Brooklyn, NY, United States of America

Thomas Mieczyslaw Kwiatkowski


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Thomas Mieczyslaw Kwiatkowski: Innovator in Neural Network Applications

Introduction

Thomas Mieczyslaw Kwiatkowski is a notable inventor based in Brooklyn, NY (US). He has made significant contributions to the field of technology, particularly in the area of neural networks. His innovative work has led to the development of a patent that enhances the way electronic documents are processed and understood.

Latest Patents

Kwiatkowski holds a patent for a method titled "Selecting answer spans from electronic documents using neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting a text span from an input electronic document that answers an input question. The process involves obtaining numeric representations of text spans, determining question-aware segment vectors, and processing these elements through a feedforward neural network to generate a final score for unique text spans.

Career Highlights

Currently, Kwiatkowski is employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work focuses on applying advanced neural network techniques to improve information retrieval from electronic documents. His contributions are vital in enhancing user experience and efficiency in data processing.

Collaborations

Throughout his career, Kwiatkowski has collaborated with talented individuals such as Ankur P Parikh and Swabha Swayamdipta. These collaborations have fostered an environment of innovation and creativity, leading to groundbreaking advancements in their respective fields.

Conclusion

Thomas Mieczyslaw Kwiatkowski is a prominent figure in the realm of technology and innovation. His patent and work at Google Inc. exemplify his commitment to advancing the capabilities of neural networks in processing electronic documents. His contributions are shaping the future of technology and enhancing the way we interact with information.

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