Chelmsford, MA, United States of America

Michael Newey

This inventor holds 1 USPTO granted patent. Top assignee: Massachusetts Institute of Technology. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Newey. Retrieved from https://idiyas.com/inventor/michael-newey-2dcylnu7

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Michael Newey - Innovator in Neural Network Technology

Introduction

Michael Newey is a prominent inventor based in Chelmsford, MA (US). He has made significant contributions to the field of neural networks, particularly in the area of signal processing. His innovative approach focuses on enhancing the quality of data signals by effectively removing noise.

Latest Patents

Michael Newey holds a patent for "Neural network systems and methods for removing noise from signals." This patent describes a neural network that is utilized to eliminate noise from data signals. The neural network compares the noise it removes to simulated noise that is expected to be present in the data signal. The results of this comparison are then used to train the neural network, improving its capability to filter out noise from the data signal. He has 1 patent to his name.

Career Highlights

Michael Newey is affiliated with the Massachusetts Institute of Technology, where he continues to push the boundaries of technology and innovation. His work has garnered attention for its practical applications in various fields, including telecommunications and data analysis.

Collaborations

Michael collaborates with Prafull Sharma, a fellow innovator in the field. Their combined expertise contributes to advancements in neural network technology and its applications.

Conclusion

Michael Newey's work in neural networks exemplifies the potential of technology to improve data processing. His innovative patent and collaboration with other experts highlight his commitment to advancing the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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