This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Lumana Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ron Slossberg: Inventor in Visual Content Classification and Multimedia Intelligence
Introduction
Ron Slossberg is an inventor based in Raanana, Israel, and works at Lumana Inc. His patent work includes machine-learning techniques for classifying object states in visual content and using language models to support structured database queries. His portfolio includes 2 patents.
Latest Patents
Slossberg’s listed patents address two applications of machine learning and artificial intelligence.
“Techniques for Classifying Custom Object States in Visual Content” describes a system for training models to recognize objects in visual content and classify the states of those objects. One model identifies content that shows a particular object, while a second model learns from labeled examples to distinguish the object’s states.
“Multimedia Intelligence Agent” describes a method for converting a natural-language request into a structured database query. The system compares the request with examples pairing natural-language text and database queries, uses matching examples to guide a language model, and then queries the database using a structured query based on the model’s outputs.
Career Highlights
Slossberg’s listed inventions focus on applying machine learning to visual understanding and database interaction. Together, they illustrate approaches to identifying and classifying objects in media and translating user requests into queries that databases can process.
Collaborations
The provided information names Ron Kimmel and Aviad Zabatani as Slossberg’s coworkers. It does not specify their roles in the listed patents.
Conclusion
Ron Slossberg’s patent portfolio reflects work on visual-content classification and natural-language-driven database querying, connecting machine-learning methods with practical information systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile