35
Association services, namely, promoting 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; providing information, data sets, and best
practices pertaining to machine learning and machine
learning interoperability and functionality; collection,
analysis, and display of data for business purposes in the
fields of machine learning and machine learning
interoperability and functionality; collection, analysis,
and display of 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 presentations on the topic of machine
learning; organizing, arranging, and conducting business
networking events in the field of machine learning
42
Design and development of technical specifications in the
field of machine learning requirements, interoperability,
and functionality; design and development of technical
specifications for devices and servers pertaining to machine
learning requirements, interoperability, and functionality;
design and development of technical specifications for
devices and servers pertaining to machine learning training
and inference accuracy, speed, performance, and efficiency;
design and development of technical specifications for
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 benchmarking information and best
practices in the field of machine learning for use to
measure accuracy, speed, performance, efficiency, and
interoperability