Abstract: A method for selecting a target cell by a user equipment (UE), includes: detecting a movement of the UE based on a change in a location of the UE and a change in a measured signal power of a serving cell; determining personalized data of a user based on a plurality of user contextual parameters; predicting a destination of the user, and one or more target cells across a path of the user to the destination based on the determined personalized data of the user and the detected movement of the UE; and selecting the target cell from the one or more target cells, based on an artificial intelligence (AI) model. The AI model is configured to update weights of one or more network quality parameters.

Abstract: Methods and systems are disclosed for tailoring related episode content within an episode, thereby improving a user's experience. In response to receiving a request for an episode, several factors may be considered when determining how much of the related episode content to provide. These factors may include information such as whether the user has already viewed a previous episode, the elapsed time since viewing the previous episode and a user preference. Related episode content may be modified to remove portions previously viewed by a user, depending on factors such as the elapsed time and a user preference.

Abstract: Methods, systems and computing devices are described herein for monitoring a premises when residents or other users are present in order to detect patterns of activity at the premises. Such patterns may comprise, for example, a typical schedule indicating usage of one or more devices by one or more users of the premises. When a user is away or otherwise inactive, commands may be sent to various user devices to make it appear (e.g., to those outside the premises) as if the user is present by simulating and/or recreating the patterns that were previously detected.

Abstract: A method of managing a memory system is described, the memory system having a processor with a client interface, a buffer memory, and a storage memory. A LUN (logical unit) is exposed to the client, the LUN having a memory size, and QoS specification. When the processor receives a command from the client to write data to the LUN, determining if the QoS specification includes deduplication and: if the QoS does not include deduplication, processing the command by storing the data in the storage memory and creating metadata uniquely referencing a storage location of the data that is written; or if the QoS includes deduplication, determine if deduplication is possible while meeting a latency value as specified in the QoS specification and performing deduplication.

Abstract: A device, system and method are provided that may allot and manage bandwidth, such as bandwidth associated with broadcast and narrowcast distribution models for content item transmission, for example, in a content distribution network. The device, system and method may manage transmission based on the output information of the content items.

Abstract: An apparatus, system and method are disclosed for resolving bandwidth constriction using multiple bandwidths and/or multiple content delivery paths. The apparatus, system and method may include recording requested video content and/or delivering the recorded video content to resolve bandwidth constriction using alternate bandwidths or delivery paths.

Abstract: In one set of embodiments, a computer system can determine that one or more attacks have been or are in the process of being perpetrated against an anomaly detection system, where the anomaly detection system comprises a set of machine learning (ML) models trained to detect anomalous application programming interface (API) call behavior in a microservice-based application based on API call traces collected from the application. In response to this determination, the computer system can initiate one or more actions for securing the anomaly detection system against the one or more attacks.

Abstract: In one set of embodiments, a computer system can receive one or more application programming interface (API) call traces comprising metadata of API calls made by an application and can extract features from the one or more API call traces, the extracting resulting in one or more feature vectors. The computer system can then provide the one or more feature vectors as input to one or more machine learning (ML) models, where the one or more ML models are configured to generate a prediction for each of the one or more API call traces indicating whether the API call corresponding to the API call trace is normal or anomalous.

Abstract: In one set of embodiments, a computer system can receive one or more application programming interface (API) call traces comprising metadata of API calls made by a microservice-based application and can evaluate the one or more API call traces against a baseline of normal API call behavior for the application. The computer system can then generate, based on the evaluation, a prediction for each of the one or more API call traces indicating whether the API call corresponding to the API call trace is normal or anomalous.

Abstract: Methods, systems and computing devices are described herein for monitoring a premises when residents or other users are present in order to detect patterns of activity at the premises. Such patterns may comprise, for example, a typical schedule indicating usage of one or more devices by one or more users of the premises. When a user is away or otherwise inactive, commands may be sent to various user devices to make it appear (e.g., to those outside the premises) as if the user is present by simulating and/or recreating the patterns that were previously detected.

Abstract: A device, system and method are provided that may allot and manage bandwidth, such as bandwidth associated with broadcast and narrowcast distribution models for content item transmission, for example, in a content distribution network. The device, system and method may manage transmission based on the output information of the content items.

Abstract: Aspects discussed herein relate to systems, apparatuses, and methods to determine when a user remains engaged or stops paying attention to a content item. In response, a snapshot of the user's activity and environment may be obtained to ascertain the reason the user stopped paying attention. If the user stopped paying attention as a result of being uninterested in the content item, the system may replace the content item, such as an advertisement, with a different content item to regain the user's attention. Further, demographic information and the user's interests may be updated for use in scheduling future content items.

Abstract: Methods and systems are disclosed for tailoring related episode content within an episode, thereby improving a user's experience. In response to receiving a request for an episode, several factors may be considered when determining how much of the related episode content to provide. These factors may include information such as whether the user has already viewed a previous episode, the elapsed time since viewing the previous episode and a user preference. Related episode content may be modified to remove portions previously viewed by a user, depending on factors such as the elapsed time and a user preference.

Abstract: An apparatus, system and method are disclosed for resolving bandwidth constriction using multiple bandwidths and/or multiple content delivery paths. The apparatus, system and method may include recording requested video content and/or delivering the recorded video content to resolve bandwidth constriction using alternate bandwidths or delivery paths.

Abstract: Fixed dose HER2 antibody formulations for subcutaneous administration are provided along with their use in the treatment of cancer. The formulations include fixed dose subcutaneous formulations of pertuzumab and subcutaneous co-formulations of pertuzumab and trastuzumab, and their use in the treatment of cancer.

Abstract: Fixed dose HER2 antibody formulations for subcutaneous administration are provided along with their use in the treatment of cancer. The formulations include fixed dose subcutaneous formulations of pertuzumab and subcutaneous co-formulations of pertuzumab and trastuzumab, and their use in the treatment of cancer.

Abstract: Aspects discussed herein relate to systems, apparatuses, and methods to determine when a user remains engaged or stops paying attention to a content item. In response, a snapshot of the user's activity and environment may be obtained to ascertain the reason the user stopped paying attention. If the user stopped paying attention as a result of being uninterested in the content item, the system may replace the content item, such as an advertisement, with a different content item to regain the user's attention. Further, demographic information and the user's interests may be updated for use in scheduling future content items.

Abstract: An apparatus, system and method are disclosed for resolving bandwidth constriction using multiple bandwidths and/or multiple content delivery paths. The apparatus, system and method may include recording requested video content and/or delivering the recorded video content to resolve bandwidth constriction using alternate bandwidths or delivery paths.

Abstract: An apparatus, system and method are disclosed for resolving bandwidth constriction using multiple bandwidths and/or multiple content delivery paths. The apparatus, system and method may include recording requested video content and/or delivering the recorded video content to resolve bandwidth constriction using alternate bandwidths or delivery paths.

Abstract: A system including a user interface, a memory, and a processor configured to perform operations stored in the memory is disclosed. The operations may include receiving an application specification including an application algorithm, and extracting from the application algorithm a first and a second node. The first node may include a first component of the application algorithm, and the second node may include a second component of the application algorithm that may be different from the first component. The operations may include analyzing execution dependency of the first node on the second node. The analyzing execution dependency may include analyzing computational requirements, bandwidth requirements, and input trigger requirements of the first node and the second node based on parallelism of available resources.