Cisco Technology, Inc.

Urmil Vijay Dave

Dominik Rene Tornow

Kyle Andrew Donald Mestery

Ian James Wells

In one embodiment, a videoconference service determines a selection of a virtual background for a videoconference from a particular participant of a plurality of participants in the videoconference. The videoconference service determines an audio context filter that is associated with a visual context of the virtual background. The videoconference service modifies an audio stream of the videoconference into a modified audio stream according to the audio context filter. The videoconference service presents, to the plurality of participants during the videoconference, the particular participant using the virtual background and the modified audio stream. In an embodiment, the videoconference service ascertains the visual context of the virtual background based on applying a machine learning model to the virtual background.

Machine learning-based audio manipulation using virtual backgrounds for virtual meetings

Systems, methods, and computer-readable media for managing a placement of data items on a distributed storage system. In some examples, a method can include determining a location of a master copy of a data item on a distributed storage system, the location including a data store on the distributed storage system; determining an access pattern associated with the master copy of the data item, the access pattern including originating locations of access requests received by the distributed storage system for the master copy of the data item and a respective number of access requests received from each of the originating locations; determining, based on the access pattern, a different location on the distributed storage system for storing the master copy of the data item, the different location including a different data store on the distributed storage system; and placing the master copy of the data item at the different location.

Master data placement in distributed storage systems

Systems, methods, and computer-readable media are provided for reusing execution environments and code of serverless functions while ensuring isolation in serverless computing environments. In some examples, a method can include, in response to a first request to run a serverless function, executing, at an execution environment on a network, computer-readable code configured to perform the serverless function; after the computer-readable code has executed, modifying a pointer to an area of memory used to store a first state of the serverless function to reference a different area of memory; in response to a second request to run the serverless function, reusing, at the execution environment, the computer-readable code to perform the serverless function; and based on the pointer referencing the different area of memory, using the different area of memory to store a second state of the serverless function.

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San Jose, CA, United States of America

Urmil Vijay Dave