MLPERF
Live / Registered — Registered (as of 21 Nov 2023)
What this means for you
Registered since 21 Nov 2023. The owner can stop confusingly similar uses in the classes it covers.
Record
- Serial number
- 97440876
- Registration number
- 7221602
- Mark type
- Stylized text
- Filed
- 02 Jun 2022
- Published for opposition
- 05 Sept 2023
- Registered
- 21 Nov 2023
- Attorney of record
- Yvonne E. Tingleaf
Goods and services
- Class 009 — Scientific and electric apparatus: 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
- Class 035 — Advertising and business services: 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
- Class 042 — Scientific and technological services: 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
Owner
- MLCommons Association, Dover, DE, US
- MLCommons Association, San Francisco, CA, US
- MLCommons Association, San Francisco, CA, US
Prosecution history
- 09 Mar 2025 — TEAS CHANGE OF CORRESPONDENCE RECEIVED
- 09 Mar 2025 — ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
- 09 Mar 2025 — TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
- 09 Mar 2025 — APPLICANT/CORRESPONDENCE CHANGES (NON-RESPONSIVE) ENTERED
- 09 Mar 2025 — TEAS CHANGE OF OWNER ADDRESS RECEIVED
- 30 Jan 2025 — TEAS CHANGE OF CORRESPONDENCE RECEIVED
- 30 Jan 2025 — ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
- 30 Jan 2025 — TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
- 30 Jan 2025 — APPLICANT/CORRESPONDENCE CHANGES (NON-RESPONSIVE) ENTERED
- 30 Jan 2025 — TEAS CHANGE OF OWNER ADDRESS RECEIVED
- 21 Nov 2023 — NOTICE OF REGISTRATION CONFIRMATION EMAILED
- 21 Nov 2023 — REGISTERED-PRINCIPAL REGISTER
- 05 Sept 2023 — OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
- 05 Sept 2023 — PUBLISHED FOR OPPOSITION
- 16 Aug 2023 — NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED