Ithaca, NY, United States of America

Emma Rose Bieck

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Dell Products Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Emma Rose Bieck. Retrieved from https://idiyas.com/inventor/emma-rose-bieck

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
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: Emma Rose Bieck and Multilingual AI Search

Introduction

Emma Rose Bieck is an inventor associated with Ithaca, New York, and Dell Products Inc. Her patent work addresses how an artificial intelligence productivity tool can identify capabilities that best match a user’s query across languages.

Latest Patents

Bieck is named on 1 patent: “System and Method of Multilingual Semantic and Lexical Hybrid Search Scoring for Artificial Intelligence Productivity Tool-Enablable Application Capabilities for a User Query Input.” The invention describes an information handling system that processes a query using a language-dependent hybrid weighting algorithm. It combines semantic similarity, measured through cosine scoring, with lexical keyword relevance, adjusting the weighting according to the query’s language and relevant terms. The system then uses the resulting score to identify and execute a responsive capability.

Career Highlights

Bieck’s listed patent reflects work on multilingual search and AI productivity tools. It focuses on improving how an on-device system interprets user queries and selects relevant application capabilities.

Collaborations

Bieck’s listed coworkers include Ashutosh Singh and Mona Sachdev. The patent is associated with Dell Products Inc.

Conclusion

Emma Rose Bieck’s patent contribution centers on combining semantic and lexical search methods to help AI productivity tools respond more effectively to multilingual user queries.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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