Seattle, WA, United States of America

Margaret Grace Drouhard


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 22(Granted Patents)


Location History:

  • Knoxville, TN (US) (2017)
  • Seattle, WA (US) (2021)

Company Filing History:


Years Active: 2017-2021

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2 patents (USPTO):Explore Patents

Title: Innovations of Margaret Grace Drouhard

Introduction

Margaret Grace Drouhard is a notable inventor based in Seattle, WA (US). She has made significant contributions to the field of artificial neural networks, with a focus on neuroscience-inspired technologies. Her work has led to the development of innovative methods and apparatuses that enhance our understanding of neural pathways.

Latest Patents

Margaret Grace Drouhard holds 2 patents. Her latest patents include a method and apparatus for constructing a neuroscience-inspired artificial neural network with visualization of neural pathways. This invention comprises a dynamic architecture and a neural network array associated with neural tissue, such as the brain. The special purpose display processor outputs a display over selected reference time units to demonstrate neural pathways in three-dimensional space. This technology can be utilized to classify hand-written digits or recognize patterns in grid images.

Career Highlights

Drouhard is affiliated with the University of Tennessee Research Foundation, where she continues to advance her research in artificial intelligence and neural networks. Her work is pivotal in bridging the gap between neuroscience and artificial intelligence, providing valuable insights into how neural networks can be modeled and visualized.

Collaborations

Some of her notable coworkers include Mark Edward Dean and Catherine Dorothy Schuman. Their collaborative efforts contribute to the innovative research environment at the University of Tennessee Research Foundation.

Conclusion

Margaret Grace Drouhard's contributions to the field of artificial neural networks exemplify the intersection of neuroscience and technology. Her innovative patents and ongoing research continue to push the boundaries of what is possible in understanding and modeling neural pathways.

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