Chiayi, Taiwan

Freddie H Huang

This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Freddie H Huang. Retrieved from https://idiyas.com/inventor/freddie-h-huang

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


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Freddie H Huang

Introduction

Freddie H Huang is a notable inventor based in Chiayi, Taiwan. He has made significant contributions to the field of artificial intelligence, particularly in the area of convolutional neural networks. His work focuses on enhancing the classification of time series data, which has important applications across various industries.

Latest Patents

Freddie H Huang holds a patent for a "Dynamic context-selective convolutional neural network for time series data classification." This innovative convolutional neural network utilizes dynamic context selection to improve the accuracy of classifying time series data. The method involves receiving multiple inputs of varying sizes, applying convolution and pooling techniques, and reshaping the outputs to a uniform size for further processing.

Career Highlights

Freddie is currently employed at Intel Corporation, where he continues to push the boundaries of technology and innovation. His work at Intel has allowed him to collaborate with some of the brightest minds in the industry, contributing to advancements in machine learning and data processing.

Collaborations

Freddie has worked alongside talented colleagues such as Omar Florez and Jonathan J Huang. Their collaborative efforts have fostered an environment of innovation and creativity, leading to groundbreaking developments in their respective fields.

Conclusion

Freddie H Huang's contributions to the field of artificial intelligence and his innovative patent demonstrate his commitment to advancing technology. His work not only enhances the capabilities of convolutional neural networks but also paves the way for future innovations in data classification.

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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