Digital Reasoning Systems, Inc.

Uday Kamath

Timothy Wayne Estes

Wael Emara

John Liu

Brandon Carl

Cory Hughes

Systems and methods for performing machine learning on multilingual text data.

Low-resource multilingual machine learning framework

In some aspects, systems and methods for rapidly building, managing, and sharing machine learning models are provided. Managing the lifecycle of machine learning models can include: receiving a set of unannotated data; requesting annotations of samples of the unannotated data to produce an annotated set of data; building a machine learning model based on the annotated set of data; deploying the machine learning model to a client system, wherein production annotations are generated; collecting the generated production annotations and generating a new machine learning model incorporating the production annotations; and selecting one of the machine learning model built based on the annotated set of data or the new machine learning model.

Growing community of inventors

Ashburn, VA, United States of America

Uday Kamath