Logan Parker

Title: Logan Parker and Positionless Media Encoding

Introduction

Logan Parker is an inventor based in New York, New York. His patent work addresses how machine-learning systems can analyze media when the items have no meaningful order or position. Parker is associated with CoreLogic Solutions, LLC.

Latest Patents

Parker is named on 1 patent, titled “Positionless Encoding for Classification and Analysis.” The patent describes a system that receives a request to identify information associated with multiple media items. It generates a multimedia embedding containing information from each item, then uses a machine-learning model to determine the requested information. The model is designed to process unordered, positionless media and may be acausal, preventing it from assigning an order or position to part of the embedding.

Career Highlights

Parker’s listed patent reflects work on machine-learning methods for classifying and analyzing collections of media without relying on sequence or positional relationships. This approach is intended to support analysis when the arrangement of the media items is not relevant.

Collaborations

Parker’s listed coworkers include Taylor Bryant Brown and Alireza Abdihamzehkolaei. His association with CoreLogic Solutions, LLC connects his patent work to a company active in technology and data-related services.

Conclusion

Logan Parker’s patent focuses on enabling machine-learning systems to analyze unordered media while avoiding assumptions about item sequence or position.