Abstract: A method of determining a return option for a customer of a retail enterprise. The method includes receiving a request to return a previously-ordered inventory item. The request includes item attributes including an item description and an item cost of the previously-ordered inventory item. Customer attributes are received, which include a customer profile, historical sales order metrics, and historical return metrics from a customer attribute database. A risk score for the customer is determined. The risk score is based, at least in part, on the customer attributes and one or more rules assessed by a customer risk assessment tool of the retail enterprise. Based on the risk score and the item attributes, at least one return processing option for the customer is automatically determined. The at least one return processing option is presented to the customer for selection.

Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.

Abstract: A charging pad includes a power drive unit and a transmitting unit. The power drive unit includes a first oscillator to generate a first AC voltage signal having a first frequency, and a first amplifier to amplify the first AC voltage signal. Also, the power drive unit includes a second oscillator to generate a second AC voltage signal having a second frequency, and a second amplifier to amplify the second AC voltage signal. Additionally, the power drive unit includes an adder to combine the amplified first AC voltage signal and the amplified second AC voltage signal. Furthermore, the transmitting unit includes a first frequency coil configured to transmit the amplified first AC voltage signal having the first frequency, and a second frequency coil configured to transmit the amplified second AC voltage signal having the second frequency.

Abstract: There are described ROR? modulators of the formula (I), or stereoisomers, tautomers, pharmaceutically acceptable salts, solvates, or prodrugs thereof, wherein all substituents are defined herein. Also provided are pharmaceutical compositions comprising the same. Such compounds and compositions are useful in methods for modulating ROR? activity in a cell and methods for treating a subject suffering from a disease or disorder in which the subject would therapeutically benefit from modulation of ROR? activity, for example, autoimmune and/or inflammatory disorders.

Abstract: Determine first count of first records storing first value in first field, second count of second records storing second value in second field, third count of third records storing third value in third field. Determine count threshold using first, second and third counts, dispersion measure based on dispersion of values stored in second field by first records and other dispersion measure based on other dispersion of values stored in third field by first records. Train machine-learning model to determine dispersion measure threshold based on dispersion and other dispersion measures. If first count is greater than count threshold, and dispersion measure is greater than dispersion measure threshold, create match index based on first and second fields. Receive prospective record storing first value in first field, second value in second field. Use match index to identify record storing first value in first field, second value in second field as matching prospective record.

Abstract: In one embodiment, present disclosure discloses a method for partitioning a temporal graph is described. Embodiments of the method comprises creating a plurality of storage blocks for each type of the different types of graph elements based on predefined label groups, each of the plurality of storage blocks configured to store the telemetry information generated in a corresponding predefined time-range, recreating each of the plurality of storage blocks upon expiry of a configurable rollover time, and sharding each of the plurality of storage blocks into a plurality of shards based on a configurable sharding count.

Abstract: In one embodiment, an apparatus accesses a memory to obtain information regarding sharing history (as pertains, for example, to a particular user and/or device) and uses that sharing history to display at least one recommended sharing action (from amongst a plurality of available candidate sharing actions) as regards to a particular content item (such as, for example, a particular digital photograph, a video, a presentation, and so forth). This sharing history can comprise previously-selected sharing actions as correlated to content item types including shared-content recipients, corresponding temporal data, shared-content size, corresponding location data, and so forth. By one approach the apparatus itself serves to automatically track user-based content-sharing selections over time, which information is stored as the aforementioned sharing history.

Abstract: A wireless power transfer system is disclosed. The wireless power transfer system includes a first converting unit for converting a first DC voltage of an input power to a first AC voltage, a contactless power transfer unit for transmitting the input power having the first AC voltage, and a second converting unit for transmitting the power having a second DC voltage corresponding to the first AC voltage to an electric load. Additionally, the wireless power transfer system includes an active voltage tuning unit for controlling the second DC voltage based on a difference between the second DC voltage and a reference voltage and at least one among a difference between the resonant frequency and the constant operating frequency and a difference between a phase angle of the first AC voltage and a phase angle of an AC current.

Abstract: Associating comments with tags in a managed historian system in accordance with a flexible, platform-independent data structure. A worker role instance automatically associates received comments with a process tag at a particular time in response to receiving the comments. The worker role instance stores the comments in the flexible, platform-independent data structure such that the comment is provided in association with the tag at the particular time in response to a display or search request for the tag.

Abstract: A model is trained to create a probability distribution of counts based on counts of distinct values stored by person profiles in a field. The model is trained to create another probability distribution of counts based on other counts of other distinct values stored by the person profiles in another field. The count of distinct values stored by a person profile in the field is identified. Another count of distinct values stored by the person profile in the other field is identified. A score is determined based on a cumulative distribution function of the count under the probability distribution of counts. Another score is determined based on the cumulative distribution function of the other count under the other probability distribution of counts. If the score and the other score combine in an overall score that satisfies a threshold, a message is output about the person profile being suspected of corruption.

Abstract: A system receives a record which includes a string and separates the string into a number of tokens, including a token and another token. The system identifies a pattern that includes an entity, another entity, and a number of entities that equals the number of tokens, and another pattern that includes the same number of entities as the number of tokens. The system determines a combined probability that combines a probability based on the number of entries in the entity's dictionary which stores the token, and another probability based on a number of character types in the other entity that match characters in the other token. If the combined probability associated with the pattern is greater than another combined probability associated with the other pattern, the system matches the record to a system record based on recognizing the token as the entity and the other token as the other entity.

Abstract: This disclosure relates generally to a method and system for biometric verification. Conventional biometric verification method and system performs one or more computations in non-encrypted domain, thereby leading to security threats. The disclosed method includes performing computations such as enrollment and verification feature vector computation, dimensionality reduction of said feature vectors, and comparison of dimensionally reduced encrypted feature vectors to obtain matching scores indicating the extent of match therebetween between in encrypted domain using fully homomorphic encryption, thereby leading to secure biometric verification.

Abstract: Conventionally, biometric template protection has been achieved to improve matching performance with high levels of security by use of deep convolution neural network models. However, such attempts have prominent security limitations mapping information of images to binary codes is stored in an unprotected form. Given this model and access to the stolen protected templates, the adversary can exploit the False Accept Rate (FAR) of the system. Secondly, once the server system is compromised all the users need to be re-enrolled again. Unlike conventional systems and approaches, present disclosure provides systems and methods that implement encrypted deep neural network(s) for biometric template protection for enrollment and verification wherein the encrypted deep neural network(s) is utilized for mapping feature vectors to a randomly generated binary code and a deep neural network model learnt is encrypted thus achieving security and privacy for data protection.

Abstract: A distributed computing system for artificial intelligence in autonomously appreciating a circumstance context of a smart device. Raw context data is detected by sensors associated with the smart device. The raw context data is pre-processed by the smart device and then provided to a cloud based server for further processing. At the cloud based server, various sets of feature data are obtained from the pre-processed context data. The various sets of feature data are compared with corresponding classification parameters to determine a classification of a continuous event and/or a classification of transient event, if any, which occur in the context. The determined classification of the continuous event and the transient event will be used to autonomously configure the smart device or another related smart device to fit the context.

Abstract: A method used in forming a memory array comprising strings of memory cells comprises forming a stack comprising vertically-alternating first tiers and second tiers comprising memory-block regions having channel-material strings therein. Conductor-material contacts are directly against the channel material of individual of the channel-material strings. First insulator material is formed directly above the conductor-material contacts. The first insulator material comprises at least one of (a) and (b), where (a): silicon, nitrogen, and one or more of carbon, oxygen, boron, and phosphorus, and (b): silicon carbide. Second insulator material is formed directly above the first insulator material and the conductor-material contacts. The second insulator material is devoid of each of the (a) and (b). Third insulator material is formed directly above the second insulator material, the first insulator material, and the conductor-material contacts. The third insulator material comprises at least one of the (a) and (b).

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for hybrid dual write. An apparatus includes a memory device comprising a plurality of single level cell blocks and a plurality of multi level cell blocks. An apparatus includes a hybrid writing component. A hybrid writing component includes a single level writing circuit that writes data to a plurality of single level cell blocks. A hybrid writing component includes a multi level writing circuit that copies data from a plurality of single level cell blocks to a plurality of multi level cell blocks. A hybrid writing component includes a control circuit that controls data to be copied from a single level cell block of a plurality of single level cell blocks to at least two multi level cell blocks of a plurality of multi level cell blocks.

Abstract: Automated recovery of execution roles in a distributed historian system in accordance with actions and rules customized to each execution role. A monitoring service monitors the health status of execution roles and automatically performs a corrective action in response to the health state of an execution role triggering a predetermined rule.

Abstract: This application discloses a computing system implementing a functional safety validation tool to simulate an integrated circuit design with a stimulus vector. The computing system can inject a fault at a first node of the simulated integrated circuit design, which prompts alarm logic to trigger indicating a detection of the injected fault. The computing system, in response to the triggering of the alarm logic, can initiate back-propagation to identify which intermediate nodes of the simulated integrated circuit design, located between the first node and the alarm logic, have fault values that prompt the alarm logic to trigger. The computing system can generate a fault coverage presentation identifying a diagnostic coverage of the alarm logic for the stimulus vector based on when the alarm logic.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for hybrid dual write. An apparatus includes a memory device comprising a plurality of single level cell blocks and a plurality of multi level cell blocks. An apparatus includes a hybrid writing component. A hybrid writing component includes a single level writing circuit that writes data to a plurality of single level cell blocks. A hybrid writing component includes a multi level writing circuit that copies data from a plurality of single level cell blocks to a plurality of multi level cell blocks. A hybrid writing component includes an allocation circuit that allocates a single level cell block of a plurality of single level cell blocks to a first stream in response to a multi level cell block of a plurality of multi level cell block being allocated to the first stream.

Abstract: A connecting member and method of forming the connecting member in an air maintenance tire is provided. The method includes providing a tire having a sidewall formed with an annular groove. The groove receives an annular air tube having a first end with a first fitting and a second end with a second fitting. A recess is formed in the tire sidewall along the annular groove at a location where the first end of the annular air tube is adjacent the second end of the annular air tube. A mold formed with a cavity is provided and the fittings are removably secured in the cavity. The mold is positioned on a surface of the tire sidewall and an elastomer or a polymer is introduced into the mold cavity. The mold is heated to form the connecting member on the tire sidewall.