Abstract: A cloud service system manages a filter repository including filters for encoding and decoding media content (e.g. text, image, audio, video, etc.). The cloud service system may receive a request from a client device to provide a filter for installation on a node such as an endpoint device (e.g. pipeline node). The request includes information such as a type of bitstream to be processed by the requested filter. The request may further include other information such as hardware configuration and functionality attribute. The cloud service system may access the filter repository that stores the plurality of filters including encoder filters and decoder filters and may select a filter that is configured to process the type of bitstream identified in the request and provide the selected filter to the client device.

Abstract: A message addressed to a user is received. A first model is applied to the message to produce a first output indicative of whether the message is representative of a non-malicious message. The first model is trained using past messages that have been verified as non-malicious messages. It is determined, based on the first output, that the message is potentially a malicious message. Responsive to determining that the message is potentially a malicious email based on the first output, apply a second model to the message to produce a second output indicative of whether the message is representative of a given type of attack. The second model is one of a plurality of models. At least one model included in the plurality of models is associated with characterizing a goal of the malicious message. An action is performed with respect to the message based on the second output.

Abstract: During operation, the computer system (such as a controller) may receive, from an access point, information specifying an electronic device that has the connection with the access point. Then, based at least in part on the information, the computer system may store a mapping between the electronic device and the access point. Moreover, the computer system may receive, from the access point or a second access point, a notification message, where the notification message is associated with an orphan notification of the electronic device. Next, in response to receiving the notification message, the computer system may perform a look-up operation for the electronic device in the stored mapping. Furthermore, when the electronic device is included in the stored mapping, the computer system may selectively provide, to the access point and based at least in part on the stored mapping, second information specifying the electronic device.

Abstract: A method for secure data synchronization and sharing between distinct cloud environments is disclosed. The method involves establishing a trust relationship between a data provider's private cloud deployment and a data consumer's public cloud deployment. Utilizing hardware processors, a cross-region group sharing token is generated and validated to facilitate secure communication and data traffic between the two cloud deployments. Upon validation, a firewall policy that previously restricted data exchange is disabled, allowing for the replication of a target database from the private cloud to a secure share area accessible by the public cloud deployment. The data consumer is then enabled to access and utilize the replicated database within this secure area. The method ensures consistent data management across both deployments by managing the synchronization of the replicated database with the data provider's original database, thereby maintaining data consistency and integrity.

Abstract: In one embodiment, dynamic user private networks are virtually segmented within a shared virtual network. A network control system maintains the dynamic logical segmentation of the shared virtual network. User entities (e.g., user devices and/or services) are communicatively coupled to respective personal virtual networks via endpoints of access devices. Each of these endpoints is associated with a corresponding user private network. Responsive in real-time to automated processing of a received electronic particular user request, the network control system automatically modifies the dynamic logical segmentation of the shared virtual network to move a particular user entity on the shared virtual network to newly being on the first dynamic user private network without being disconnected from the shared virtual network. One embodiment uses different user private network identifiers (UPN-IDs) associated with endpoints and received packets to identify their respective user private network.

Abstract: A compression system trains a machine-learned compression model that includes components for an encoder and decoder. In one embodiment, the compression model is trained to receive parameter information on how a target frame should be encoded with respect to one or more encoding parameters, and encodes the target frame according to the respective values of the encoding parameters for the target frame. In particular, the encoder of the compression model includes at least an encoding system configured to encode a target frame and generate compressed code that can be transmitted by, for example, a sender system to a receiver system. The decoder of the compression model includes a decoding system trained in conjunction with the encoding system. The decoding system is configured to receive the compressed code for the target frame and reconstruct the target frame for the receiver system.

Abstract: The present disclosure, in some embodiments, relates to a method of generating a prognosis for a patient. The method includes accessing automatically segmented pericoronary adipose tissue (PCAT) corresponding to a patient within an electronic memory. A plurality of non-confounding PCAT features are generated by measuring values of Hounsfield units for an imaging unit within the PCAT. The measured values of the Hounsfield units are predominately free of iodine confounding and artifacts. The plurality of non-confounding PCAT features are provided to a regression model.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may determine that the staged job needs to be executed by a baseboard management controller (BMC) while an information handling system (IHS) is held in a power-on self-test; create a hybrid job associated with the staged job; reboot the IHS; launch an IHS firmware application in a pre-boot IHS firmware environment; provide, to the BMC, a command to execute a first portion of the hybrid job; obtain, by the BMC, an authentication key; provide, by the BMC, the authentication key to the non-volatile storage device; execute, by the BMC, the first portion of the hybrid job to configure the non-volatile storage device; and execute, by the IHS firmware application, the second portion of the hybrid job to poll the baseboard management controller for a result status of configuring the non-volatile storage device.

Abstract: Systems and methods for synchronization are provided. In some aspects, a method for synchronizing an image sensor is provided. The method includes receiving image data captured using an image sensor that is moving along a pathway, and assembling an image sensor trajectory using the image data. The method also includes receiving position data acquired along the pathway using a position sensor, wherein timestamps for the image data and position data are asynchronous, and assembling a position sensor trajectory using the position data. The method further includes generating a spatial transformation that aligns the image sensor trajectory and position sensor trajectory, and synchronizing the image sensor based on the spatial transformation.

