EDGIFICATION
associated with 287 other trademarks
Downloadable and recorded computer software that uses software-based and hardware-based machine learning inference acceleration techniques to speed up...

Words that describe this trademark:

speed machine  computer software  machine learning  learning inference  software uses  uses  softwarebased  acceleration  techniques  inference 

Serial Number:

88690074

Mark:

EDGIFICATION

Status:

Abandoned-No Statement of Use filed

Status Date:

02-12-2024

Filing Date:

Registration Number:

N/A

Registration Date:

N/A

Goods and Services:

Downloadable and recorded computer software that uses software-based and hardware-based machine learning inference acceleration techniques to speed up machine learning model execution at the edge; downloadable and recorded computer software in the fields of computer vision, deep learning, neural net models, and artificial intelligence, for optimizing Machine Learning models to execute in constrained Edge environments; downloadable and recorded computer software in the fields of fog computing, edge analytics, Machine Learning and AI, namely, for doing real-time data processing for condition monitoring, predictive maintenance and proactive failure condition detection leveraging Edge optimization approach; downloadable and recorded computer software in the fields of fog computing and edge analytics, namely, for doing real-time data processing for condition monitoring, predictive maintenance and proactive failure condition detection; downloadable and recorded computer software in the field of the industrial internet of things, namely, for ingesting live equipment sensor data from industrial protocol servers and enriching and processing the data; downloadable and recorded computer software for use in analyzing real-time and historical data; downloadable and recorded computer software for use in monitoring sensors and industrial controllers, and generating alerts based on user-defined conditions; downloadable and recorded computer software for use in uploading data and video to data centers; downloadable and recorded computer software for use in developing computer software and applications; downloadable and recorded computer software in the fields of data analytics, namely, for doing pattern detection across data streams, joining multiple streams, detecting specific failure events, leveraging built-in math and statistical functions, adding user-defined functions, and executing Machine Learning models on real-time data; downloadable and recorded computer software for use in administration and remote management of other computer software; downloadable and recorded computer software for use in ingesting and analyzing data from remote computing devices providing online, non-downloadable computer software that uses software-based and hardware-based machine learning inference acceleration techniques to speed up machine learning model execution at the edge; providing online, non-downloadable computer software in the fields of computer vision, deep learning, neural net models, and artificial intelligence, for optimizing Machine Learning models to execute in constrained Edge environments; providing online, non-downloadable computer software in the field of the industrial internet of things, namely, for ingesting live equipment sensor data from industrial protocol servers and enriching and processing the data; providing online, non-downloadable computer software in the field of data analytics, namely, for doing pattern detection across data streams, joining multiple streams, detecting specific failure events, leveraging built-in math and statistical functions, adding user-defined functions, and executing Machine Learning models on real-time data; providing online, non-downloadable computer software for use in administration and remote management of other computer software; providing online, non-downloadable computer software for use in ingesting and analyzing data from remote computing devices

Mark Description:

N/A

Class:

Scientific and technological services

Type of Mark:

Trademark

Published for Opposition Date:

11-17-2020

Mark Drawing Status:

Standart Character Mark

Abandon Date:

02-12-2024

Business Name:

N/A

Correspondent Name:

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