Mountain View, CA, United States of America

Pengchong Jin

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.9

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: The Innovative Mind of Pengchong Jin: A Pioneering Inventor in Machine Learning

Introduction: Pengchong Jin, an accomplished inventor based in Mountain View, CA, has made significant contributions to the field of machine learning. With a focus on enhancing model accuracy and computational efficiency, Jin has garnered attention for his innovative approach to machine learning architecture.

Latest Patents: Jin holds a patent for a groundbreaking invention titled "Scale-permuted machine learning architecture." This patent describes a computer-implemented method that generates scale-permuted models. These models not only provide improved accuracy but also reduce evaluation computational requirements. The methodology involves defining a search space that includes a variety of candidate permutations of feature blocks, along with their respective scales. Jin's system performs multiple search iterations through a sophisticated algorithm to select the most effective scale-permuted model.

Career Highlights: As an inventor at Google Inc., Jin has established himself as a forward-thinking contributor within the machine learning community. His work emphasizes practical applications and theoretical advancements, with a strong commitment to optimizing machine learning processes. The patent he developed exemplifies the intersection of technology and innovation, showcasing his ability to address contemporary challenges in data evaluation.

Collaborations: Throughout his career, Jin has collaborated with notable coworkers, including Xianzhi Du and Yin Cui. These partnerships have fostered a creative environment that encourages the sharing of ideas and the development of pioneering solutions in the realm of artificial intelligence and machine learning.

Conclusion: Pengchong Jin's contributions to the field of machine learning through his patent for scale-permuted architecture illustrate his role as a key inventor at Google Inc. His innovative methods are likely to influence future developments in machine learning, paving the way for more efficient data processing solutions. Jin's relentless pursuit of knowledge and improvement underscores the importance of innovation in technology.

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