Abstract: Herein, a computer generates and evaluates many preprocessor configurations for a window preprocessor that transforms a training timeseries dataset for an ML model. With each preprocessor configuration, the window preprocessor is configured. The window preprocessor then converts the training timeseries dataset into a configuration-specific point-based dataset that is based on the preprocessor configuration. The ML model is trained based on the configuration-specific point-based dataset to calculate a score for the preprocessor configuration. Based on the scores of the many preprocessor configurations, an optimal preprocessor configuration is selected for finally configuring the window preprocessor, after which, the window preprocessor can optimally transform a new timeseries dataset such as in an offline or online production environment such as for real-time processing of a live streaming timeseries.

Abstract: One embodiment of the present invention sets forth a technique for processing unstructured data. The technique includes applying one or more machine learning models to a set of candidate topics extracted from the unstructured data to determine a set of activities of interest included in the set of candidate topics. The technique also includes generating a set of scores for the activities of interest, wherein each score included in the set of scores represents an estimated impact of a corresponding activity of interest on operations within a domain. The technique further includes determining one or more activities included in the set of activities of interest based on a ranking of the activities of interest by the scores, and causing one or more alerts to be outputted in a user interface, wherein each of the alerts is associated with a potential event related to the one or more activities.

Abstract: A pivot chain end for a jewelry is provided in the present embodiment. The pivot chain end has a 360 degree linking mechanism for chains having jewelry items which helps in arresting the improper fall issue of the necklace when worn by a wearer. The pivot chain end includes an eyelet which is circular in shape linked with a back chain having an abutted cylindrical portion with a through hole and a metal disc having three flat flanks and one curved ridged side, wherein the metal disc allows the screw to pass through within the disc and connect the eyelet, through a partially threaded body on the screw, thereby securing the metal disc with the eyelet and enabling the eyelet to freely rotate 360 degree axially as per movement of the back chain.

Abstract: In some examples, temporal impact analysis of cascading events on metaverse-based organization avatar entities may include determining a temporal impact of a metaverse event on a specified organization avatar entity. With respect to the specified organization avatar entity, a similarity of the metaverse event may be determined in a current temporal context to past events. A reaction plan of a plurality of reaction plans may be selected from an event database and based on the determined similarity. Based on an analysis of the temporal impact with respect to the selected reaction plan, instructions may be generated to execute the selected reaction plan by a metaverse operating environment.

Abstract: Methods of mitigating line bending during feature fill include deposition of a nucleation layer having increased roughness. In some embodiments, the methods include depositing two or more metal nucleation layers.

Abstract: Aspects relate to Input/Output (IO) Memory Management Units (MMUs) that include hardware structures for implementing virtualization. Some implementations allow guests to setup and maintain device IO tables within memory regions to which those guests have been given permissions by a hypervisor. Some implementations provide hardware page table walking capability within the IOMMU, while other implementations provide static tables. Such static tables may be maintained by a hypervisor on behalf of guests. Some implementations reduce a frequency of interrupts or invocation of hypervisor by allowing transactions to be setup by guests without hypervisor involvement within their assigned device IO regions. Devices may communicate with IOMMU to setup the requested memory transaction, and completion thereof may be signaled to the guest without hypervisor involvement. Various other aspects will be evident from the disclosure.

Abstract: Systems, methods, apparatuses, and computer program products for the acquisition and provision of channel state information for a target cell early in the process of layer one/layer two inter-cell mobility are provided. For example, a method can include a user equipment receiving a first configuration of layer one measurement and reporting together with a second configuration for channel state information measurement and reporting for a candidate cell. The method can also include reporting layer one measurement according to the first configuration. The method can further include performing channel state information measurements according to the second configuration. The method can additionally include reporting the channel state information measurements to a network element to be forwarded to the candidate cell.

Abstract: A mixer assembly for a gas turbine engine. The mixer assembly includes a housing and a fuel injection port. The housing has a passage formed therein, and the housing includes a passage wall facing the passage. The fuel injection port is fluidly connected to a fuel source and is configured to inject a hydrocarbon fuel into the passage. At least a portion of the passage wall is a coated passage wall. The coated passage wall is (i) coated with a layer of catalyst particles comprising a rare earth oxide component and (ii) located downstream of the fuel injection port.

Abstract: An apparatus including at least one processor; and at least one non-transitory memory storing instructions that, when executed with the at least one processor, cause the apparatus to perform: receiving a combined information, where the combined information includes first information regarding inter-cell beam management and second information regarding lower layer mobility; using the second information to initiate a handover of the apparatus from a first cell to a second cell; and using the first information to provide communication of the apparatus with another cell at least partially during the handover to the second cell, where the another cell includes the first cell or a third cell.

Abstract: A data item is programmed to a first set of physical management units (MUs) associated with a memory sub-system in accordance with a first pass programming operation of a multi-pass programming scheme. An entry of a data structure is updated to include a mapping that associates a first physical address associated with the first set of physical MUs with a set of virtual MUs associated with the memory sub-system. A detection is made that a second pass programming operation of the multi-pass programming scheme is initiated to program the data item to a second set of physical MUs associated with the memory sub-system. Responsive to the detecting, the entry of the data structure is updated to include an additional mapping that associates the set of virtual MUs with a second physical address associated with the second set of physical MUs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving a request from a client to process a computational graph; obtaining data representing the computational graph, the computational graph comprising a plurality of nodes and directed edges, wherein each node represents a respective operation, wherein each directed edge connects a respective first node to a respective second node that represents an operation that receives, as input, an output of an operation represented by the respective first node; identifying a plurality of available devices for performing the requested operation; partitioning the computational graph into a plurality of subgraphs, each subgraph comprising one or more nodes in the computational graph; and assigning, for each subgraph, the operations represented by the one or more nodes in the subgraph to a respective available device in the plurality of available devices for operation.