Serial Number

87832799

Filing Date

Mar 13, 2018

Registration Date

Sep 10, 2019

Trademark by

PREFERRED NETWORKS INC.

Active Trademark

Classification Information

Computer software, namely, open source software for use in data analytics, machine learning, and using artificial intelligence for autonomous vehicles, manufacturing machine operations, security and safety applications, transportation operations, transaction processing to upload transactional data, provide statistical analysis, and produce notifications and reports for the analysis of performance of manufacturing machine operations and performance of robotics operations; neural network software for use in data analytics, machine learning, and using artificial intelligence in the field of autonomous vehicles, manufacturing machine operations, security and safety applications, transportation operations, transaction processing to upload transactional data, provide statistical analysis, and produce notifications and reports for the analysis of performance of manufacturing machine operations and performance of robotics operations

Electrical and Scientific Apparatus

Cloud computing featuring software for use in data analytics, machine learning, and using artificial intelligence for autonomous vehicles, manufacturing machine operations, security and safety applications, transportation operations, transaction processing to upload transactional data, provide statistical analysis, and produce notifications and reports for the analysis of performance of manufacturing machine operations and performance of robotics operations; software as a service (SAAS) services featuring software for use in data analytics, machine learning, and using artificial intelligence for autonomous vehicles, manufacturing machine operations, security and safety applications, transportation operations, transaction processing to upload transactional data, provide statistical analysis, and produce notifications and reports for the analysis of performance of manufacturing machine operations and performance of robotics operations

Computer and Scientific