MLPERF
LIVE

Serial Number

97440876

Owner

MLCOMMONS ASSOCIATION

Attorney

Yvonne E. Tingleaf

First Use Date

May 7, 2018

Filing Date

Jun 2, 2022

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MLPERF Trademark

Serial Number: 97440876 • Registration: 7221602

MLPERF is a trademark filed by MLCOMMONS ASSOCIATION on June 2, 2022. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific), Class 35 (Advertising & Business). The application is currently registered and active.

Owner Contact Info

MLCOMMONS ASSOCIATION (7 trademarks)

8 The Green #20930
Dover, DE 19901

Entity Type: 56

Trademark Details

Filing Date

June 2, 2022

Registration Date

November 21, 2023

First Use Anywhere

May 7, 2018

First Use in Commerce

May 7, 2018

Published for Opposition

September 5, 2023

Goods & Services

Downloadable computer software and mobile application for testing devices and servers for compliance with machine learning requirements; Downloadable computer software for measuring machine learning training accuracy, speed, performance, and efficiency in devices and servers; Downloadable computer software and mobile application for measuring machine learning inference accuracy, speed, performance, and efficiency in devices and servers; Downloadable computer software and mobile application for measuring mobile device and embedded device machine learning accuracy, speed, performance, and efficiency

Business services, namely, formulation of best practices for machine learning to accelerate progress in the field of machine learning; Collection and analysis of quality metric data and performance data for business purposes in the field of machine learning; 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 for business purposes; Providing business information in the nature of data sets pertaining to machine learning; Providing business data in the field of machine learning data for business purposes; Providing business information in the nature of benchmarking information in the field of machine learning for use to measure accuracy, speed, performance, efficiency; Business services, namely, formulation of best practices in the field of machine learning for use to measure accuracy, speed, performance, 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 devices and servers pertaining to machine learning training 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 devices and servers pertaining to machine learning 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 and software in the field of mobile applications in the field of machine learning; Design and development of software and software in the field of mobile applications for testing devices and servers; Design and development of software and software in the field of mobile applications for testing devices and servers for compliance with machine learning requirements; Product quality testing of software in the field of machine learning; Product quality testing of computer hardware and hardware devices in the field of machine learning; Product quality testing of mobile devices and servers; 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; Providing information in the field of software development in the field of rules, references, and tools pertaining to machine learning

Filing History

TEAS CHANGE OF CORRESPONDENCE RECEIVED
Mar 9, 2025 TCCA
ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
Mar 9, 2025 ARAA
TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
Mar 9, 2025 REAP
APPLICANT/CORRESPONDENCE CHANGES (NON-RESPONSIVE) ENTERED
Mar 9, 2025 CHAN
TEAS CHANGE OF OWNER ADDRESS RECEIVED
Mar 9, 2025 COAR
TEAS CHANGE OF CORRESPONDENCE RECEIVED
Jan 30, 2025 TCCA
ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
Jan 30, 2025 ARAA
TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
Jan 30, 2025 REAP
APPLICANT/CORRESPONDENCE CHANGES (NON-RESPONSIVE) ENTERED
Jan 30, 2025 CHAN
TEAS CHANGE OF OWNER ADDRESS RECEIVED
Jan 30, 2025 COAR
NOTICE OF REGISTRATION CONFIRMATION EMAILED
Nov 21, 2023 NRCC
REGISTERED-PRINCIPAL REGISTER
Nov 21, 2023 R.PR
OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
Sep 5, 2023 NPUB
PUBLISHED FOR OPPOSITION
Sep 5, 2023 PUBO
NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
Aug 16, 2023 NONP
APPROVED FOR PUB - PRINCIPAL REGISTER
Jul 29, 2023 CNSA
TEAS/EMAIL CORRESPONDENCE ENTERED
Jun 22, 2023 TEME
CORRESPONDENCE RECEIVED IN LAW OFFICE
Jun 22, 2023 CRFA
TEAS RESPONSE TO OFFICE ACTION RECEIVED
Jun 22, 2023 TROA
NOTIFICATION OF NON-FINAL ACTION E-MAILED
Apr 6, 2023 GNRN
NON-FINAL ACTION E-MAILED
Apr 6, 2023 GNRT
NON-FINAL ACTION WRITTEN
Apr 6, 2023 CNRT
ASSIGNED TO EXAMINER
Mar 19, 2023 DOCK
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Jun 13, 2022 NWOS
NEW APPLICATION ENTERED
Jun 6, 2022 NWAP