Trademark: TRAINIUM 2181121
Word
TRAINIUM
ID
2181121
Trademark Type
Word
Status
Registered: Registered/protected
Application Date
24 May 2021
Registration Date
24 May 2021
Renewal Date
24 May 2031
Owner(s)
Service
King & Wood Mallesons
Goods and Services:
Class 9:
Computer hardware for training machine learning models across applications; Computer hardware for training and accelerating machine learning models for image recognition, natural language processing, speech recognition, translation, personalization, fraud detection, forecasting, autonomous vehicles, and recommendation engines; Computer hardware for machine learning acceleration across applications; Computer hardware specifically designed to facilitate the delivery of cloud computing services, including semiconductors, computer chips, integrated circuits, central processing units, electronic circuits and microprocessors; computer chips; computer central processing units; circuit boards; electronic circuit cards; integrated circuit modules; downloadable computer software for use in the operation of semiconductors, computer chips, and central processing units; downloadable computer software development tools; downloadable computer software for developing computer hardware; downloadable computer firmware and software for use in the operation of semiconductors, computer chips, and central processing units; downloadable computer software used for advanced cloud computing functions in the nature of machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; computer hardware used for advanced cloud computing functions in the nature of machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; all of the foregoing for use with custom machine learning chips
Computer hardware for training machine learning models across applications; Computer hardware for training and accelerating machine learning models for image recognition, natural language processing, speech recognition, translation, personalization, fraud detection, forecasting, autonomous vehicles, and recommendation engines; Computer hardware for machine learning acceleration across applications; Computer hardware specifically designed to facilitate the delivery of cloud computing services, including semiconductors, computer chips, integrated circuits, central processing units, electronic circuits and microprocessors; computer chips; computer central processing units; circuit boards; electronic circuit cards; integrated circuit modules; downloadable computer software for use in the operation of semiconductors, computer chips, and central processing units; downloadable computer software development tools; downloadable computer software for developing computer hardware; downloadable computer firmware and software for use in the operation of semiconductors, computer chips, and central processing units; downloadable computer software used for advanced cloud computing functions in the nature of machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; computer hardware used for advanced cloud computing functions in the nature of machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; all of the foregoing for use with custom machine learning chips
Class 40:
Custom manufacture of computer hardware, including semiconductors, computer chips, integrated circuits, and central processing units; custom manufacturing electric and electronic components for others; all of the foregoing for use with custom machine learning chips
Custom manufacture of computer hardware, including semiconductors, computer chips, integrated circuits, and central processing units; custom manufacturing electric and electronic components for others; all of the foregoing for use with custom machine learning chips
Class 42:
Providing temporary use of on-line non-downloadable cloud computing software for use with operating and running computer hardware for accelerating machine learning; Providing temporary use of on-line non-downloadable cloud computing software for training machine learning models across applications; Providing temporary use of on-line non-downloadable cloud computing software for use with operating and running computer hardware for training and accelerating machine learning models for image recognition, natural language processing, speech recognition, translation, personalization, recognizing patterns of fraudulent activity, forecasting, autonomous vehicles, and recommendation engines; Computer hardware engineering services; design of semiconductors, integrated circuits, computer chips and central processing units for others; Providing temporary use of non-downloadable cloud computing software for use with operating and running computer hardware for machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; all of the foregoing for use with custom machine learning chips
Providing temporary use of on-line non-downloadable cloud computing software for use with operating and running computer hardware for accelerating machine learning; Providing temporary use of on-line non-downloadable cloud computing software for training machine learning models across applications; Providing temporary use of on-line non-downloadable cloud computing software for use with operating and running computer hardware for training and accelerating machine learning models for image recognition, natural language processing, speech recognition, translation, personalization, recognizing patterns of fraudulent activity, forecasting, autonomous vehicles, and recommendation engines; Computer hardware engineering services; design of semiconductors, integrated circuits, computer chips and central processing units for others; Providing temporary use of non-downloadable cloud computing software for use with operating and running computer hardware for machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; all of the foregoing for use with custom machine learning chips