首页|'Flexible Image Aspect Ratio Using Machine Learning' in Patent Application Appro val Process (USPTO 20240311960)
'Flexible Image Aspect Ratio Using Machine Learning' in Patent Application Appro val Process (USPTO 20240311960)
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A patent application by the inventors Chang, Huiwen (Mountain View, CA, US); Feng, Xiao (Mountian View, CA, US); Gimen ez, Omer (Mountain View, CA, US); Krishnan, Dilip (Mountain View, CA, US); LI, Y uanzhen (Mountain View, CA, US); Maschinot, AJ (Mountain View, CA, US); Wang, Me ngjie (Mountain View, CA, US); Wang, Yihui (Montain View, CA, US); Xu, Han (Moun tain View, CA, US), filed on May 20, 2022, was made available online on Septembe r 19, 2024, according to news reporting originating from Washington, D.C., by Ne wsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "The background description provided herein is f or the purpose of generally presenting the context of the disclosure. Work of th e presently named inventors, to the extent it is described in this background se ction, as well as aspects of the description that may not otherwise qualify as p rior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present disclosure.
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