Abstract: Examples described herein provide a computer-implemented method that includes registering at least one of a plurality of virtual internet protocol addresses (VIPAs) to each of a plurality of network adapters. The method further includes distributing, by each of the plurality of network adapters, inbound data among each of the plurality of network adapters using an address resolution protocol.

Abstract: Examples described herein provide a computer-implemented method that includes registering at least one of a plurality of virtual internet protocol addresses (VIPAs) to each of a plurality of network adapters. The method further includes distributing, by each of the plurality of network adapters, inbound data among each of the plurality of network adapters using an address resolution protocol.

Abstract: Embodiments for managing online content by one or more processors are described. An identification of a content creator and an identification of an organization are received. A relationship associated with the content creator and the organization is determined based on at least one online data source associated with at least one of the content creator and the organization. A signal representative of the determined relationship between the content creator and the organization is generated.

Abstract: Embodiments for personalizing operations of an image capturing device by a processor. A combination of one or more objects and features along with associated settings of the image capturing device captured in an image may be classified. One or more personalized patterns of the settings of the image capturing device may be determined according to the classifying. The one or more personalized patterns of the settings of the image capturing device may be applied for capturing a subsequent image.

Abstract: A method, system and computer program product for discovering social network groups of interests to attendees of a group gathering. Voice imprints of attendees of a group gathering are received during a registration process. The received voice imprints are associated with the registered attendees. A voice stream that was captured in the group gathering is then translated to a list of utterances. Each utterance is then tagged with the attendee who made the utterance based on the voice imprints provided by the attendees during registration. The utterances are parsed and analyzed to identify concepts and keywords. An attendee to the group gathering may then be associated with a social network group (either preexisting or newly created) with a mapping to concepts and keywords that have a similarity to the identified concepts and keywords that meets or exceeds a threshold.

Abstract: Embodiments for personalizing operations of an image capturing device by a processor. A combination of one or more objects and features along with associated settings of the image capturing device captured in an image may be classified. One or more personalized patterns of the settings of the image capturing device may be determined according to the classifying. The one or more personalized patterns of the settings of the image capturing device may be applied for capturing a subsequent image.

Abstract: Embodiments for managing online content by one or more processors are described. An identification of a content creator and an identification of an organization are received. A relationship associated with the content creator and the organization is determined based on at least one online data source associated with at least one of the content creator and the organization. A signal representative of the determined relationship between the content creator and the organization is generated.

Abstract: A method, system and computer program product for discovering social network groups of interests to attendees of a group gathering. Voice imprints of attendees of a group gathering are received during a registration process. The received voice imprints are associated with the registered attendees. A voice stream that was captured in the group gathering is then translated to a list of utterances. Each utterance is then tagged with the attendee who made the utterance based on the voice imprints provided by the attendees during registration. The utterances are parsed and analyzed to identify concepts and keywords. An attendee to the group gathering may then be associated with a social network group (either preexisting or newly created) with a mapping to concepts and keywords that have a similarity to the identified concepts and keywords that meets or exceeds a threshold.