Cambridge, MA, United States of America

Paul Nicholas Whatmough

This inventor holds 42 USPTO granted patents and 19 published patent applications, primarily in Neural Network Acceleration. Top assignee: Arm Limited. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul Nicholas Whatmough. Retrieved from https://idiyas.com/inventor/paul-nicholas-whatmough

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 42 

% Patents Active = 100.0

Average Co-Inventor Count = 2.5

ph-index = 4

Forward Citations = 65(Granted Patents)


Location History:

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

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
Neural Network
Memory Accelerator
Video Data Processing
Mixed-Signal
Error Detection
Matrix Operations
Data Manipulation
Sparse Matrix
Computer Vision
Hybrid Filter Banks
Pipelined Accumulator
Systolic Convolution
42 patents (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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