Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The method may be performed by a device. In certain configurations, the device autonomously manages, by a device compute orchestrator (DCO), orchestration of compute resources and network connectivity resources in a network. The device is capable of creating a first cluster for an application executed on the user device and functioning as a master node and a worker node in the first cluster, and joining a second cluster for another application executed on another user device and functioning as a worker node in the second cluster for sharing compute resources and network connectivity resources of the device in the second cluster.

Abstract: It is possible to enable a reception side to easily recognize that metadata is inserted into an audio stream. A metafile including meta information for acquiring an audio stream into which metadata is inserted through a reception device is transmitted. The identification information indicating that the metadata is inserted into the audio stream is inserted into the metafile. At the reception side, it is possible to easily recognize that the metadata is inserted into the audio stream based on the identification information inserted into the metafile.

Abstract: Embodiments of the systems described herein can implement one or more processes remotely delivering customized code to a host application and/or computing device. The host application may be configured as an Application Programming Interface with a customized code processing library that may configure the host application to receive further instructions remotely. The host application may be further configured to execute host code and/or third-party code. The host application may be configured to receive remote application logic, after the host application has been installed on a computing device, and to execute the received application logic to alter the behavior of the host application, such as selectively tracking end user interactions.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, at a first modem and from a first device, one or more data packets. Based on an explicit congestion notification (ECN) capable transport (ECT) codepoint indication in respective header portions of the data packets, the UE may route the data packets from the first modem to two or more queues associated with a second modem of the UE. Based on receiving buffer and link state information associated with the second modem, the UE may perform a congestion indication procedure that is associated with congestion of a communication link associated with the UE. The UE may thereafter transmit, to a second device, packet data from the two or more queues associated with the second modem of the UE based on a respective priority associated with the two or more queues.

Abstract: The present invention is a method for detecting unregistered L2 (Layer-2) switches in a network, comprising of: a first step of collecting switch-port information from L2 switches Sj (1?j) registered in the management table by monitoring apparatus H, wherein, in the management table, the MAC addresses of L2 switches Sj are registered; a second step of detecting MAC addresses M(Zi) (1?j) of one or more unregistered apparatuses existing between L2 switches Sx and Sy registered in the management table based on said switch-port information collected from L2 switches Sx and Sy in the first step, wherein said MAC addresses M(Zi) are detected by identifying the MAC addresses that are contained in the collected switch-port information of both L2 switches Sx and Sy; a third step of identifying MAC addresses M(Xk) (1?k) of one or more L2 switches Xk from among said MAC addresses M(Zi) detected in the second step; a fourth step of registering said MAC addresses M(Xk) identified in the third step in the management tab

Abstract: An approach for enhancing class participation is disclosed. The approach comprises establishing a classroom user group including an instructor user and one or more student users. The approach further comprises providing a feed to the one or more student users, wherein the feed relates to a subject designated for the classroom user group. The approach further comprises monitoring for feedback information by each of the one or more student users in response to the feed. The approach also comprises attributing a participation credit to corresponding one or more of the student users based on the feedback information. The approach further comprises generating a participation score for each of the one or more students according to the attributed participation credit.

Abstract: A conference support device includes: a main conference management unit configured to set a main conference and manage connection of terminal devices participating in the main conference; and an individual conference management unit configured to associate a plurality of individual conferences with the main conference and manage connection of the terminal devices participating in each of the plurality of individual conferences. When first utterance data indicating an utterance content with respect to the main conference has been received from the terminal device, the main conference management unit transmits the first utterance data to the individual conference management unit. When the first utterance data has been received from the main conference management unit, the individual conference management unit transmits the first utterance data to the terminal devices participating in each of the plurality of individual conferences.

Abstract: A method of measuring video stream visual stability, the method including receiving a first set of network packets carrying data of the video stream, determining network performance metrics for a session associated with the first set of network packets, retrieving priority fault errors from a packet header of at least one network packet of the first set of the network packets, adding the priority fault errors and the network performance metrics to time series data, and applying a machine learning model to the time series data to obtain a visual stability score for the first set of network packets.

Abstract: An operation control device includes: a brain-information acquiring unit configured to acquire brain information of a user; a determining unit configured to determine whether the brain information acquired by the brain-information acquiring unit includes brain information corresponding to a first command based on a language system, brain information corresponding to a second command based on a system other than the language system, and brain information corresponding to a third command that is a password; and an executing unit configured to execute processing corresponding to the first command when the determining unit determines that the brain information corresponding to the first command, the brain information corresponding to the second command, and the brain information corresponding to the third command are acquired.

Abstract: Systems and methods for neutral application programming interfaces are disclosed. In one embodiment, the disclosure relates to a system for neutral application programming interfaces. The system may comprise a device. The device may be configured to receive a request. The request may comprise an outer payload and an inner payload. The device may be further configured to parse the outer payload based on a common definition of the outer payload. The device may be further configured to extract information of an action from the outer payload. The device may be further configured to parse the inner payload based on a definition of the action. The device may be further configured to process the action.

