Company Filing History:
Years Active: 2020-2024
Title: Innovations of Bryan Perozzi
Introduction
Bryan Perozzi is an accomplished inventor based in Cranford, NJ (US). He has made significant contributions to the field of technology, particularly in the area of neural networks. With a total of six patents to his name, Perozzi's work has garnered attention for its innovative approaches to graph processing and electronic resource interaction.
Latest Patents
One of Perozzi's latest patents is focused on representing graph edges using neural networks. This patent outlines methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for a graph processing system. The system processes numeric embeddings of nodes to generate manifold coordinates and applies a learned edge function to produce an edge score that indicates the likelihood of a relationship between entities represented by the nodes.
Another notable patent involves training and utilizing a recurrent neural network model to determine subsequent sources for electronic resource interaction. This invention relates to systems and methods that analyze a sequence of sources interacting with a given electronic resource. The output generated by the trained model indicates the probability of additional sources interacting with the resource, which can inform further electronic actions.
Career Highlights
Bryan Perozzi is currently employed at Google Inc., where he continues to push the boundaries of technology through his innovative work. His expertise in neural networks and graph processing has positioned him as a key contributor in his field.
Collaborations
Perozzi has collaborated with notable colleagues, including Rami Al-Rfou′ and Sami Ahmad Abu-El-Haija. These collaborations have further enriched his research and development efforts, leading to advancements in their shared areas of interest.
Conclusion
Bryan Perozzi's contributions to technology through his patents and work at Google Inc. highlight his role as a leading inventor in the field of neural networks. His innovative approaches continue to influence the landscape of technology and inspire future advancements.