Abstract: A webpage serving system is provided and generally includes a server and a computing device. The server may receive a webpage data request for a webpage from the computing device. In response, the server may transmit data identifying a webpage that allows a plurality of items to be added to an online shopping cart in one transaction. The data may include a document, such as an HTML document, based on the type of webpage requested. The document may include instructions to download a particular bundle from a server. The server may also receive a request from the computing device to add at least one item of the plurality of items to the online shopping cart. In response, the server may add the requested item to the online shopping cart. The server may also transmit data confirming that the requested item was added to the online shopping cart.

Abstract: An example provides a method for selecting a cell by a user equipment (UE) in a wireless communication system, and the method may include receiving first configuration information for early measurement to be performed while the UE is in an idle state or an inactive state. The method may include identifying, based on the first configuration information, a plurality of candidate cells for the early measurement among neighboring cells of the UE. The method may include receiving, from each candidate cell of the plurality of candidate cells, second configuration information including at least one of bandwidth support information, high power user equipment (HPUE) support information or relaxed measurement support information. And the method may include selecting a cell by prioritizing the plurality of candidate cells, based on a signal strength of said each candidate cell and the second configuration information.

Abstract: Embodiments herein relate to a pulse generator which provides first and second clock pulses to one or more pulsed latches, where the pulse generator replicates a delay of the pulsed latches in providing the first and second clock pulses. The pulse generator can include a replica of latch components in the pulsed latches such as a tri-state inverter, a transmission gate and inverters, where an output of the tri-state inverter is coupled to the transmission gate and to an input of the inverter, and an output of the inverter is coupled to an input of the tri-state inverter. The tri-state inverter can be a modified tri-state inverter with an output forced to “1” when a clock signal is “0.” In one approach, the latch components of the pulse generator are to write a logic 1 when a clock signal goes high.

Abstract: The present disclosure is directed to systems and methods of providing content. A server can generate a request for a push content item for an account identifier linked with a computing device. The server can establish a push auction for the account identifier with multiple candidate push content items. The server can determine an auction score for each candidate push content item and select a push content item therefrom based on the auction score. The server can determine a parameter for the account identifier and control delivery of the selected push content item based on a delivery control policy. The server can compare a value of the parameter with a threshold value to authorize the push content item. The server can provide the selected and authorized push content item for presentation in a push content slot via the computing device linked to the account identifier.

Abstract: An audio processing system includes: a receiver configured to receive the original audio data; a processor configured to execute the instructions stored in the memory to cause the audio processing system to: separate a background noise audio data, a first speaker audio data, and a second speaker audio data; recognize first speaker speech, convert the first speaker speech to first speaker text, translate the first speaker text to a second language text, and convert the second language text to a second speech; recognize second speaker speech, convert the second speaker speech to second speaker text, translate the second speaker text to the second language text, and convert the second language text of the second speaker to a second speech for the second speaker; and generate encoded audio data; and a transmitter configured to transmit the encoded audio data to a content user device.

Abstract: Coordinating processing of audio queries is provided. A system receives a query. The system provides the query to a first digital assistant component and a second digital assistant component for processing. The system receives a first response to the query from the first digital assistant component, and a second response to the query from the second digital assistant component. The first digital assistant component can be authorized to access a database the second digital assistant component is prohibited from accessing. The system determines, based on a ranking decision function, to select the second response to the query from the second digital assistant component. The system provides, responsive to the selection, the second response from the second digital assistant to a computing device.

Abstract: Some embodiments include an apparatus having a flip-flop circuit, which can include a first tristate inverter, a second tristate inverter including an input node coupled to an input node of the first tristate inverter; a first additional inverter including, and a second additional inverter including an output node coupled to an output node of the first additional inverter; a first memory including a first memory node coupled to an output node of the second tristate inverter, and a first additional memory node coupled to an input node of the first additional inverter; and a second memory including a second memory node coupled to an output node of the first tristate inverter, and a second additional memory node coupled to an input node of the second additional inverter.

Abstract: A method and apparatus for verifying object classification includes comparing detected object-components with trained component-based descriptors and similarity measures to generate object classification verification data. The object classification verification data represents object classification confidence or misclassification errors to weight uncertainty for perception-based decision making. A sequence of similarity measures associated with a current frame and prior frames within a reference observation time constraint are compared to a reference temporal similarity measure boundary to generate the object classification verification data.

Abstract: Techniques are described for determining a likelihood that a customer communication is fraudulent using one or more machine learning models. For example, a computing system includes a memory and one or more processors in communication with the memory. The one or more processors are configured to: receive a set of emotion factor values for communication data of a current communication associated with a customer, wherein each emotion factor value indicates a measure of a particular emotion factor in the current communication; classify, using an emotion variance model running on the one or more processors, the current communication into an emotional fraud category based on the set of emotion factor values for the current communication associated with the customer; and determine a risk score for the current communication indicative of a probability that the current communication is fraudulent based on at least the emotional fraud category for the current communication.

Abstract: Dynamic partitioning of a search space of queries is implemented for flexible, heuristic database querying. Search space partitioning refers to dividing the search space for a submitted query into smaller parts by augmenting the queries to append thereto an additional predicate comprising a dynamic partition key and a value(s) selected based on heuristics (e.g., recency and/or relevancy of the value(s)). A plurality of candidate augmentations of the query and corresponding query plans are generated and evaluated based on additional heuristics to determine which can be executed to yield the best results in terms of result quality and latency. This query plan is selected and executed for retrieval of results that satisfy the query, with pagination utilized for presentation of the results. The procedure of generating candidate query plans, selecting one of the candidates for execution, and paginating results is repeated until a search termination criterion is satisfied.

