Abstract: A processing system includes a memory controller subsystem connected to a communication channel configured to be connected to an external memory, wherein the communication channel comprises a data signal, and a master circuit is configured to send write and read requests to the memory subsystem. The memory controller subsystem comprises first and second memory controllers. In response to receiving a write request, each memory controller generates a respective first or second communication for storing the respective data to the respective memory address by generating a respective first or second data signal used to transmit the respective memory address and the respective data. Conversely, in response to receiving a read request, each memory controller generates the respective first or second communication for receiving data associated with the respective memory address by generating the respective first or second data signal to transmit the respective memory address and receive the respective data.

Abstract: An architecture of an enterprise can be fully on on-premises with multiple computing systems or on cloud or on Hybrid. Enterprise information technology (IT) departments are continually adopting new technologies and changes leads more complex, and increased probability of service disruption, through malfunctions in software, hardware, networks, natural disasters, simple human error. Embodiments of the present disclosure provide a method and system to detect problem associated with the computing system in an enterprise. A plurality of data associated with each resource in the enterprise is received. The plurality of data is considered to iteratively perform (a) derive a parameter associated with a metric data, and an incident data to obtain an analyzed data, (b) detect a problem associated with each resources by processing the plurality of analyzed data based on a propositional logic, and (c) generate a feedback associated with each problem of the resources in a subsequent iteration.

Abstract: Synthetic endornaviral satellite RNA molecules and satellite particles containing the same are disclosed. The synthetic endornaviral satellite RNA molecules can include coding and/or non-coding cargo sequences, and are heritable through generations of plants. Also disclosed are methods of using the endornaviral satellite RNA molecules and satellite particles containing the same to change plant phenotypes, improve plant stress resistance, and improve plant pest and pathogen resistance.

Abstract: A method includes: accessing a corpus of emails sent from a email account prior to the initial time period; correlating sequences of words, in the corpus of emails, with language signals; aggregating the language signals into a sender model that represents combinations of language signals characteristic of language in emails sent from the email account; later, accessing a email outbound from the email account and directed to a recipient; scanning the email for the set of language signals; correlating sequences of words in the email with language signals; calculating a similarity score for the email based on the subset of language signals detected in the email and the sender model; and, in response to the similarity score falling below a threshold similarity, flagging the email as suspicious and redirecting the email away from the recipient.

Abstract: Systems, methods, and other embodiments described herein relate to a multi-task model that integrates recurrent models to improve handling of multi-sweep inputs. In one embodiment, a method includes acquiring sensor data from multiple modalities. The method includes separately encoding respective segments of the sensor data according to an associated one of the different modalities to form encoded features using separate encoders of a network. The method includes accumulating, in a detector, sparse features associated with sparse sensor inputs of the multiple modalities to densify the sparse features into dense features. The method includes providing observations according to the encoded features and the sparse features using the network.

Abstract: Examples described herein include systems and methods for performing distributed encryption across multiple devices. An example method can include a first device discovering a second device that shares a network. The device can identify data to be sent to a server and calculate a checksum for that data. The device can then split the data into multiple portions and send a portion to the second device, along with a certificate associated with the server for encrypting the data. The first device can encrypt the portion of data it retained. The first device can receive an encrypted version of the second portion of the data sent to the second device. The first device can merge these two portions and send the merged encrypted data to the server, along with the checksum value. The server can decrypt the data and confirm that it reflects the original set of data.

Abstract: Data sets may be enhanced to create data stores. Request to create data stores may be received. As part of performing the request to create a data store, items stored in an extensible data format may be identified for machine learning enhancement. Machine learning models may be applied to generate additional data from data in the items. The additional data may be added to extend the items and store the extended items in a new data store.

Abstract: Provided is a method that operates to enhance the color understanding capabilities of an image-text embedding model. The proposed approach can include modifying an initial image depicting an object of a certain color to generate a modified image where the object has a different color. This can be done by adjusting the color values of the pixels in the initial image. For example, an image of a red apple can be modified to depict a green apple. The technology then trains an image-text embedding model using this modified image and a text prompt that describes the modified image.

Abstract: A method for routing data traffic for an Internet service in a communication network includes detecting, using an Internet service disruption routing module, a failure of a component in a first Internet service chain in the communication network. The first Internet service chain includes a first user plane function (UPF) and a first Internet interface, and has at least one assigned session. The method further includes selecting, using the Internet service disruption routing module, at least one component of a second Internet service chain, transmitting, using the Internet service disruption routing module, a signal to a RAN in the communication network indicating the selected at least one component of the second Internet service chain, and redirecting, using the RAN, data traffic for the at least one assigned session of the first Internet service chain to the at least one component of the second Internet service chain.

Abstract: An apparatus and method for locating a position of an electrode on an organ model. The apparatus includes a memory communicatively connected to at least a processor, wherein the memory contains instructions configuring the at least a processor to receive an organ model configured to digitally represent an organ, receive a set of sensor data from at least a sensor including an ultrasound sensor, determine an electrode position within the organ model as a function of the set of sensor data using a position machine-learning module, wherein determining the electrode position includes determining a model position within the organ model as a function of the set of sensor data and determining the electrode position within the model position of the organ model as a function of the set of sensor data and add a visual marker onto the electrode position in the model position of the organ model.