Abstract: In some embodiments, increasing network security related to accessing network services may be facilitated. In some embodiments, a request to generate a composite hash with composite hash parameters may be received, where the composite hash parameters comprise (i) user information associated with a first user and (ii) a key. Based on the one or more composite hash parameters, a composite hash may be generated. The composite hash may be transmitted to a local auxiliary device, causing storage of the composite hash at the local auxiliary device. A graphical representation of the composite hash may be generated, and the graphical representation may be transmitted to a user device, where the graphical representation enables access to one or more network resources related to the user information associated with the first user.

Abstract: A negotiation evaluation system determines that a target computing system is experiencing a computing system attack. The negotiation evaluation system determines a set of attack characteristics associated with the computing system attack. Based on the set of attack characteristics, a negotiation estimation model generates response value data describing potential responses to the attack. Based on the response value data, a negotiation communication model generates reply text data describing a reply to the computing system attack. The negotiation evaluation system provides the reply text data to a malicious computing system that is associated with the computing system attack.

Abstract: Techniques for identity domain snapshotting and snapshot consumption using versioning are disclosed. A snapshot of an updated identity domain is received and applied to an identity domain to change the active version of the identity domain from a prior current version to the updated version. The snapshot is consumed by loading data objects in a hierarchical manner into an updated identity domain. While data objects belonging to the snapshot are loaded during consumption of the snapshot, client traffic continues to be served by the prior, non-updated version of the identity domain. Once consumption of the snapshot is completed successfully, the updated version of the identity domain becomes the active version. The prior version is then recorded in a cleanup table denoting that cleanup operations shall be performed for entities related to the data objects and associated with the prior version.

Abstract: A collaborative content management system identifies an application installed on one or more client devices that is susceptible to an attack by using the API calls of the application. The collaborative content management system obtains API calls made by the application and derives API call features. The collaborative content management system inputs the API call features into a machine learning model and receives, as output from the model, a determination of whether the set of API calls represents a C2 attack. In some embodiments, the collaborative content management system, responsive to determining that the set of API calls represents a C2 attack, may take a security action.

Abstract: The present disclosure relates to secure deployment of model weights from a generative artificial intelligence (GenAI) platform to a cloud service. The method includes accessing the model metadata and a set of weights of a GenAI model associated with a GenAI platform. These model weights may be encrypted using a first encryption key that may be provided in the model metadata. These encrypted model weights may be decrypted based on the model metadata by utilizing the first encryption key from the model metadata. Each key may be associated with the specific type of GenAI model. Before storing the model weights from the GenAI platform cloud tenancy to a cloud storage in GenAI home region, the model weights may be encrypted again by utilizing a second encryption key. This encryption by the cloud may enable independent control over the sensitive information during transit and storing.

Abstract: Non-cryptographic hashing using carry-less multiplication and associated methods, software, and apparatus. Under one aspect, the disclosed hash solution expands on CRC technology that updates a polynomial expansion and final reduction, to use initialization (init), update and finalize stages with extended seed values. The hash solutions operate on input data partitioned into multiple blocks comprising sequences of byte data, such as ASCII characters. During multiple rounds of an update stage, operations are performed on sub-blocks of a given block in parallel including carry-less multiplication and shuffle operations. During a finalize stage, multiple SHA or carry-less multiplication operations are performed on data output following a final round of the update stage.

Abstract: The present disclosure provides an IoT system and a method for managing smart gas-integrated data center.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved machine learning techniques for dynamic device quality evaluation. A computing platform may receive driving data from a mobile device. Using the driving data, the computing platform may compute a plurality of driving metrics, which may include: a geopoint expectation rate score, a trips per day rank score, a consecutive geopoint time difference score, a global positioning system (GPS) accuracy rating score, and a distance between consecutive trips score. By applying a machine learning model to the plurality of driving metrics, the computing platform may compute a device evaluation score, indicating a quality of the driving data received from the mobile device. Based on the device evaluation score, the computing platform may set flags, which may be accessible by a driver score generation platform, causing the driver score generation platform to perform an action with regard to the mobile device.

Abstract: A method, network device, system, and non-transitory computer-readable storage medium are described in relation to an dynamic user application control service that includes receiving from an application device, a request for access controls associated with a user application and an end device; generating, per the request, policies pertaining to the access controls, wherein the policies include time-based rules, location-based rules, or application type-based rules; obtaining a current location of the end device; comparing, by the network device, a current time with the time-based rules, the current location with the location-based rules, or an application type for the user application with the application-type rules; generating, per the comparing, a policy decision among the policies pertaining to the access controls; and applying, per the policy decision, the time-based rules, the location-based rules, and the application type-based rules for establishment of an application session with the end device.

Abstract: A media item to be provided to users of a platform is identified. The media item is associated with a media class of one or more media classes. An indication of the media item is provided as input to a machine learning model trained based on historical encoding data to predict, for a given media item, a set of encoder parameter settings that satisfy a performance criterion in view of a respective media class of the given media item. The historical encoding data includes a prior set of encoder parameter settings that satisfied the performance criterion with respect to a prior media item associated with the respective class. Encoder parameter settings that satisfy the performance criterion in view of the media class is determined based on an output of the model. The media item is caused to be encoded using the determined encoder parameter settings.