Abstract: A method and apparatus of a device that performs a hitless update a boot image of a network element. In this embodiment, the device identifies the network element to update and determines if the network element has redundant paths. If this network element has redundant paths, the device configures the network element to drain data processing of the network element. In addition, the device updates the network element to a new boot image when the data processing of the network element is drained.

Abstract: A method of forming an electrode array is disclosed, the method comprising: forming an elongate comb structure comprising a plurality of longitudinally-spaced electrode contacts extending from and supported by a spine; electrically connecting each of a plurality of electrically conductive pathways to a respective one of the plurality of electrode contacts; placing the conductive pathways adjacent the contacts; placing silicone over the conductive pathways and contacts; curing the silicone so as to substantially retain the longitudinal spacing between neighboring contacts; and severing the spine from the plurality of electrode contacts.

Abstract: A method and apparatus of a device that performs a hitless update a boot image of a network element. In this embodiment, the device identifies the network element to update and determines if the network element has redundant paths. If this network element has redundant paths, the device configures the network element to drain data processing of the network element. In addition, the device updates the network element to a new boot image when the data processing of the network element is drained.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: An elongate stimulation assembly of an implantable stimulation device, including an intra-cochlear portion including an array of electrodes, and an extra-cochlear portion extending from the intra-cochlear portion, wherein the extra-cochlear portion includes a plurality of electrical lead wires in electrical communication with the array of electrodes and a malleable component extending in an elongate manner such that the malleable component is located further away from a longitudinal axis of the extra-cochlear portion than at least one of the electrical leads of the plurality of electrical leads.

Abstract: The present invention relates to peptides for use in the treatment of metabolic disorders. In particular, the present invention relates to peptides for use in the treatment of diabetes. According to the present invention, there is provided a peptide for use in the treatment of a metabolic disorder; wherein the peptide is a piscine-derived PYY or fragment or analogue thereof.

Abstract: A method of forming an electrode array is disclosed, the method comprising: forming an elongate comb structure comprising a plurality of longitudinally-spaced electrode contacts extending from and supported by a spine; electrically connecting each of a plurality of electrically conductive pathways to a respective one of the plurality of electrode contacts; placing the conductive pathways adjacent the contacts; placing silicone over the conductive pathways and contacts; curing the silicone so as to substantially retain the longitudinal spacing between neighboring contacts; and severing the spine from the plurality of electrode contacts.

Abstract: In implementations of determining user segmentation based on a photo library, a device maintains digital images in the photo library, as well as metadata associated with the digital images. The device includes a segmentation module implemented to determine characteristics about a user of the device by analysis of the metadata of the digital images. The segmentation module can determine a segmentation based on the characteristics determined about the user. The segmentation includes one or more segments that each represent a generalized aspect of the user, where a generalized aspect is attributable to multiple people and anonymity of the user is maintained. The segmentation module can associate an anonymous identifier with the segmentation effective to maintain the anonymity of the user and privacy of the metadata. The segmentation and the anonymous identifier can then be communicated to a marketing system that generates personalized marketing messages based on the segmentation.

Abstract: This invention relates to compositions for use in the treatment of diabetes, for example type-2 diabetes; obesity; and/or metabolic syndrome. Specifically, the invention relates to a composition for use in the treatment of diabetes, the composition comprising at least one of diindolylmethane; indole-3-carbinol; embelin; [6]-gingerol; and [6]-shogaol, or combinations each thereof. Also disclosed is use in the treatment of obesity and use in the treatment of metabolic syndrome.

Abstract: An elongate stimulation assembly of an implantable stimulation device, including an intra-cochlear portion including an array of electrodes, and an extra-cochlear portion extending from the intra-cochlear portion, wherein the extra-cochlear portion includes a plurality of electrical lead wires in electrical communication with the array of electrodes and a malleable component extending in an elongate manner such that the malleable component is located further away from a longitudinal axis of the extra-cochlear portion than at least one of the electrical leads of the plurality of electrical leads.

Abstract: A device, including an insertion tool including an insertion guide that is flexible in a direction lying in at least a plane lying on a longitudinal axis thereof, the insertion guide having a slit and/or a gap extending in the longitudinal direction, the plane extending through the slit and/or gap, wherein the guide configured to maintain a pre-curved electrode assembly in a substantially straight configuration while preventing the electrode assembly from twisting in response to stresses induced by bias forces which urge the assembly to return to its pre-curved configuration, when the insertion guide is flexed in the plane.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: In implementations of determining user segmentation based on a photo library, a device maintains digital images in the photo library, as well as metadata associated with the digital images. The device includes a segmentation module implemented to determine characteristics about a user of the device by analysis of the metadata of the digital images. The segmentation module can determine a segmentation based on the characteristics determined about the user. The segmentation includes one or more segments that each represent a generalized aspect of the user, where a generalized aspect is attributable to multiple people and anonymity of the user is maintained. The segmentation module can associate an anonymous identifier with the segmentation effective to maintain the anonymity of the user and privacy of the metadata. The segmentation and the anonymous identifier can then be communicated to a marketing system that generates personalized marketing messages based on the segmentation.

Abstract: Certain embodiments involve determining visual context associated with user behavior and associating the visual context with the user behavior. For example, a system captures a portion of a user interface provided to a user at a time of a user action on the user interface. The captured portion can include digital content and the system can detect the digital content. The system can also generate a digital representation of the digital content. The digital representation can indicate the digital and exclude the digital content. The system can determine a visual context associated with the user action based on the generated digital representation. The visual context describes the digital content displayed via the user interface at the time of the user action. The system can also determine subsequent digital content to output to the user to create a subsequent visual context to encourage a particular user behavior.

Abstract: A method and apparatus of a device that performs a hitless update a boot image of a network element. In this embodiment, the device identifies the network element to update and determines if the network element has redundant paths. If this network element has redundant paths, the device configures the network element to drain data processing of the network element. In addition, the device updates the network element to a new boot image when the data processing of the network element is drained.

Abstract: A method, including subjecting a subcutaneous medical device containing a magnet to a magnetic field, thereby imparting a torque onto the magnet, and resisting the imparted torque via an external device that has a skin facing component extending in a direction away from a curvature of the body of the recipient at locations proximate a portion directly contacting skin directly above the implanted magnet.

Abstract: A method and apparatus of a device that performs a hitless update a boot image of a network element. In this embodiment, the device identifies the network element to update and determines if the network element has redundant paths. If this network element has redundant paths, the device configures the network element to drain data processing of the network element. In addition, the device updates the network element to a new boot image when the data processing of the network element is drained.

Abstract: The RTP Media Conference Server Routing Engine (“MCSRE”) integrates into a standards based RTP Media Server to improve server data throughput of RTP conference routing by factors of tens to hundreds while simultaneously decreasing real-time media delivery delays and significantly decreasing server resource requirements. The RTP MCSRE maintains a conference routing database used to manage a large number of conferences with a list of associated RTP sessions and conference participants. The routing engine also includes a Conference Session Routing Filter (“CSRF”) and a Routing Logic Processor (“RLP”) that selectively route received media streams to each participant in a given RTP conference. The behavior of both the CSRF and the RLP can be modified by executable scripts. The RTP MCSRE imposes floor control rules and packet filtering with regard to both network bandwidth and hardware resources specific to conference participant endpoint devices.