Company Filing History:
Years Active: 2025
Title: Luis Sarmento: Innovator in Neural Network Representations
Introduction
Luis Sarmento is a prominent inventor based in London, GB. He has made significant contributions to the field of neural networks, particularly in the area of efficient binary representations. His innovative work has garnered attention in the tech industry, especially through his association with Google Inc.
Latest Patents
Luis Sarmento holds a patent titled "Efficient binary representations from neural networks." This patent describes a persistent storage system that contains a representation of a neural network, which includes an input layer, an output layer, and a hidden layer. The nodes of the hidden layer incorporate serialized activation functions, which include both a sigmoid function and a Beta function. The sigmoid function is applied to weighted outputs from nodes of a previous layer, while the Beta function is applied to a conductance hyper-parameter and the respective outputs of the sigmoid function. The outputs of the Beta function are then provided to a subsequent layer of the neural network. This innovative approach aims to train the neural network until the outputs of the sigmoid function for the nodes of the hidden layer are substantially binary. Luis Sarmento has 1 patent to his name.
Career Highlights
Throughout his career, Luis has been recognized for his expertise in neural networks and machine learning. His work at Google Inc. has positioned him as a key player in advancing technology in these fields. His innovative ideas and research have contributed to the development of more efficient algorithms and systems.
Collaborations
Luis Sarmento has collaborated with various professionals in the tech industry, including his coworker Ryan Mcdonald. These collaborations have allowed him to enhance his research and bring innovative solutions to the forefront of technology.
Conclusion
Luis Sarmento is a notable inventor whose work in neural networks has paved the way for advancements in efficient binary representations. His contributions continue to influence the tech industry and inspire future innovations.