Santa Clara, CA, United States of America

Lickkong Tam

This inventor holds 4 USPTO granted patents and 5 published patent applications. Top assignee: Nvidia Corporation. Active years: 2025-2026.

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 5.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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4 patents (USPTO):Explore Patents

Title: Lickkong Tam: Innovator in Neural Network Technologies

Introduction

Lickkong Tam is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of neural networks, holding a total of 4 patents. His work focuses on enhancing the capabilities of neural networks through innovative frameworks and techniques.

Latest Patents

Lickkong Tam's latest patents include a "Pretraining framework for neural networks," which involves apparatuses, systems, and techniques to indicate the extent to which text corresponds to one or more images. This invention utilizes neural networks to train and improve their performance. Another notable patent is "Selecting annotations for training images using a neural network," which describes methods for selecting labels of training images to effectively train a network.

Career Highlights

Lickkong Tam is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence technologies. His work at Nvidia has allowed him to push the boundaries of what is possible with neural networks, contributing to advancements in machine learning and artificial intelligence.

Collaborations

Lickkong has collaborated with notable colleagues such as Daguang Xu and Xiaosong Wang. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Lickkong Tam is a key figure in the realm of neural network innovations, with a focus on improving the training and functionality of these systems. His contributions continue to shape the future of artificial intelligence and machine learning.

Profile summary based on public USPTO records.
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