Richard Nock

Title: Richard Nock: Innovator in Data Learning Technologies

Introduction

Richard Nock is a prominent inventor based in Eveleigh, Australia. He has made significant contributions to the field of data learning technologies, holding 2 patents that focus on innovative methods for handling and processing data.

Latest Patents

One of Richard's latest patents is titled "Learning with Transformed Data." This invention relates to the process of determining multiple training samples from various data samples. Each data sample consists of feature values and a label that classifies it. A processor is utilized to randomly select a subset of these data samples, combining their feature values based on their labels. This method allows for the creation of training samples that can be shared with third parties without revealing the actual training data, which is particularly beneficial when dealing with confidential information.

Another notable patent is "Learning from Distributed Data." This invention focuses on determining multiple first training samples from a set of first data samples. Each of these samples includes multiple feature values and a corresponding label. A processor selects a subset of the first data samples, ensuring that the subset contains samples with matching feature values. The resulting training samples can be integrated with samples from other databases that share similar features, eliminating the need for entity matching.

Career Highlights

Richard Nock is currently associated with National ICT Australia Limited, where he continues to develop innovative solutions in data learning. His work has positioned him as a key figure in the advancement of technologies that enhance data processing and analysis.

Collaborations

Richard collaborates with notable colleagues such as Giorgio Patrini and Tiberio Caetano, contributing to a dynamic environment of innovation and research.

Conclusion

Richard Nock's contributions to data learning technologies through his patents demonstrate his commitment to advancing the field. His innovative approaches provide valuable solutions for handling sensitive data while fostering collaboration in research and development.