Daniel Stephen Edmiston

Title: The Innovative Mind of Daniel Stephen Edmiston

Introduction

Daniel Stephen Edmiston is a notable inventor based in Seattle, WA. He has made significant contributions to the field of technology, particularly in the area of real-time assistance through machine learning. His innovative approach has led to the development of a unique patent that enhances user experience during conversations.

Latest Patents

Daniel Edmiston holds a patent for "Document recommendation based on conversational log for real time assistance." This patent describes techniques for document recommendation based on conversational logs. A first machine learning module identifies key phrases of a conversational log in real time. This module executes multiple machine learning models trained to determine the probability that a portion of a conversation includes a key phrase. A second machine learning module identifies assistance pertaining to the identified key phrases of the conversational log. This module executes a machine learning model trained to identify semantic similarity and word matching features of embedding representations of the key phrases and a knowledge base of assistance. The assistance is provided to a user during a conversation in real time.

Career Highlights

Daniel Edmiston is currently employed at Amazon Technologies, Inc. His work focuses on integrating advanced machine learning techniques to improve user interactions. With a strong background in technology and innovation, he has established himself as a key player in his field.

Collaborations

Throughout his career, Daniel has collaborated with talented individuals such as Wei Niu and Yi-Hsin Chen. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Daniel Stephen Edmiston exemplifies the spirit of innovation through his work in machine learning and real-time assistance. His contributions continue to shape the future of technology and enhance user experiences.