New York, NY, United States of America

Samuel Andrew Altschul

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Samuel Andrew Altschul: Innovator in Statistical Language Models

Introduction

Samuel Andrew Altschul is a notable inventor based in New York, NY (US). He has made significant contributions to the field of statistical language models, holding a total of 2 patents. His work focuses on enhancing communication systems through innovative technologies.

Latest Patents

One of his latest patents is titled "Statistical language models for simulating communication sessions." This invention utilizes a statistical language model to simulate users in a conversation, allowing for training in specific types of dialogue. The model selects a simulation context based on difficulty levels and generates responsive simulated communications. This approach aims to improve user participation in various conversational scenarios.

Another significant patent is "Intent discovery with a prototype classifier." This invention processes messages to determine their intent, which indicates the meaning behind the communication. By computing a message embedding vector, the intent classifier compares it to prototype vectors to identify the closest match. This technology can be applied in automated communication systems and for analyzing usage data to refine intent classifications.

Career Highlights

Samuel Andrew Altschul is currently employed at Asapp, Inc., where he continues to develop innovative solutions in the realm of communication technologies. His work has positioned him as a key figure in advancing the capabilities of automated systems.

Collaborations

He collaborates with talented individuals such as Jeremy Elliot Azriel Wohlwend and Ethan Russell Elenberg, contributing to a dynamic and innovative work environment.

Conclusion

Samuel Andrew Altschul's contributions to statistical language models and intent discovery showcase his commitment to enhancing communication technologies. His patents reflect a deep understanding of user interaction and the potential for automation in communication systems.

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