Marca Nominativa depositada no INPI em 14/06/2022 por MLCommons Association, processo nº 501678444, nas classes 09, 35, 42. Registro em vigor até 14/06/2032.
| Número do processo | 501678444 |
|---|---|
| Situação | Registro de marca em vigor (Madri) |
| Apresentação | Nominativa |
| Natureza | Madri Produto/Serviço |
| Data do depósito | 14/06/2022 |
| Data da concessão | 09/01/2024 |
| Vigência até | 14/06/2032 |
| Titular | MLCommons Association |
| CNPJ/CPF do titular | — |
| UF · País | — · US |
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.;
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