Walter Parish Gililland, Jr

Title: Walter Parish Gililland, Jr: Innovator in Learning Automation

Introduction

Walter Parish Gililland, Jr. is an accomplished inventor based in Aurora, CO (US). He has made significant contributions to the field of learning automation, showcasing his innovative spirit through his patent.

Latest Patents

Walter holds a patent for a "Learning automaton and low-pass filter having a pass band that widens over time." This invention involves a learning automaton that can be trained to merge data from various input data streams, which may operate at different data rates, into a single output data stream. The learning automaton is designed to learn over time from these input data streams. Additionally, the input data streams can be low-pass filtered to suppress data with frequencies exceeding a time-varying cutoff frequency. Initially, the cutoff frequency is set relatively low to ensure that high data-rate data does not overwhelm low data-rate data. As the learning automaton learns, its entropy changes more slowly, allowing the cutoff frequency to increase over time. Once the entropy stabilizes, the training is complete, enabling the learning automaton to process all input data streams unfiltered.

Career Highlights

Walter is currently employed at Raytheon Company, where he continues to apply his expertise in innovative technologies. His work at Raytheon has allowed him to contribute to advancements in automation and data processing.

Collaborations

Walter has collaborated with notable coworkers, including Marcus Alton Teter and Natalie Rae Plotkin. Their combined efforts in the field of learning automation have fostered a creative environment that encourages innovation.

Conclusion

Walter Parish Gililland, Jr. is a notable inventor whose work in learning automation has the potential to transform data processing methodologies. His patent reflects a deep understanding of automation and data integration, marking him as a significant figure in his field.