Abstract: An example apparatus includes: bandwidth estimator circuitry configured to: obtain a first memory transaction; and determine a consumed bandwidth associated with the memory transaction; and gate circuitry configured to: permit transmission of the memory transaction to a memory controller circuitry; determine whether to gate a second memory transaction generated by a source of the first memory transaction based on the consumed bandwidth of the first memory transaction; and when it is determined to gate the second memory transaction, prevent transmission of the second memory transaction for an amount of time based on the consumed bandwidth.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to formulate a plurality of constraints, determine a final input modification to a nominal input that minimizes a cost function subject to the constraints, and actuate a component of a vehicle according to the nominal input and the final input modification. Each constraint indicates a respective obstacle relative to the vehicle. Each constraint is represented as a linear inequality in a two-dimensional space with dimensions for acceleration and steering angle. The nominal input includes a nominal acceleration and a nominal steering angle. The final input modification includes a final change to the nominal acceleration and a final change to the nominal steering angle. The computer determines the final input modification by individually calculating the cost function for a plurality of potential input modifications that are on the constraints.

Abstract: Disclosed herein are inhibitors, such as antibodies, and antigen-binding portions thereof, that selectively bind complexes of LTBP1-TGF? and/or LTBP3-TGF?. The application also provides methods of use of these inhibitors for, for example, inhibiting TGF? activation, and treating subjects suffering from TGF?-related disorders, such as fibrotic conditions. Methods of selecting a context-dependent or context-independent isoform-specific TGF? inhibitor for a subject in need thereof are also provided.

Abstract: A method for maintaining a process bus communication network is provided. The method involves querying data values from client devices within the network. Data values are then received from both publisher devices of these client devices, which broadcast data across the network, and from subscriber devices of these client devices, which seek the broadcasted data. The method further includes analysing these received data values to detect anomalies in the process bus communication network. Each detected anomaly is subsequently categorized into a configuration problem at a publisher device, a communication obstacle stemming from a mismatch between a publisher device and its corresponding subscriber device, or a configuration issue at a subscriber device. The method further provides an output that includes the specifics of these identified anomalies, along with their respective classifications.

Abstract: Digital image outline generation techniques that leverage context of a digital image are described. In one or more examples, an outline generation system detects a context of a digital image, e.g., using a machine-learning model to detect a context of an outdoor scene, indoor scene, presence of a salient object, and so on. The outline generation system then selects a context processing module from a plurality of context processing modules based on the detected context to generate candidate outlines that are then vectorized to generate an image outline.

Abstract: A computerized method is disclosed including obtaining an electronic message, performing a cyberthreat detection process thereon, which includes a first sub-analysis of the body and subject line information of deploying a probabilistic generative model resulting in determination of a likelihood that the electronic message is directed to one of a predefined set of topics, and when the likelihood that the electronic message is directed to one of the predefined set of topics meets or exceeds a first threshold, deploying one or more artificial intelligence models to determine or classify a semantics of the email body or subject, and a second sub-analysis of the header information of performing a heuristic analysis thereof, and performing a determination operation by either a relationship compiler resulting in a determination as to whether the electronic message is malicious or benign, and generating a display that provides the maliciousness determination.

Abstract: Techniques for estimating and/or predicting a hydration index, hydration level change, hydration level, core body temperature index, core body temperature change, and/or core body temperature level noninvasively based on plethysmograph and/or ECG signals.

Abstract: Disclosed herein are apparatus, system, method, and computer-readable medium aspects for extracting themes from textual data. Textual data is initially cleansed from its submitted form into a simplified form for improved accuracy of topic extraction. From the cleansed text, phrases are extracted. Embeddings of the phrases are then determined so that similarities can be identified between different phrases within the text. Using these embodiments, clustering is performed on the embeddings to reveal the topics included within the text submission, as well as their frequency and relationship to one another. This clustering processing can be repeated at multiple levels of granularity for improved accuracy. Based on an analysis of the resulting clusters, a graphical representation of the clusters at the various levels is generated to provide an easy-to-understand indication of the body of text and the topics and themes included therein.

Abstract: This disclosure provides methods, components, devices, and systems for enhanced data channel access (EDCA) for coordinated channel access. Some aspects more specifically relate to EDCA prioritization for accessing a wireless channel during restricted target wakeup time (rTWT) service periods (SPs). For example, a first wireless device may receive an indication of EDCA parameters defined for the first wireless device with respect to an rTWT SP of a second wireless device. In such examples, the first wireless may contend for access to a wireless channel during the rTWT SP of the second wireless device using the EDCA parameters according to the received indication. In some implementations, the second wireless device may broadcast a beacon including the EDCA parameters. In some other implementations, the second wireless device may transmit one or more rTWT negotiation messages including the EDCA parameters defined for the first wireless device.

Abstract: A method for locating at least one anomaly in a spatio-temporal piece of data includes obtaining a spatio-temporal piece of data, obtaining a neural network configured to generate a piece of information of locating at least one anomaly from a spatio-temporal piece of data, generating, by the neural network obtained, the piece of information of locating the at least one anomaly by providing the spatio-temporal piece of data obtained to the neural network, obtaining an accuracy score provided by a user evaluating an accuracy of the generated piece of information of locating the at least one anomaly, reinforcement learning the neural network, and similarity learning the neural network reinforcement learned.

