This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Geoffrey Gerson Zweig: Innovator in Data Localization and Classification
Introduction
Geoffrey Gerson Zweig is a notable inventor based in Scarsdale, NY (US). He has made significant contributions to the field of data processing and neural networks. His innovative work focuses on systems and methods for localization and classification of content in a data set.
Latest Patents
Geoffrey holds a patent for "Systems and methods for localization and classification of content in a data set." This patent discloses a system, method, and device designed to localize and classify content within a data set. The device provides a sequence of portions of a data set to a neural network, generating a plurality of activations. Each activation includes at least one value from a layer of the neural network. An attention vector is applied to each activation to generate a sequence of values, followed by a normalization function that produces attention scores. The device can then identify or localize portions in the data set based on these attention scores. Geoffrey has 1 patent to his name.
Career Highlights
Geoffrey is currently employed at Meta Platforms, Inc., where he continues to develop innovative solutions in data processing. His work has been instrumental in advancing the capabilities of neural networks in content classification.
Collaborations
Geoffrey has collaborated with talented individuals such as Prahal Arora and Gourab Kundu, contributing to various projects and enhancing the innovation landscape in his field.
Conclusion
Geoffrey Gerson Zweig is a prominent figure in the realm of data localization and classification, with a focus on leveraging neural networks for improved content processing. His contributions continue to shape the future of technology in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
