This inventor holds 4 USPTO granted patents and 3 published patent applications. Top assignees: General Electric Company, Ge-Hitachi Nuclear Energy Americas LLC. Active years: 2004-2026.
Company Filing History:
3 out of 52,359 
1 out of 307 Years Active: 2004-2026
Title: Helena Goldfarb: Innovator in Machine Learning Technologies
Introduction
Helena Goldfarb is a prominent inventor based in Niskayuna, NY (US). She has made significant contributions to the field of machine learning, holding a total of 4 patents. Her work focuses on developing innovative solutions that address complex industrial problems through advanced technology.
Latest Patents
Goldfarb's latest patents include "Machine learning templates in a machine learning framework." This invention provides a system and method to create a template associated with an industrial problem. The method involves receiving one or more kernels from a machine learning library, which are then aggregated into a template by a processor. This template is integrated into a user interface for execution. Another notable patent is "Multimodal, small and big data, machine tearing systems and processes." This invention outlines systems and methods for building a model, which includes a display, memory for storing processor-executable process steps, and a processor to execute these steps. The system presents a user interface that allows users to build a model by selecting either big data or small data for use.
Career Highlights
Goldfarb is currently employed at General Electric Company, where she continues to push the boundaries of machine learning applications. Her work has been instrumental in developing technologies that enhance data processing and model building.
Collaborations
Throughout her career, Goldfarb has collaborated with notable colleagues, including Achalesh Kumar Pandey and Mary Kathleen Callahan. These partnerships have fostered innovation and contributed to the advancement of machine learning technologies.
Conclusion
Helena Goldfarb is a trailblazer in the field of machine learning, with a focus on creating practical solutions for industrial challenges. Her contributions through her patents and collaborations highlight her commitment to advancing technology in meaningful ways.