Company Filing History:
Years Active: 2022
Title: Innovations by Carrie Inez Hernandez
Introduction
Carrie Inez Hernandez is a prominent inventor based in Long Beach, California. She has made significant contributions to the field of technology, particularly in the area of neural networks. With a total of 2 patents to her name, her work focuses on enhancing the capabilities of electronic devices through advanced methodologies.
Latest Patents
Hernandez's latest patents include groundbreaking methods that utilize adaptive neural networks. One of her notable inventions is a method for selecting a neural network to extract particular results from image data. This method involves receiving image data, manipulating it based on transform parameters, and analyzing the data to generate metadata that describes the image. The selected neural network then performs a second analysis to extract valuable information from the image data.
Another significant patent by Hernandez is related to modifying the loss function in a neural network. This method trains a neural network using a specific image dataset and truth dataset, allowing the network to analyze a second dataset without penalizing it for certain predictions. This innovative approach enhances the efficiency and accuracy of neural network training and analysis.
Career Highlights
Carrie Inez Hernandez is currently employed at Slingshot Aerospace, Inc., where she continues to develop her innovative ideas. Her work at the company focuses on advancing aerospace technologies through the application of her patented methods. Hernandez's contributions have positioned her as a key figure in her field, driving forward the capabilities of neural networks in practical applications.
Collaborations
Some of her notable coworkers include David Stuart Godwin, Iv, and Thomas Scott Ashman. Their collaborative efforts contribute to the innovative environment at Slingshot Aerospace, Inc., fostering advancements in technology.
Conclusion
Carrie Inez Hernandez is a trailblazer in the field of neural networks, with her patents reflecting her commitment to innovation. Her work not only enhances electronic devices but also paves the way for future advancements in technology.