Haifa, Israel

Alona Golts

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Alona Golts: Innovator in Document Image Analysis

Introduction

Alona Golts is a prominent inventor based in Haifa, Israel. She has made significant contributions to the field of document image analysis, particularly through her innovative patent. Her work focuses on enhancing the understanding and processing of document layouts using advanced machine learning techniques.

Latest Patents

Alona Golts holds a patent titled "Document image analysis using joint prediction of layout elements and reading order." This patent involves creating a labeled data set that indicates layout elements within document images, as well as a reading order for these elements. By utilizing this data set and a combined loss function, a machine learning model is trained to predict the respective content classes of layout elements identified within document images, along with their reading orders. The combined loss function aggregates losses associated with the prediction of content classes and reading order. In response to an inference request indicating a document image, the trained model generates a predicted reading order for the layout elements identified in the document image. Alona has 1 patent to her name.

Career Highlights

Alona Golts is currently employed at Amazon Technologies, Inc., where she continues to develop her expertise in machine learning and document analysis. Her innovative approach has positioned her as a valuable asset in her field.

Collaborations

Alona collaborates with Niv Berchi Nayman, who is also a talented professional in the same domain. Their partnership enhances the research and development efforts at Amazon Technologies, Inc.

Conclusion

Alona Golts is a remarkable inventor whose work in document image analysis is paving the way for advancements in machine learning applications. Her contributions are significant and continue to influence the industry positively.

Profile summary based on public USPTO records.
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