Abstract: A method, system, and a computer program product for improving scheduling of workload by identifying faults in systems is disclosed. The present invention may include receiving a configuration file associated with a configuration of the set of systems used for execution of a workload. The present invention may include retrieving event data associated with a set of events. The present invention may include determining a first set of parameters from first event data associated with a first event of the set of events. The present invention may include assigning an output label to a first workload termination parameter based on the first set of parameters and a presence of first configuration data within the received configuration file. The present invention may include storing the assigned output label to the first workload termination parameter in memory.

Abstract: A computerized method is disclosed including operations of obtaining and parsing an electronic message into components including body and subject line information and determining a likelihood that the electronic message is directed to one of a predefined set of topics by deploying a probabilistic generative model, wherein the electronic message has a likelihood of being directed to a first topic of at least a first threshold. The operations may also include generating a prompt for a language model based on the first topic, providing the prompt and the body and subject line information of the electronic message to the language model, and generating a semantic result based on a response to the prompt from the language model. The electronic message may be classified by a relationship compiler or a neural network as malicious or benign based on the semantic result.

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for recommending content items. For example, a first content item unassociated with interaction-based data is determined. A description-based representation of the first content item, an image-based representation of the first content item, and/or a metadata-based representation of the first content item is obtained from machine learning model(s). Such representation(s) are provided as an input to a neural network. A first interaction-based representation of the first content item based on such representation(s) is received as an output from the neural network. A measure of similarity is determined between the first interaction-based representation and second interaction-based representation(s) of second content item(s).

Abstract: A disposable defecation pocket for containing feces is disclosed. The pocket has an opening, a perimeter around the opening, a bottom, and a side wall. The pocket is able to expand from a flat, collapsed configuration to an erected configuration, wherein the erected configuration provides a void volume inside the pocket. The pocket is, at least partly, in its erected configuration in the absence of any applied pressure.

Abstract: A method and apparatus for upgrading libraries in a source code program by evaluating libraries in the source code program for predetermined selection criteria specifying library performance limitations to identify at least a first library which does not meet the plurality of predetermined selection criteria and then identifying a first alternative library that is suitable for substitution for the first library so that the source code program may be automatically modified to replace the first library with the first alternative library, thereby generating a modified source code program having an upgraded library functionality.

Abstract: A device may receive a notification message to be securely delivered to a recipient associated with a user device, and may validate the recipient. The device may generate a secure sanitized summary message, for the notification message, based on predefined templates or based on a natural language processing model, and may generate a token for the notification message. The device may store the notification message, the token, and entitlement information for the recipient in a data structure, and may provide, via an OTA infrastructure, the secure sanitized summary message and the token to the user device. The device may receive, from the user device, the token based on a selection of the secure sanitized summary message by the recipient, and may retrieve the notification message from the data structure based on the token. The device may provide the notification message to the user device associated with the recipient.

Abstract: A method of determining a fraud network comprising: receiving address information regarding a first address; determining, using an address risk machine learning model, a first address risk score associated with the first address; identifying a first entity associated with the first address based on the first address risk score; determining at least one of a second address and a second entity associated with the first entity; and generating a fraud network profile including the first address, and the at least one of the second address and second entity.

Abstract: Embodiments described herein provide techniques to facilitate instruction-based control of memory attributes. One embodiment provides a graphics processor comprising a processing resource, a memory device, a cache coupled with the processing resources and the memory, and circuitry to process a memory access message received from the processing resource. The memory access message enables access to data of the memory device. To process the memory access message, the circuitry is configured to determine one or more cache attributes that indicate whether the data should be read from or stored the cache. The cache attributes may be provided by the memory access message or stored in state data associated with the data to be accessed by the access message.

Abstract: A method, system, and computer program product for context relevant data migration to a cloud server with job rescheduling are provided. The method identifies a contextual situation associated with at least a portion of data sets available for migration to a cloud server by a set of data sources. The method identifies an application associated with the contextual situation. A set of use characteristics are determined for the data sets based on the contextual situation and the application. Bandwidths are determined for one or more data sources. One or more data sets are selected for prioritization based on a contextual relevance, the set of use characteristics, and the bandwidths for the one or more data sources. The method schedules a job processing sequence of the selected one or more data sets based, at least in part, on the contextual relevancy, the set of use characteristics, and the bandwidths.

Abstract: A data processing system for processing requests for features at a file collaboration platform implements receiving, at the file collaboration platform, a request from a client device to invoke a requested service on one or more files, wherein the requested service is associated with a feature provided by the file collaboration platform; determining a current operating status of the file collaboration platform; obtaining a feature-specific policy associated with the feature associated with the request; determining whether the requested service is allowed by the file collaboration platform based on the current operating status of the file collaboration platform and the feature-specific policy associated with the feature; allocating capacity to the request at the file collaboration platform for performing the request responsive to determining that the requested service is allowed; and sending a first message to the client device indicating that the client device may invoke the requested service.