Duncan Moss

Title: Duncan Moss - Innovator in Machine Learning and Data Processing

Introduction

Duncan Moss is a notable inventor based in Hillsboro, OR (US). He has made significant contributions to the fields of machine learning and data processing, holding a total of 3 patents. His innovative work has paved the way for advancements in computing systems and data pipelines.

Latest Patents

Duncan's latest patents include the "Inferencer graph for implementing machine learning model topology" and the "Directed acyclic graph template for data pipeline." The first patent describes a computing system that utilizes a processor to receive a machine learning model topology and generate an internal representation graph. This graph includes multiple internal representation layers, allowing for modifications that lead to the creation of an inferencer graph. This graph is designed to implement the machine learning model topology effectively across various processing devices. The second patent outlines a computing system that employs a directed acyclic graph (DAG) template to specify a data pipeline. The processor selects respective processing devices for each stage and determines a routing sequence, facilitating efficient data processing.

Career Highlights

Duncan has worked with prominent companies such as Megh Computing, Inc. and Intel Corporation. His experience in these organizations has contributed to his expertise in developing innovative computing solutions.

Collaborations

Duncan has collaborated with talented individuals in his field, including Martin Langhammer and Sudarshan Srinivasan. These collaborations have further enhanced his work and contributions to technology.

Conclusion

Duncan Moss is a distinguished inventor whose work in machine learning and data processing has led to significant advancements in technology. His patents reflect his innovative spirit and commitment to improving computing systems.