This inventor holds 1 USPTO granted patent. Top assignee: Nestor, Inc.. Active years: 1995.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1995
Title: Innovations in Neural Networks: The Contributions of Linda I Nunez
Introduction
Linda I Nunez is an accomplished inventor based in North Kingstown, Rhode Island. With a keen focus on neural networks, she has made significant contributions in the field of adaptive classification. As a result of her innovative work, Nunez holds a patent that reflects her expertise and forward-thinking approach to technology.
Latest Patents
Nunez's notable patent, titled "Method and apparatus for adaptive classification," introduces a groundbreaking neural network and a method that enhances pipeline operations within a neural network. This invention enables the rapid classification of input vectors, and it details a training mode where multiple training input features are presented to the neural network. During this process, distances between the training features and prototype weight values are computed concurrently. Furthermore, in response to the completion of training epochs, the weight values are stored in memory, allowing the neural network to operate effectively in a probabilistic classification mode.
Career Highlights
Linda I Nunez has made her mark as an inventive force in her field, particularly through her work at Nestor, Inc. Within this innovative environment, she has been able to develop and refine her ideas, contributing to groundbreaking advancements in neural networks and intelligent classification systems.
Collaborations
Nunez works alongside talented individuals, including her coworkers Michael T Glier and Christopher L Scofield. Their collaborative efforts contribute to a rich exchange of ideas, enhancing both the innovation process and final outcomes in their projects.
Conclusion
Linda I Nunez's contributions to the field of neural networks are noteworthy and impactful. With her patent advancing the method and apparatus for adaptive classification, she stands as a testament to the power of innovation and collaboration in technology. Her work continues to inspire and pave the way for further advancements in artificial intelligence and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile