Abstract: A system for optimizing telemetry volume generated for an application product includes: a volume calculation service and a configuration service coupled to a client device via a network connection. The volume calculation service receiving identification of a particular event that occurs during execution of the application product by the client and calculating an optimized sampling rate for that event in telemetry produced by the client, the optimized sampling rate calculated based on reducing an overall volume of telemetry while still maintaining tracking of the particular event within the telemetry. The configuration service generating a configuration for the client device, the configuration service configuring the client to use the optimized sampling rate to produce telemetry for the event during execution of the application product by the client device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for using artificial intelligence to generate images are described. In one aspect, a method includes obtaining, by an artificial intelligence system and from one or more data sources, information related to one or more digital components for an item. The obtained information can include an identifier for the item and text presented by at least one of the one or more digital components. The artificial intelligence system generates an image generation prompt based on the obtained information. The image generation prompt includes image generation instructions for generating an image based on the extracted information. The artificial intelligence system provides the image generation prompt to an image generation model trained to generate images based on input image generation prompts. The artificial intelligence system generates an updated digital component using an output image output by the image generation model.

Abstract: The present inventions provide covalently surface modified adeno-associated viruses can comprise gene of interest (GOIs) and advantageously can be targeted to certain cell and tissue types for preventative and therapeutic purposes. The present inventions further provide systems and methods for engineering adeno-associated virus (AAV) to create covalently surface modified adeno-associated viruses, and methods of purifying such covalently surface modified adeno-associated viruses. The inventions further include covalently surface modified adeno-associated viruses and preparations and products comprising such covalently surface modified adeno-associated viruses.

Abstract: Embodiments monitor one or more inventory items corresponding to a vehicle. Embodiments generate a trip plan including, for the vehicle, a start location, an end location, and one or more stops, and for each of the inventory items, a pickup location and a drop off location corresponding to the one or more stops. Embodiments, for each of the inventory items, detect that the vehicle has entered the pickup location based on the trip plan and in response automatically link a sensor to the inventory item. Embodiments, for each of the inventory items, detect that the vehicle has entered the pickup location based on the trip plan and in response automatically unlink the sensor from the inventory item.

Abstract: Certain example embodiments detect and correct errors in services defining an integration of disparate computing components in an integration platform-as-a-service environment. The services are iterated through to identify reference mappings therein. For each identified reference mapping in each of the services, a determination is made regarding whether a reference corresponding to the respective mapping is valid. For each reference determined to be not valid, an error type associated with the respective reference is identified, and an aspect of the reference is automatically replaced if the respective error type is a reference-related error. A user may be prompted to create an element of the integration if the error type determined for the respective reference is an asset-related error involving a missing integration element. Configuration-related errors also are detectable.

Abstract: Techniques for dynamically and automatically equalizing audio content are provided. These techniques include receiving, in portions or as a whole, an instruction file that contains a plurality of instruction lines. Each one of the instruction lines correlates an equalizer setting instruction with a time frame of media content. The techniques further include automatically adjusting, as the media content is played, an equalizer setting of the equalizer according to the equalizer setting instruction that corresponds to the time frame of the media content being played at that time. Audio content is equalized in accordance with the equalizer setting, which is automatically adjusted as the media content is played according to the instruction file.

Abstract: Various implementations relate to methods, systems and computer readable media to provide cross-device communication with adaptive avatar interaction. According to one aspect, a computer-implemented method includes receiving communication inputs from a first device, determining facial landmarks and head orientation of the first user, and generating an animated 3D avatar based on the inputs. A virtual camera position is adjusted according to the head orientation. The computer-implemented method further receives additional communication inputs from a second device with enhanced features, modifies the avatar accordingly, and provides the enhanced animation to the second device. Various implementations allow for different viewing modes, including picture-in-picture (PIP), side-by-side, and cinematic views, to adapt the experience across multiple devices such as virtual reality (VR) headsets, augmented reality (AR) devices, mobile phones, and desktop computers.

Abstract: A metaverse application places a first avatar of a first player at a first position and a second avatar of a second player at a second position in a virtual experience. The metaverse application determines a bias direction based on the first position and the second position. The metaverse application determines a bias offset based on the bias direction, the first position, and the second position. The metaverse application a camera position of a virtual camera in the virtual experience based on the bias offset. The metaverse application presents a field of view of a third player in cinematic mode based on the camera position of the virtual camera.

Abstract: A metaverse application receives a first frame of a video. The metaverse application determines facial landmarks of the user in the first frame. The metaverse application generates an animation frame that includes an avatar and a background based on the facial landmarks and the first frame. The metaverse application determines a head orientation of the user in the first frame based on the facial landmarks. The metaverse application maps an orientation of the mobile device to the head orientation of the user. For each additional frame of the video subsequent to the first frame, the metaverse application updates the orientation of the mobile device. The metaverse application generates subsequent animation frames that include the avatar and the background based on the updated orientation of the mobile device in relation to the head orientation.

Abstract: A volatile composition having: (i) greater than 30% of a scented hydrophobic material by weight of the volatile composition, wherein the scented hydrophobic material comprises one or more volatile compounds; and (ii) greater than 20% of a regulating scent intensity (RIS) composition by weight of the volatile composition. The RIS composition has at least two of: a first regulating scent intensity component (RIS component) having a high average vapor pressure (VP); a second RIS component having a medium average VP; and a third RIS component having a low average VP; The average VP of each of said one or more volatile compounds is lower than at least one of the high, medium and low average VPs of the first, second and third RIS components at the same temperature.

