Rochester, MN, United States of America

Thomas P Pitzen


Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2011-2018

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7 patents (USPTO):

Title: The Innovative Genius of Thomas P. Pitzen

Introduction

Thomas P. Pitzen is an accomplished inventor based in Rochester, Minnesota, whose innovative contributions have led to the granting of seven patents. His work primarily revolves around advancements in machine learning and evidence processing, demonstrating his commitment to enhancing technology in meaningful ways.

Latest Patents

Among his most recent patents, two notable inventions stand out. The first is related to "Avoiding supporting evidence processing when evidence scoring does not affect final ranking of a candidate answer." This invention outlines methods to execute selective supporting evidence processing by leveraging a first machine learning (ML) model. It generates a confidence score for a candidate answer without considering supporting evidence. Further, it employs a second ML model to determine the expected contribution of processing supporting evidence, allowing for the decision to bypass it when its contribution is below a specified threshold. This promotes efficiency in machine learning applications.

The second patent echoes similar themes, focusing on systems and computer program products aimed at achieving the same selective processing goals. This innovation showcases Pitzen's foresight in streamlining evidence processing and enhancing the overall efficiency of result ranking systems.

Career Highlights

Throughout his career, Pitzen has been associated with the International Business Machines Corporation (IBM), a company renowned for its groundbreaking work in technology and innovation. His role at IBM encompasses the development and advancement of machine learning algorithms, driving progress in the field through his inventive contributions.

Collaborations

In his professional journey, Thomas has collaborated with notable coworkers such as Michael Britt and Adam Charles Lange-Pearson. Together, they have fostered an environment of shared innovation, enabling the development of pioneering technologies and methodologies that are shaping the future of machine learning and evidence processing.

Conclusion

Thomas P. Pitzen exemplifies the spirit of innovation with his groundbreaking work and multiple patents in machine learning. His dedication to enhancing technology and efficiency underscores his significance as an inventor in today's rapidly advancing landscape. With the continued support of forward-looking organizations like IBM and collaboration with talented individuals, Pitzen is set to achieve even greater milestones in his inventive endeavors.

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