Serial Number
87705002
Owner
NVIDIA CorporationAttorney
Karen A. WebbFirst Use Date
May 10, 2017
Filing Date
Dec 1, 2017
I AM AI Trademark
Serial Number: 87705002 • Registration: 6866504
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Karen A. Webb Fenwick & West LLP
801 California Street
Silicon Valley Center
Mountain View, CA 94041
United States
Trademark Details
Filing Date
December 1, 2017
Registration Date
October 4, 2022
First Use Anywhere
May 10, 2017
First Use in Commerce
May 10, 2017
Published for Opposition
July 2, 2019
Goods & Services
Educational services, namely, providing training at tradeshows and computer and hardware developer's conferences in the field of electronics, and providing training course materials together therewith; providing online resources for software developers; publication of educational materials, namely, publishing of books, journals, newsletters, and electronic publications in the fields of software development, edge computing, fog computing, decentralized computing, Internet of Things, and computer and telecommunications networks, artificial intelligence, machine learning, deep learning, high performance computing, image feature extraction, natural language processing, supervised learning, un-supervised learning, and predictive analytics; arranging and conducting educational conferences; organizing, promoting and conducting exhibitions, tradeshows and events for business purposes; organizing exhibitions and events in the fields of software development, edge computing, fog computing, decentralized computing, Internet of Things, and computer and telecommunications networks, artificial intelligence, machine learning, deep learning, high performance computing, image feature extraction, natural language processing, supervised learning, un-supervised learning, and predictive analytics for cultural, educational, or entertainment purposes; organizing exhibitions and events in the field of software development for educational purposes; education services, namely, providing instruction and training in the fields of software development, edge computing, fog computing, decentralized computing, Internet of Things, and computer and telecommunications networks, artificial intelligence, machine learning, deep learning, high performance computing, image feature extraction, natural language processing, supervised learning, un-supervised learning, and predictive analytics; providing of on-line training; training in the use of artificial intelligence, machine learning, deep learning, high performance computing, image feature extraction, natural language processing, supervised learning, un-supervised learning, and predictive analytics, computer hardware and computer systems
Computer hardware for professional designers, engineers, and scientists for advanced graphics processing and visual computing; computer hardware, namely, integrated circuits, semiconductors, chipsets comprised of semi-conductor chips, computer chips, chip card readers and micro-processors; computer hardware; computer hardware for machine learning, deep learning, natural language generation, statistical learning, supervised learning, un-supervised learning, data mining, predictive analytics and business intelligence; computer hardware for detecting objects, user gestures and commands
