San Diego, CA, United States of America

Benjamin J Migliori

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 23(Granted Patents)


Location History:

  • San Diego, CA (US) (2018 - 2022)
  • Santa Fe, NM (US) (2021 - 2023)

Company Filing History:


Years Active: 2018-2023

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6 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Benjamin J Migliori

Introduction

Benjamin J Migliori is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of technology, particularly in the areas of pattern recognition and reinforcement learning. With a total of 6 patents to his name, Migliori continues to push the boundaries of innovation.

Latest Patents

Migliori's latest patents showcase his expertise and creativity. One of his notable inventions is a "Noise-driven coupled dynamic pattern recognition device for low power applications." This device comprises a coupled network of damped, nonlinear, dynamic elements that generate an output response based on environmental conditions. Each element has a multi-stable potential energy function that defines multiple energy states, allowing environmental noise to trigger stochastic resonance between energy levels. The device includes a processor that monitors the output response over time to determine the probability of the device being in a given state, ultimately detecting patterns in environmental conditions.

Another significant patent is the "Method for performing multi-agent reinforcement learning in the presence of unreliable communications via distributed consensus." This system involves a plurality of autonomous agents capable of detecting local parameters. Each agent utilizes a Kalman filter component to establish an environment state based on multiple state measurements over time. The output from the Kalman filter is applied to reinforcement learning by an actor-critic task controller, enabling the agent to determine subsequent actions according to a reward function. Additionally, each agent includes a Kalman consensus filter to address errors in state measurements.

Career Highlights

Migliori works for the USA as represented by the Secretary of the Navy. His role involves developing innovative solutions that enhance operational capabilities. His work is characterized by a commitment to advancing technology and improving systems through inventive approaches.

Collaborations

Migliori has collaborated with notable colleagues, including Daniel J Gebhardt and Michael W Walton. These partnerships have contributed to the development of groundbreaking technologies and have fostered a collaborative environment for innovation.

Conclusion

Benjamin J Migliori's contributions to technology through his patents and collaborative efforts highlight his role as a leading inventor. His work continues to influence advancements in pattern recognition and reinforcement learning, showcasing the importance of innovation in today's technological landscape.

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