Abstract: Coordinating processing of audio queries is provided. A system receives a query. The system provides the query to a first digital assistant component and a second digital assistant component for processing. The system receives a first response to the query from the first digital assistant component, and a second response to the query from the second digital assistant component. The first digital assistant component can be authorized to access a database the second digital assistant component is prohibited from accessing. The system determines, based on a ranking decision function, to select the second response to the query from the second digital assistant component. The system provides, responsive to the selection, the second response from the second digital assistant to a computing device.

Abstract: A computing device may receive a set of user documents. Data may be extracted from the documents to generate a first graph data structure with one or more initial graphs containing key-value pairs. A model may be trained on the first graph data structure to classify the pairs. Until a set of evaluation metrics for the model exceeds a set of deployment thresholds: generating, a set of evaluation metrics may be generated for the model. The set of evaluation metrics may be compared to the set of deployment thresholds. In response to a determination that the set of evaluation metrics are below the set of deployment thresholds: one or more new graphs may be generated from the one or more initial graphs in the first graph data structure to produce a second graph data structure. The first and second graph can be used to train the model.

Abstract: A method and system for generating a graph neural network comprising association of one or more organs with a disease. The method enables target identification of organs to expediate the drug purposing or discovery process. The method and system is an implementation of digital phama to accelerate target identification for drug design. The method comprises identifying one or more organs associated with a disease from one or more categories, wherein the one or more categories comprises of an organ ontology, one or more information indicative of the disease, plurality of abstract of publications. Weights are assigned to each of the one or more categories and the identified one or more organs, wherein the weights are assigned to the identified one or more organs based on one or more of—frequency of the keywords appearing the one or more categories, and one or more location of the keywords appearing the plurality of abstracts of publications.

Abstract: A system and method for automatically transitioning between carrier and IP messaging that can include receiving client application registration updates; receiving a messaging request directed to at least one destination endpoint; retrieving client status of the destination endpoint from the client application registration database; evaluating the client status for use of a client application destination; in response to the destination endpoint having an inactive client status, transmitting content of the messaging request to the destination endpoint; and in response to the destination endpoint having an active client status, transmitting content of the messaging request to a client application endpoint mapped to the destination point.

Abstract: Coordinating processing of audio queries is provided. A system receives a query. The system provides the query to a first digital assistant component and a second digital assistant component for processing. The system receives a first response to the query from the first digital assistant component, and a second response to the query from the second digital assistant component. The first digital assistant component can be authorized to access a database the second digital assistant component is prohibited from accessing. The system determines, based on a ranking decision function, to select the second response to the query from the second digital assistant component. The system provides, responsive to the selection, the second response from the second digital assistant to a computing device.

Abstract: Techniques are described for performing complaint prioritization using one or more machine learning models for customer communications. For example, a computing system includes a memory and one or more processors in communication with the memory. The one or more processors are configured to receive communication data indicative of a service inquiry from a user device, generate a set of emotion factor values that indicate a measure of particular emotions in the service inquiry, determine, using a machine learning model and based on the set of emotion factor values, an emotional priority score for the service inquiry, and determine a response priority order for the service inquiry based on at least the emotional priority score.

Abstract: Techniques are described for determining a likelihood that a customer communication is fraudulent using one or more machine learning models. For example, a computing system includes a memory and one or more processors in communication with the memory. The one or more processors are configured to: receive a set of emotion factor values for communication data of a current communication associated with a customer, wherein each emotion factor value indicates a measure of a particular emotion factor in the current communication; classify, using an emotion variance model running on the one or more processors, the current communication into an emotional fraud category based on the set of emotion factor values for the current communication associated with the customer; and determine a risk score for the current communication indicative of a probability that the current communication is fraudulent based on at least the emotional fraud category for the current communication.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which provide summaries of topics determined within a corpus of documents. These summaries may be used by customer service associates, analysts, or other users to quickly determine both topics discussed and contexts of those topics over a large corpus of text. For example, a corpus of documents may be related to customer complaints and the topics may be summarized to produce summaries such as “credit report update due to stolen identity.” These summarizations may be used to efficiently spot trends and issues.

Abstract: Dynamic partitioning of a search space of queries is implemented for flexible, heuristic database querying. Search space partitioning refers to dividing the search space for a submitted query into smaller parts by augmenting the queries to append thereto an additional predicate comprising a dynamic partition key and a value(s) selected based on heuristics (e.g., recency and/or relevancy of the value(s)). A plurality of candidate augmentations of the query and corresponding query plans are generated and evaluated based on additional heuristics to determine which can be executed to yield the best results in terms of result quality and latency. This query plan is selected and executed for retrieval of results that satisfy the query, with pagination utilized for presentation of the results. The procedure of generating candidate query plans, selecting one of the candidates for execution, and paginating results is repeated until a search termination criterion is satisfied.

Abstract: Described is a system for action recognition error detection and correction using probabilistic signal temporal logic. The system is initiated by training an action recognition system to generate true positive (TP)/false positive (FP) axioms. Thereafter, the system ca be used to classify one or more actions in a video sequence as true action classifications by using the TP/FP axioms to remove false action classifications. With the remaining true classifications, a device can be controlled given the situation and relevant true classification.