Abstract: A method, a network device, and a non-transitory computer-readable storage medium are described in relation to an agnostic-based end device management service. The agnostic-based end device management service may include a network-side service that hosts persona information associated with a user and end devices. The persona information may include executable end device applications, end device application data, context information pertaining to the user and the end devices, end device application session data, and business logic. The end devices of the user may not store and execute the end device applications yet have access and use of end device functionality across varying types of end devices. The network-side service may also simulate the executable environment of an end device when providing an application service to the end device. An end device-side service of the end device may render application data and provide sensory data and input data to the network-side service.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling artificial intelligence to generate new images based on contextual data and to generate digital components based on the images. In one aspect, a method includes receiving one or more queries from a client device of a user. A digital component is selected based on the one or more queries. A customized digital component is generated by obtaining an image of an object corresponding to the selected digital component and generating, using a language model, an image editing prompt for editing the image based on digital component data related to the digital component and query data including the one or more queries and contextual data. The image and the image editing prompt are provided to an image editing model. An edited image is received and used to generate the customized digital component.

Abstract: Techniques are provided for splitting a clone volume from a parent volume whose data is stored within objects of an object store. A transfer map is used to track mappings of selectively created child object identifiers used to subsequently copy the one or more parent objects to create child objects corresponding to the child object identifiers. A consistency point phase is performed. For each child object identifier processed during the consistency point phase, an object state for a corresponding child object is set to a copy pending state. A reverse map is populated with a reverse map entry. The transfer map is traversed to copy the one or more parent objects as the child objects for splitting the clone volume from the parent volume. The reverse map is used to verify that the child objects are successfully created with valid data.

Abstract: The technology is generally directed to using a machine learning model to generate a visualization of an intended wearer wearing one or more source garments by preserving the appearance and shape of the intended wearer and garments, even when the pose and/or environmental details are adjusted based on natural language inputs. The model may include a plurality of layers, each conditioned to warp a different type of garment, adjust the pose of the intended wearer, adjust the environmental details in the output image, etc. The plurality of layers may allow for the garments to be warped simultaneously, as compared to sequentially. When executing the model, the model may receive input images and/or natural language inputs corresponding to the intended wearer, garments, pose, environmental details, or the like. The output of the model may be a realistic visualization of the intended wearer wearing the input garments in an intended pose.

Abstract: This application discloses technology generally relating to a method for generating production-ready images using entity-specific signature information. The methods may include receiving signature inputs relating to signature elements such as logos, attributes, and target audiences. Further, the signature elements may be stored and incorporated into the image generation model to create images relevant to the specific entity. To generate the images using the entity-specific signature, the image generation model determines which signature elements to incorporate into the image based on what is most related to a generative request.

Abstract: The present invention relates to a combination use of a novel Lactobacillus plantarum IMB19 strain and/or polysaccharides derived from the strain with an anticancer drug for preventing or treating tumors. The novel Lactobacillus plantarum IMB19 strain and polysaccharides derived from the strain of the present invention exhibit an excellent ability to stimulate CD8+T cell activity and exhibit excellent Treg cell inhibitory activity, and stimulate and improve antitumor immune response through various mechanisms such as increased macrophage infiltration in CPS tumors and differentiation and reprogramming of macrophages into an inflammatory phenotype (M1). Furthermore, the strain and the polysaccharides may significantly increase antitumor immune response when administered in combination with an anticancer drug, particularly an immuno-anticancer drug such as a PD-1 or PD-L1 inhibitor (e.g.

Abstract: An automated extensibility framework is provided to automatically convert or migrate application extensions from a source system to be used on target applications in a target format. Extension artefacts of an extension of a source application on a source system are obtained. Each of the extension artefacts are parsed into a target format of a target platform based on a type of the corresponding extension artefact. Target applications of the target platform are identified based on an identifier of the source application. Extension simulations are compiled for each of the one or more target applications. Then, a user interface is provided which enables a user to select simulations from among extension simulations. Then the selected simulations are published to the target platform such that the corresponding extensions are implemented in corresponding target applications.

Abstract: Systems and methods for performing a zero-copy volume move between nodes of a distributed storage system are provided. In one example, an approach for performing a zero-copy volume move is proposed in which volume data may be maintained in place within a storage pod and need not be copied to move a given volume between the source node and the destination node. In one embodiment, metadata (e.g., a top-most physical volume block number (PVBN) of a node tree representing the volume at issue) of a write-anywhere file system is copied from the source node to the destination node. Since the storage pod is associated with a global PVBN space that is visible and accessible to all nodes of the distributed storage system, as a result of copying the top-mode PVBN of the volume to the destination node, anything below the top-most PVBN will automatically be visible to the destination node.

Abstract: A system may include one or more devices configured to register a camera device with a core network; assign the camera device to a subscription of a user equipment (UE) device registered with the core network; and assign the camera device to an uplink streaming network slice. The one or more devices may be further configured to assign an uplink streaming video Quality of Service (QOS) class to a data flow sent from the camera device to the core network, wherein the uplink streaming video QoS class guarantees at least one video streaming QoS parameter; and establish the data flow from the camera device to a destination device via the uplink streaming network slice based on the uplink streaming video QoS class.

Abstract: A method for scoring authenticity of a non-fungible token (NFT) using multiple, disparate data sets includes: receiving a scoring request for the NFT; determining a marketplace authenticity score for a marketplace where the NFT is available for purchase based on marketplace metrics; determining a visual authenticity score based on a comparison of visual features of the NFT to visual features of trusted NFTs; determining a wallet authenticity score for a blockchain wallet associated with ownership of the NFT based on a transaction history for the blockchain wallet; calculating a confidence score for the NFT based on a combination of the marketplace, visual, and wallet authenticity scores, the confidence score representing a likelihood that the NFT is authentic; and transmitting the calculated confidence score in response to the received scoring request.