MLCOMMONS Trademark

Educational services, namely, organizing, arranging, and conducting presentations on the topic of machine learning for educational purposes

Association services, namely, promoting public awareness of innovation in the field of machine learning; Association services, namely, promoting public awareness of machine learning training accuracy, speed, performance, and efficiency; Association services, namely, promoting public awareness of machine learning inference accuracy, speed, performance, and efficiency; Association services, namely, promoting public awareness of mobile device and embedded device machine learning accuracy, speed, performance, and efficiency; Business services, namely, formulation of best practices for machine learning and machine learning interoperability and functionality to accelerate progress in the field of machine learning; Collection and analysis of quality metric data and performance data for business purposes in the fields of machine learning and machine learning interoperability and functionality; Collection and analysis of quality metric device and test data and performance device and test data pertaining to machine learning, namely, compiling and analyzing statistics, device test data, and server test data regarding the machine learning interoperability and functionality of such devices and servers for business purposes; Organizing, arranging, and conducting product presentations on the topic of machine learning; Organizing, arranging, and conducting business networking events in the field of machine learning; Providing business information, in the nature of data sets pertaining to machine learning and machine learning interoperability and functionality; Providing business information in the nature of benchmarking information in the field of machine learning for use to measure accuracy, speed, performance, efficiency, and interoperability; Business services, namely, formulation of best practices in the field of machine learning for use to measure accuracy, speed, performance, efficiency, and interoperability

Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software and systems and other technology needed to meet these requirements in the field of machine learning requirements, interoperability, and functionality; Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software and systems and other technology needed to meet these requirements in the field of devices and servers pertaining to machine learning requirements, interoperability, and functionality; Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software and systems and other technology needed to meet these requirements in the field of devices and servers pertaining to machine learning training and inference accuracy, speed, performance, and efficiency; Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software and systems and other technology needed to meet these requirements in the field of mobile device and embedded device machine learning accuracy, speed, performance, and efficiency; Design and development of software in the field of the machine learning; Design and development of software for testing devices and servers; Design and development of software for testing devices and servers for compliance with machine learning requirements and to measure machine learning interoperability and functionality; Providing information in the field of software development in the field of machine learning; Providing information in the field of software development in the field of machine learning data in the field of interoperability and functionality; Providing information in the field of software development in the field of rules, references, and tools pertaining to machine learning data in the field of interoperability and functionality