San Jose, CA, United States of America

Derek Jason Chickles

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Marvell Asia Pte., Ltd.. Active years: 2026.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Derek Chickles - Innovator in Machine Learning and Embedded Systems

Introduction

Derek Chickles is an inventive mind based in San Jose, CA (US). He has made significant strides in the fields of machine learning and embedded systems. Although he currently holds no granted patents, his innovative ideas are reflected in his latest patent applications.

Latest Patent Applications

Derek's latest patent applications include:

1. **METHOD AND SYSTEM FOR IN-LINE DATA CONVERSION AND DATA MANIPULATION** - This application describes a machine learning (ML) hardware that includes a first data format conversion block. This block is designed to receive data generated by an application source in a first data format and convert it into a second data format. The ML hardware also comprises multiple processing units that perform ML operations on the data in the second format, generating processed data. Additionally, it features a second data format conversion block and a transmitting component to output the processed data in a third format for use by an application destination.

2. **SYSTEMS AND METHODS FOR LIVE UPGRADE AND UPDATE OF FIRMWARE ON AN EMBEDDED NETWORKING DEVICE** - This application proposes a new approach for performing live updates or upgrades of firmware on embedded networking devices. The process allows for seamless installation of new firmware versions without resetting the device. During the update, various software applications continue to operate without interruption, ensuring that packet processing operations are maintained throughout the upgrade process.

Conclusion

Derek Chickles is an innovative inventor whose work in machine learning and embedded systems showcases his potential to contribute significantly to these fields. His latest patent applications reflect his commitment to advancing technology and improving device functionality.

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