Boulder, CO, United States of America

Matthew Pufall

This inventor holds 1 USPTO granted patent. Top assignee: Government of the United States of America, as Represented by the Secretary of Commerce. Active years: 2019.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Matthew Pufall: Innovator in Neural Technology

Introduction

Matthew Pufall is a notable inventor based in Boulder, Colorado. He has made significant contributions to the field of neural technology, particularly with his innovative patent that explores the intricacies of neural networks and memory.

Latest Patents

Pufall holds a patent titled "Neural member, neural network, and neurological memory." This invention features a neural member that includes an axonal superconducting electrode and a dendritical superconducting electrode positioned opposite each other. A synaptic barrier, interposed between these electrodes, contains a plurality of magnetic clusters. This synaptic barrier acts as a tunable magnetic barrier, allowing for dynamic reconfiguration between ordered and disordered magnetic states. The arrangement of these components forms a dynamically reconfigurable Josephson junction, showcasing Pufall's innovative approach to neural technology. He has 1 patent to his name.

Career Highlights

Matthew Pufall is currently employed by the Government of the United States of America, as Represented by the Secretary of Commerce. His work focuses on advancing technologies that can have profound implications in various fields, including neuroscience and artificial intelligence.

Collaborations

Pufall has collaborated with notable colleagues such as Michael Schneider and William Rippard. Their combined expertise contributes to the innovative projects they undertake in the realm of neural technology.

Conclusion

Matthew Pufall stands out as an inventor whose work in neural technology is paving the way for future advancements. His contributions are significant in understanding and developing neural networks and memory systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…