This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Kabushiki Kaisha Toshiba. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Albert Rodriguez Mulet
Introduction
Albert Rodriguez Mulet is a notable inventor based in Kawasaki, Kanagawa, Japan. He has made significant contributions to the field of learning apparatus and methods, holding a total of 2 patents. His work focuses on enhancing neural network models, which are crucial in various technological applications.
Latest Patents
Among his latest patents, one describes a learning apparatus that includes a processor designed to train a neural network model with multiple pathways. This processor not only generates a trained model but also performs pruning to calculate the number of remaining parameters in each pathway. It generates a candidate model for reconstruction by deleting pathways that do not meet a certain threshold. Furthermore, the processor assesses the possibility of deleting additional pathways, subjecting the candidate model to training, pruning, and generating processes. Another patent outlines a learning apparatus where the processor performs adaptation processing on a neural network model. This includes either the insertion or correction of an activation function, leading to the generation of a trained model. The trained model undergoes pruning to create a reconstructed model with reduced parameters.
Career Highlights
Albert Rodriguez Mulet is currently employed at Kabushiki Kaisha Toshiba, a leading technology company. His role involves developing innovative solutions that leverage advanced neural network techniques. His contributions have been instrumental in pushing the boundaries of learning technologies.
Collaborations
He has collaborated with notable coworkers such as Shuhei Nitta and Ryusuke Hirai, who share a commitment to advancing technology through innovative research and development.
Conclusion
Albert Rodriguez Mulet's work exemplifies the intersection of innovation and technology, particularly in the realm of neural networks. His patents reflect a deep understanding of learning apparatuses, contributing to the evolution of intelligent systems.