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Version control for asynchronous distributed machine learning - US-2017091651-A1

More about the patent "Version control for asynchronous distributed machine learning "
ID: US-2017091651-A1

Danger Rate by editors: 54


Assignee: Linkedin Corporation

Inventors: Xu Miao, Yitong Zhou, Joel D. Young, Lijun Tang, Anmol Bhasin

Class: G06N99/005

Tags: Learning Machines; Personalized User Data.

Filing: 2015-09-24

Priority: 2015-09-24

Publication: 2017-03-30

Granted: 0000-00-00


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Version control for asynchronous distributed machine learning - US-2017091651-A1

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SOCIALITY AIMS TO EXPLOIT INTELLECTUAL PROPERTY LAWS FOR MONITORING AND REGULATING HAZARDOUS INFORMATION TECHNOLOGY. AS AN ARTISTIC PROVOCATION, IT PROPOSES THE DEMOCRATIC BANNING OF SOCIALLY HARMFUL INVENTIONS THAT EMPLOY DEVIOUS PSYCHOLOGICAL AND PROFILING TACTICS THROUGH ARTIFICIAL INTELLIGENCE, ALGORITHMS, DATA MINING, SOCIAL MEDIA, USER INTERFACES AND TRACKING, IN FAVOR OF A MORE ETHICAL USE OF TECHNOLOGY.
This is a socially engaged Internet artwork by Paolo Cirio.