Company Filing History:
Years Active: 2021-2025
Title: Innovations of Esteban Alberto Real
Introduction
Esteban Alberto Real is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the field of machine learning and neural networks. With a total of three patents to his name, Real is recognized for his innovative approaches to optimizing neural network architectures.
Latest Patents
One of Esteban Alberto Real's latest patents is focused on a method for receiving training data for training a neural network (NN) to perform a machine learning (ML) task. This patent describes a process for determining an optimized NN architecture for performing the ML task. The method includes maintaining population data for each candidate architecture in a population of candidate architectures. This data comprises information defining the candidate architecture and details on how recently a neural network with that architecture has been trained. The process involves repeatedly performing multiple operations using various worker computing units to generate new candidate architectures based on the best-performing candidates, thereby enhancing the overall efficiency of the neural network.
Career Highlights
Esteban Alberto Real is currently employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work has been instrumental in advancing the capabilities of machine learning systems. Real's expertise in neural networks has positioned him as a key player in the tech industry.
Collaborations
Esteban has collaborated with notable colleagues, including Yanping Huang and Alok Aggarwal. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Esteban Alberto Real's contributions to the field of machine learning and neural networks exemplify the spirit of innovation. His patents and work at Google Inc. highlight his commitment to advancing technology and improving the efficiency of neural networks.