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For the Inventor, By the Inventor

Cambridge, MA, United States of America

Paul Nicholas Whatmough

LinkedIn
USPTO Granted Patents = 36 

Average Co-Inventor Count = 2.5

ph-index = 4

Forward Citations = 50(Granted Patents)


Location History:

  • Cambridge, GB (2014 - 2020)
  • Westford, MA (US) (2023)
  • Cambridge, MA (US) (2019 - 2024)

Company Filing History:

goldMedal36 out of 3,529 
 
Arm Limited
 patents

Years Active: 2014-2025

where 'Filed Patents' based on already Granted Patents

36 patents (USPTO):
1. 12481867 - Memory for artificial neural network accelerator (2025-11-25),
2. 12346485 - Error detection in convolutional operations (2025-07-01),
3. 12093808 - Mixed-signal artificial neural network accelerator (2024-09-17),
4. 12086453 - Memory for an artificial neural network accelerator (2024-09-10),
5. 12067373 - Hybrid filter banks for artificial neural networks (2024-08-20),
6. 11928176 - Time domain unrolling sparse matrix multiplication system and method (2024-03-12),
7. 11886972 - Non-volatile memory accelerator for artificial neural networks (2024-01-30),
8. 11823430 - Video data processing (2023-11-21),
9. 11783163 - Hardware accelerator for IM2COL operation (2023-10-10),
10. 11693796 - Multi-dimensional data path architecture (2023-07-04),
11. 11640533 - System, method and apparatus for training neural networks using multiple datasets (2023-05-02),
12. 11586890 - Sparse finetuning for artificial neural networks (2023-02-21),
13. 11561767 - Mixed-precision computation unit (2023-01-24),
14. 11526305 - Memory for an artificial neural network accelerator (2022-12-13),
15. 11501151 - Pipelined accumulator (2022-11-15),

Title: Paul Nicholas Whatmough: Innovator in Artificial Neural Network Technologies

Introduction: Paul Nicholas Whatmough, based in Cambridge, MA, is a prolific inventor with a remarkable portfolio of 34 patents. His groundbreaking work primarily focuses on advancements in artificial neural networks (ANNs), contributing significantly to the fields of digital signal processing and machine learning.

Latest Patents: Among his latest inventions, Paul has developed a Mixed-signal artificial neural network accelerator. This innovative accelerator employs digital controlled oscillators (DCOs), digital-to-time converters (DTCs), and a mixed-signal multiply-and-accumulate (MAC) array. The architecture operates by generating analog operand signals based on digital data values, facilitating enhanced performance in ANN applications. Another noteworthy patent is for a Memory for an ANN accelerator, comprising multiple banks and selectors. This memory design optimizes data storage and retrieval, further enhancing the functionality of artificial neural networks.

Career Highlights: Paul is currently working at Arm Limited, a leading company in semiconductor and software design. His extensive experience and expertise in patents showcase his commitment to driving innovation within the tech industry. His contributions have not only advanced the capabilities of ANN technology but have also positioned him as a prominent figure in the field.

Collaborations: Throughout his career, Paul Nicholas Whatmough has collaborated with esteemed colleagues such as Matthew Mattina and Shidhartha Das. Their collective efforts have led to significant advancements in ANN technology and its applications, further exemplifying the power of collaboration in driving innovations.

Conclusion: Paul Nicholas Whatmough stands as a key innovator in artificial neural networks, with a robust patent portfolio reflecting his contributions to the field. His work at Arm Limited and collaborations with fellow inventors continue to shape the landscape of technology, paving the way for future advancements in machine learning and artificial intelligence.

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