Bialystok, Poland

Amadeusz Masny

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2023.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Amadeusz Masny: Innovator in Machine Learning Data Reduction

Introduction

Amadeusz Masny is a notable inventor based in Bialystok, Poland. He has made significant contributions to the field of machine learning, particularly in the area of data training. His innovative approach focuses on optimizing the training data required for machine learning models.

Latest Patents

Masny holds a patent for a method, computer system, and computer program product aimed at providing reduced training data for training a machine learning model. This invention involves generating reduced training data based on initial batches of original training data. The process includes creating an updated version of the reduced training data that adheres to storage limitations while ensuring efficiency in the training process. His patent is a valuable asset in the realm of machine learning, enhancing the capabilities of ML-models.

Career Highlights

Amadeusz Masny is currently associated with International Business Machines Corporation (IBM), where he applies his expertise in machine learning and data optimization. His work at IBM allows him to collaborate with leading professionals in the technology sector, contributing to innovative solutions that address complex challenges in data management.

Collaborations

Masny has worked alongside talented colleagues such as Lukasz Grzegorz Cmielowski and Daniel Jakub Ryszka. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies in machine learning.

Conclusion

Amadeusz Masny's contributions to machine learning through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances the efficiency of training data but also positions him as a key figure in the field of artificial intelligence.

Profile summary based on public USPTO records.
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