Dublin, Ireland

Neill Michael Byrne

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.8

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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8 patents (USPTO):

Title: The Innovative Contributions of Neill Michael Byrne

Introduction: Neill Michael Byrne, based in Dublin, Ireland, is a notable inventor with a remarkable portfolio consisting of eight patents. His innovative work primarily focuses on enhancing measurement device performance and machine learning models, significantly contributing to advancements in technology.

Latest Patents: Among his latest patents are groundbreaking methods and systems aimed at predicting measurement device performance. One notable invention includes methods, apparatuses, and computer program products that utilize bidirectional Recurrent Neural Networks (RNN) to generate predictive performance data. This approach encompasses generating a range of encoded input data associated with a measurement device and conducting prediction-based actions informed by the predictive performance data object.

Additionally, Byrne has developed methods involving cross-temporal encoding machine learning models. This innovation enables predictive data analysis operations by utilizing cross-temporal models that map outputs to historical target intervention labels, thus streamlining supervised training without requiring ground-truth data.

Career Highlights: Neill Michael Byrne's career is marked by his dedication to research and innovation within the tech industry. He currently works with Optum Services (Ireland) Limited, where he applies his knowledge and expertise in creating cutting-edge solutions.

Collaborations: Throughout his career, Neill has collaborated with talented professionals, including his coworkers Kieran O'Donoghue and Michael J. McCarthy. Together, they contribute to the dynamic environment at Optum Services, driving forward-thinking solutions in the realm of measurement and data analysis.

Conclusion: Neill Michael Byrne stands out as a significant contributor to the field of technology and machine learning. His eight patents, especially those focused on predictive performance and cross-temporal encoding, reflect his innovative spirit and dedication to improving measurement devices. His work continues to inspire future advancements in the industry.

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