Clarifai, Inc.

John Rogers

Matthew Donald Zeiler

John W Sloan

Jason Culler

Daniel Kantor

Marshall Jones

Keith Ito

Kevin Most

Keyboard-based search of local and/or connected digital media items may be facilitated. A digital media item search interface may be presented in the same view as a messaging interface. The digital media item search interface may receive input such as from an on-screen keyboard to facilitate editing of user-provided search queries and submission of the user-provided search queries. The digital media item search interface may present digital media item tags relating to context information based on input received by the digital media item search query field. The digital media item search interface may present visual previews of local and/or connected digital media items corresponding to digital media item tags presented in the digital media item tag field. The digital media item search interface may receive user selections of individual digital media items to be communicated to one or more other users via the messaging interface.

Systems and methods for facilitating keyboard-based search of local and connected digital media items within a messaging application

Off-line deep neural network operations on client computing platforms may be enabled by cooperative machine learning across multiple client computing platforms and the cloud. A given client computing platform may include a client-side machine learning model configured to facilitate deep neural network operations on structured data. The operations may be performed by a client application installed on the given client computing platform. The client application may locally access the client-side machine learning model in order to perform the operations. Deep neural network operations on structured data may be performed at one or more servers. Sharing of model states may be facilitated between the cloud machine learning model and the client-side machine learning model. The cloud machine learning model may be improved, at one or more servers, based on usage of the application and user interactions with the given client computing platform.

Systems and methods for cooperative machine learning across multiple client computing platforms and the cloud enabling off-line deep neural network operations on client computing platforms

In certain implementations, a user request to add a new concept may be received. A set of media item recommendations may be caused to be loaded on a user interface for presentation to a user responsive to the user request to add the new concept. The media item recommendation set may include a set of recommendations loaded on an on-screen portion of the user interface and a set of recommendations loaded on an off-screen portion of the user interface. The on-screen user interface portion is visible to the user at a first time. The off-screen user interface portion is not being visible to the user at the first time. A user selection of one or more recommendations of the on-screen recommendation set is received. The off-screen recommendation set may be caused to be updated on the user interface during the presentation of the media item recommendation set based on the user recommendation selection.

Systems and methods for updating recommendations on a user interface in real-time based on user selection of recommendations provided via the user interface

Display screen or portion thereof with animated graphical user interface

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New York, NY, United States of America

John Rogers