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MLCOMMONS

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MLCOMMONS
REGISTERED

on 16 May 2025

Last Applicant/ Owned by

MLCommons Association

8 The Green #20930Dover DE 19901

US

Serial Number

2202036 filed on 14th Jun 2022

Registration Number

TMA1314076 registered on 16th May 2025

Registration expiry Date

14th Jun 2032

Correspondent Address

CLARK WILSON LLP

900 - 885 WEST GEORGIA STREETVANCOUVER

BRITISH COLUMBIA

CA

V6C3H1

MLCOMMONS

Trademark usage description

association services, namely, promoting public awareness of innovation in the field of machine learning; association services, namely, promoting publi Read More

Classification Information

Class [035]
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; 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, interoperability, and functionality; business services, namely, formulation of best practices in the field of machine learning for use to measure accuracy, speed, performance, efficiency, 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 and machine learning accuracy, speed, performance, efficiency, interoperability, and functionality; 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 and performance test data for local computers, embedded computers, computer hardware, virtual machines, and cloud servers regarding the machine learning interoperability and functionality of such devices and servers, and regarding the machine learning interoperability and functionality of computer software incorporated into 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.

Classification kind code

11

Class [042]
Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software, computer systems, computer technology, computer hardware, virtual machines, and cloud servers needed to meet those 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 recommendations for the computer software, computer systems, and computer technology, computer hardware, virtual machines, and cloud servers 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, computer systems, and computer technology, computer hardware, virtual machines, and cloud servers 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, computer systems, and computer technology, computer hardware, virtual machines, and cloud servers 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 benchmarking information and best practices in the field of machine learning for use to measure accuracy, speed, performance, efficiency, and interoperability.

Classification kind code

11

Mark Details

Serial Number

2202036

Mark Type

Trademark

Legal History

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Action TakenStatus
Submitted for opposition 22
on 1st Dec 2023		Search Recorded
Submitted for opposition 20
on 1st Dec 2023		Examiner's First Report
Submitted for opposition 223
on 1st Dec 2023		Total Provisional Refusal
Submitted for opposition 256
on 5th Jun 2023		Notification of Possible Opposition Sent
Submitted for opposition 48
on 19th Dec 2022		Agent Changed
Submitted for opposition 257
on 4th Aug 2022		Designation Notification - Madrid Protocol
Submitted for opposition 1
on 3rd Aug 2022		Created
Submitted for opposition 31
on 3rd Aug 2022		Formalized
Submitted for opposition 30
on 14th Jun 2022		Filed
Submitted for opposition 228
on 14th Jun 2022		International Registration