This inventor holds 2 USPTO granted patents and 2 published patent applications and 2 EPO patents. Top assignee: Intel Corporation. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Innovations of Fernando Latorre in Artificial Neural Networks
Introduction
Fernando Latorre is an accomplished inventor based in Cambridge, GB. He has made significant contributions to the field of artificial intelligence, particularly in the area of artificial neural networks. His innovative work has led to the development of a unique method and apparatus that enhances distributed and cooperative computation.
Latest Patents
Fernando Latorre holds a patent for a "Method and apparatus for distributed and cooperative computation in artificial neural networks." This patent describes an apparatus that includes an input/output (I/O) interface and multiple processing units. These processing units are designed to receive data for input neurons and associated synaptic weights. They process this data to generate partial results, which can be shared among the processing units to produce final results. This innovative approach allows for more efficient computation in neural networks.
Career Highlights
Fernando Latorre is currently employed at Intel Corporation, where he continues to push the boundaries of technology. His work at Intel has allowed him to collaborate with other talented individuals in the field, further enhancing his contributions to artificial intelligence.
Collaborations
Some of Fernando's notable coworkers include Frederico C Pratas and Ayose J Falcon. Their collaborative efforts have played a crucial role in advancing the research and development of artificial neural networks.
Conclusion
Fernando Latorre's innovative work in artificial neural networks exemplifies the potential of technology to transform computation. His contributions are paving the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