Abstract: An apparatus is communicatively coupled to a plurality of databases in a service-based architecture and comprises a memory and a processor. The memory stores multiple configuration commands. The processor is configured to generate a request to establish a communication session in which a network component accesses a first database and a second database based at least in part upon a configuration command of the configuration commands. The network component exchanges connectivity signals with the first database and the second database. The first database provides database operations in response to the connectivity signals exchanged with the network component. The first database reports to the second database that the database operations are provided. The processor is further configured to, in response to determining that the communication session between the network component and the first database is lost, maintain the communication session to access the second database.

Abstract: Disclosed are approaches for providing per-application tunnel access, such as virtual private network (VPN) access, in LINUX based systems. In response to an application requesting a network connection, a process identifier of the application and an inode identifier representing a socket for the network connection are obtained. Then, a kernel space map is updated to include the process identifier of the application and the inode identifier. In response to the application making a network connection request, the inode identifier of the application is obtained based at least in part on a source network address, a source port number, a destination network address, and a destination port number. Then, the kernel space map is queried to obtain the process identifier of the application, wherein the inode identifier is a query parameter. Then, a routing policy is identified based at least in part on the process identifier.

Abstract: Methods, apparatuses, systems, computing entities, and/or the like are provided. An example method may include retrieving a scheme data object; generating a tabular data object; generating a graph data object including a plurality of nodes and a plurality of edges; calculating, based on the graph data object, a plurality of node attributes for the plurality of nodes and a plurality of edge attributes for the plurality of edges; identifying at least one irregular member node from the plurality of member nodes; identifying at least one irregular referring provider node from the plurality of referring provider nodes; identifying at least one irregular servicing provider node from the plurality of servicing provider nodes based at least in part on the at least one irregular member node and the at least one irregular referring provider node; and performing one or more responsive actions.

Abstract: Disclosed are various approaches for remote working experience optimization. In some examples, a management service receives task execution data and corresponding user data for multiple client devices. The management service inputs target user context data along with the task execution data and the corresponding user data into a prediction model to identify a task and a task schedule that indicates a time to download and cache task content. Instructions are transmitted for a management agent to download and cache the task content according to the task schedule.

Abstract: Described are systems and methods for clock gating components on a system-on-chip. A processing system includes one or more cores, each core including a clock gating enable bit register which is set by software when an expected idle period of the core meets or exceeds a clock gating threshold, and a power management unit connected to the one or more cores. The power management unit configured to receive an idle notification from a core of the one or more cores and initiate clock gating a clock associated with the core when the core and additional logic is quiescent and the clock gating enable bit register is set. The clock gating threshold is a defined magnitude greater than a clock wake-up time.

Abstract: In some embodiments, an apparatus for generating a three-dimensional (3D) model with an overlay may include at least a processor; and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a set of ultrasonic images of a structure; generate a set of shape parameters representing the structure's shape as a function of the set of ultrasonic images and a shape identification model trained on a training dataset comprising historical ultrasonic images correlated with historical computed tomography scan data; generate a 3D model of the structure based on the set of shape parameters; generate a map by determining a level of uncertainty at each location of a plurality of locations on the 3D model; and overlay the map onto the 3D model.

Abstract: Methods, systems, and bitstream syntax are described for the carriage of neural network topology and parameters as related to neural-network-based post filtering (NNPF) in image and video coding. Examples of NNPF SEI messaging as applicable to the MPEG standards for coding video pictures are described at the sequence layer and at the picture layer.

Abstract: An apparatus and method for generating a three-dimensional (3D) model of cardiac anatomy including an overlay. The apparatus includes at least a processor configured receive a set of images of a cardiac anatomy pertaining to a subject, generate a set of shape parameters based on the set of images, wherein generating the set of shape parameters includes receiving cardiac geometry training data including a plurality of image sets as input correlated to a plurality of shape parameter sets as output, training a shape identification model using the cardiac geometry training data, and generating the set of shape parameters using the shape identification model, generate a 3D model of the cardiac anatomy based on the set of shape parameters, generate a map by determine a level of uncertainty at each location of a plurality of locations on the generated 3D model, and overlay the map onto the 3D model.

Abstract: Various arrangements for performing health monitoring of cellular network functions in a cloud-computing environment are presented. A cloud computing region may be input for analysis. A 5G cellular network core may be implemented on a cloud computing platform. Input of a cellular core function for analysis may also be received. Instantiations of the cellular core function and pods of the cellular core function executed within the cloud computing region can be identified. A customized test query can be performed based on the input of the cellular core function. A status of the cellular core function can be output based on the customized test query.

Abstract: Provided herein is a method for reviewing code. The method can comprise parsing the code to generate a structural representation of the code, wherein the structural representation comprises a graph representative of the code. The method can comprise processing the code and the structural representation to generate a context for the code based at least in part on the graph. The method can comprise processing the context and a set of prompts to generate a set of contextualized prompts, wherein at least two prompts in the set of prompts are specific for different categories of issues. The method can comprise prompting a first set of language models with the set of contextualized prompts to generate a set of issue reports. The method can comprise prompting a second set of language models to generate a set of validated issue reports comprising a set of non-hallucinated issue report.