Introduction

Jeremy Halden Fowers is a notable inventor based in Seattle, WA. He has made significant contributions to the field of neural network processing, holding 19 patents to his name. His work primarily focuses on enhancing hardware and methods for advanced computational tasks associated with deep learning technologies.

Latest Patents

Among his impressive portfolio, Jeremy's latest patents include innovative concepts that push the boundaries of neural network capabilities. One of his patents describes a method for neural network processing with chained instructions. This involves a hardware node that features a pipeline with a matrix vector unit (MVU) and a series of multifunction units that work together without storing interim results in a global register. Jeremy’s approach allows for more efficient computation, enabling the hardware to perform specialized instructions effectively.

Another noteworthy patent is for a semi-programmable and reconfigurable co-accelerator for deep neural networks. This invention utilizes a configurable stacked architecture designed for fixed function datapaths, which accelerates operations or layers of deep neural networks. This adaptability allows the architecture to customize functions based on the specific needs of various DNN operations, significantly enhancing processing efficiency.

Career Highlights

Jeremy is employed at Microsoft Technology Licensing, LLC, where he continues to pursue cutting-edge innovations in technology. His experience and expertise in neural network processing position him as a leader in this rapidly evolving field.

Collaborations

During his career, Jeremy has collaborated with esteemed colleagues such as Eric S. Chung and Kalin Ovtcharov. These collaborations have further enriched the development of his inventions, showcasing the importance of teamwork in driving technological advancements.

Conclusion

With a robust portfolio of patents and a commitment to innovation, Jeremy Halden Fowers stands out as a key figure in neural network processing. His contributions at Microsoft Technology Licensing, LLC, and beyond will undoubtedly influence the future of artificial intelligence and deep learning.

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