Rustburg, VA, United States of America

Daniel M Davenport



 

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • Somerdale, NJ (US) (2015)
  • Rustburg, VA (US) (2019)

Company Filing History:


Years Active: 2015-2019

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Daniel M. Davenport

Introduction

Daniel M. Davenport is a notable inventor based in Rustburg, Virginia. He has made significant contributions to the field of technology, particularly in the areas of quantum computing and cultural analysis through text. With a total of 2 patents, Davenport's work reflects a deep understanding of complex systems and their applications.

Latest Patents

Davenport's latest patents include groundbreaking innovations such as "Quantum-assisted training of neural networks." This patent outlines a method for configuring a Quantum Annealing (QA) device, which consists of multiple qubits and couplers. The method involves mapping nodes of a neural network to qubits in the QA device, thereby enhancing the efficiency of neural network training. Another significant patent is "Identifying cultural background from text," which describes a process for analyzing text to determine its cultural context. This involves tokenizing words according to a specific rule set and comparing the results to a training data set to identify cultural matches.

Career Highlights

Davenport is currently employed at Lockheed Martin Corporation, where he applies his innovative ideas to real-world challenges. His work at this prestigious company allows him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Steven H. Adachi and Maxwell P. Henderson. Their collaborative efforts contribute to the advancement of technology and innovation within their projects.

Conclusion

Daniel M. Davenport exemplifies the spirit of innovation through his patents and contributions to technology. His work not only advances the field of quantum computing but also enhances our understanding of cultural dynamics through text analysis.

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