Serial Number
88872006
Owner
Pattern ai LLCAttorney
Nyall EngfieldFirst Use Date
Jan 1, 2020
Filing Date
Apr 14, 2020
PATTERN AI Trademark
Serial Number: 88872006
Trademark Classes
Owner Contact Info
Legal Representation
Trademark Details
Filing Date
April 14, 2020
Registration Date
Not Registered
First Use Anywhere
January 1, 2020
First Use in Commerce
January 1, 2020
Goods & Services
Providing temporary use of on-line non-downloadable cloud computing software using artificial intelligence for deep learning, predictive models, predictive systems, natural language understanding, natural language processing, NLP, pattern analysis, pattern recognition, supervised learning, unsupervised learning, visual data representation, recommendation systems, reinforcement learning, robotics, robotic process automation, augmented intelligence, artificial neural networks, artificial narrow intelligence, artificial general intelligence, statistical models, statistical learning, computational intelligence, symbolic computing, symbolic systems, inference, data science, data models, data analysis, data engineering, data pipelines, data automation, mathematical optimization, dimensionality reduction, probability analysis, probabilistic methods, classification, computer vision, image recognition, content extraction, text extraction, question answering, text generation, text analysis, text classification, generative content, convoluted neural networks, generative adversarial networks, GANs, expert systems, autonomous systems, linear regression, logistic regression, density estimation, cluster analysis, time series analysis, decision trees, fraud detection, churn prediction, random forests, monte-carlo simulations, bayesian models, principal component analysis, ensembles, neural networks, support vector machines, nearest neighbors, feature selection, variable reduction, spatial modeling, attribution modeling, collaborative filtering, and segmentation models; Providing temporary use of on-line non-downloadable software and applications using artificial intelligence for deep learning, predictive models, predictive systems, natural language understanding, natural language processing, NLP, pattern analysis, pattern recognition, supervised learning, unsupervised learning, visual data representation, recommendation systems, reinforcement learning, robotics, robotic process automation, augmented intelligence, artificial neural networks, artificial narrow intelligence, artificial general intelligence, statistical models, statistical learning, computational intelligence, symbolic computing, symbolic systems, inference, data science, data models, data analysis, data engineering, data pipelines, data automation, mathematical optimization, dimensionality reduction, probability analysis, probabilistic methods, classification, computer vision, image recognition, content extraction, text extraction, question answering, text generation, text analysis, text classification, generative content, convoluted neural networks, generative adversarial networks, GANs, expert systems, autonomous systems, linear regression, logistic regression, density estimation, cluster analysis, time series analysis, decision trees, fraud detection, churn prediction, random forests, monte-carlo simulations, bayesian models, principal component analysis, ensembles, neural networks, support vector machines, nearest neighbors, feature selection, variable reduction, spatial modeling, attribution modeling, collaborative filtering, segmentation models