Miami, FL, United States of America

Raul Gonzalez

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.3

ph-index = 2

Forward Citations = 66(Granted Patents)


Location History:

  • El Paso, TX (US) (2002)
  • Miami, FL (US) (2003)
  • Palmdale, CA (US) (2017)
  • San Mateo, CA (US) (2024)

Company Filing History:

goldMedal2 out of 24 
 
Openai Opco, LLC
 patents
silverMedal2 out of 832,680 
Other
 patents
where one patent can have more than one assignee

Years Active: 2002-2025

Loading Chart...
5 patents (USPTO):Explore Patents

Title: Innovator Raul Gonzalez: Pioneering Machine Learning and Automation

Introduction

Raul Gonzalez is an accomplished inventor based in Miami, FL, with a remarkable portfolio that includes four patents. His innovative approach to technology, particularly in the realm of machine learning, has positioned him as a significant contributor to advancements in automated systems and interfaces.

Latest Patents

One of Raul's latest patents entails the use of machine learning to train and implement a model for performing automatic interface actions based on video and input datasets. The patent outlines methods and systems for training a machine learning model to label unlabeled data and execute automated actions. This involves receiving unlabeled digital video data, generating pseudo-labels for it, and training an inverse dynamics model using previously labeled video data. By adding pseudo-labels to the unlabeled data, the model is further refined, enhancing its ability to predict actions in real-time. This innovative approach opens the door for more efficient and intelligent interface designs in various applications.

Career Highlights

Raul has amassed valuable experience in the technology sector, having worked with renowned organizations such as OpenAI Opco, LLC. His work at these companies has fostered an environment of learning and growth, allowing him to hone his skills and contribute to revolutionary projects.

Collaborations

Throughout his career, Raul has worked alongside talented professionals, including Young Paul Yee and Connie Gonzalez. These collaborations have not only enhanced his knowledge but have also resulted in the creation of groundbreaking technologies that push the boundaries of what is possible in the field of automation and machine learning.

Conclusion

Raul Gonzalez continues to be a trailblazer in the field of technology, utilizing his expertise to drive innovation in machine learning and automated systems. With his impressive patent portfolio and collaborative spirit, Raul's contributions are sure to leave a lasting impact on the technology landscape.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…