Robotics & Machine Learning Daily News2024,Issue(Mar.19) :169-172.

'Contextual Recommendations With Graphical Elements Based On Activity Recognitio n' in Patent Application Approval Process (USPTO 20240070710)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :169-172.

'Contextual Recommendations With Graphical Elements Based On Activity Recognitio n' in Patent Application Approval Process (USPTO 20240070710)

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Abstract

This patent application is assigned to Truist Bank (Charlotte, North Carolina, U nited States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “The public is increasingly accessing webpages a nd other on-line portals to perform various activities on-line. Performing such activities on-line provides convenience and potentially new types of services no t readily or conveniently available in-person. Such potentially new services inc lude access to superior up-to-the minute information, information filters, and s earch agents. With the increase in the number of activities performed on-line, n ew and more powerful methods are being developed for protecting the security of the user. The result is that convenience and enhanced security have combined to make on-line services more useful and effective, thereby driving the development of newer and more integrated services. More sophisticated server operators can provide greater integration and a high degree of user control, which can enable on-line users to synthesize, monitor, and analyze a wide array of activities and personal data.”

Key words

Cyborgs/Emerging Technologies/Machine Learning/Truist Bank

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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