Abstract: Devices and/or computer-implemented methods to facilitate a programmable and/or reprogrammable quantum circuit are provided. According to an embodiment, a device can comprise a superconducting coupler device having a superconducting fuse device that is used to alter the coupling of a first quantum computing element and a second quantum computing element.

Abstract: Disclosed herein are methods for analzying quantitative expression values of biomarkers of a biomarker panel for determining disease activity in a human subject. Further disclosed herein are kits for measuring quantitative expression values of the markers as well as computer systems and software embodiments of predictive models for determining disease activity in human subjects based on the quantitative expression values of the markers.

Abstract: An excavation bucket with a chain adherent release device, wherein inside the bucket is two side chains positioned proximate the bucket sides, at least one inner chain spaced between the side chains, and at least one cross chain attached to the side chains and positioned between the front and back of the bucket and attached to the at least one inner chain, but not attached to the bottom of the bucket. The side chains, the at least one inner chain and the at least one cross chain form a grid. The side chains and at least one of the inner chain each have both back attachment points proximate the back of the bucket and front attachment points proximate the front of the bucket. The grid has sufficient length to lie untensioned on the bottom of the bucket when it is in the empty and upright position and has direct, uninterrupted and continuous contact with the bottom of the bucket.

Abstract: Disclosed herein is computer technology that provides adaptive mechanisms for learning concepts that are expressed by natural language sentences, and then applies this learning to appropriately classify new natural language sentences with the relevant concept that they express. The computer technology can also discover the uniqueness of terms within a training corpus, and sufficiently unique terms can be flagged for the user for possible updates to an ontology for the system.

Abstract: Disclosed herein is computer technology that applies natural language processing (NLP) techniques to training data to generate information used to train a natural language generation (NLG) system to produce output that stylistically resembles the training data. In this fashion, the NLG system can be readily trained with training data supplied by a user so that the NLG system is adapted to produce output that stylistically resembles such training data. In an example, an NLP system detects a plurality of linguistic features in the training data. These detected linguistic features are then aggregated into a specification data structure that is arranged for training the NLG system to produce natural language output that stylistically resembles the training data. Parameters in the specification data structure can be linked to objects in an ontology used by the NLG system to facilitate the training of the NLG system based on the detected linguistic features.

Abstract: A reversible apparatus for a conventional pocket door has a sliding-handle mechanism and a handle cavity sized to facilitate human operation. Moving parts are contained in a cartridge, and remain assembled, independent of the configuration of the apparatus for doors that close from left to right, or doors that close from right to left.

Abstract: The present invention is a dump truck with a bed with a chain adherent release device, wherein the bed has a bottom and two side walls, an inside configured to hold materials, a front wall and a back edge. The bed has a lifted position and a flat, unlifted position. Attached inside the bed is a chain adherent release device which has two bed side chains positioned proximate and parallel to the side walls, at least one bed inner chain spaced between the side chains, and at least one bed cross chain approximately perpendicular to the bed side chains, attached to the side chains and positioned between the front and back of the bed, but not attached to the bottom of the bed. The chains have a sufficient length to have direct contact with the bottom of the bed, and to lie in the bottom of the bed when the bed is in in the flat and unlifted position.

Abstract: Disclosed herein is computer technology that applies natural language processing (NLP) techniques to training data to generate information used to train a natural language generation (NLG) system to produce output that stylistically resembles the training data. In this fashion, the NLG system can be readily trained with training data supplied by a user so that the NLG system is adapted to produce output that stylistically resembles such training data. In an example, an NLP system detects a plurality of linguistic features in the training data. These detected linguistic features are then aggregated into a specification data structure that is arranged for training the NLG system to produce natural language output that stylistically resembles the training data. Parameters in the specification data structure can be linked to objects in an ontology used by the NLG system to facilitate the training of the NLG system based on the detected linguistic features.

Abstract: Methods and systems described in this disclosure receive a call from a caller, generate a first session through a first channel associated with the caller when the call is received and then send a request for authentication credentials to a device associated with the caller. In some embodiments, sending the request for authentication credentials generates a second session through a second channel associated with the caller. The caller can be authenticated to the first session using communication received during the second session through the second channel.

Abstract: Light weight fiber-reinforced polymeric structural building panels and methods; sized, configured for fabrication of non-portable wall structures permanently fixed to natural base. The panel main body, and studs, can be fabricated separately, then assembled to each other to complete panel fabrication. Methods for making the main body are hand lay-up, or pultrusion. Studs are typically pultruded, and subsequently prepared having consistent thickness, flat surface, across the width of the stud end wall which is to be mounted to the main body. Foam blocks are between inner and outer layers of the panel. Foam blocks can be prepared in block clusters before assembly to the main body. In the main body, a fibrous layer is between each pair of next adjacent foam blocks. Intercostals extend “y” and “z” dimensions transverse to the length of the main body. Studs can be mounted to the main body using adhesive, mechanical fasteners, or both.

Abstract: Methods and systems described in this disclosure receive a call from a device associated with a caller and request an indication of a context of the call. The system can send a request for authentication credentials in a push notification to the device. The push notification can be linked to an authentication tab or page in an application. After authentication of the caller, the system can direct the application to cause a tab or page associated with the subject matter of the call to be displayed on the qualified device.

Abstract: In a general aspect, a quantum computing method is described. In some aspects, a control system in a quantum computing system assigns subsets of qubit devices in a quantum processor to respective cores. The control system identifies boundary qubit devices residing between the cores in the quantum processor and generates control sequences for each respective core. A signal delivery system in communication with the control system and the quantum processor receives control signals to execute the control sequences, and the control signals are applied to the respective cores in the quantum processor.

Abstract: Techniques are described for generating a seal that is applicable to an object, and scanning the seal to access encoded data to be used for verifying one or more characteristics of the object. The seal may be applied to a tangible document, such as a document printed on paper. The seal may encode data that is particularly associated with the document. For example, the seal may encode a hash of at least a portion of the information (e.g., text) included in the document. In some instances, the seal may encode a digital version and/or metadata of at least a portion of the information in the document. A scan of the seal may retrieve information useable to verify the authorship, provenance, originality, and/or unaltered contents of the documents. In some instances, the seal may encode information that enables the presentation of hidden information and/or metadata associated with the document.

Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.

Abstract: In a general aspect, a quantum processor has a modular architecture. In some aspects, a modular quantum processor includes first and second quantum processor chips and a cap structure. The first quantum processor chip is supported on a substrate layer and includes a first plurality of qubit devices. The second quantum processor chip is supported on the substrate layer and includes a second plurality of qubit devices. The cap structure is supported on the first and second quantum processor chips and includes a coupler device that provides coupling between at least one of the first plurality of qubit devices with at least one of the second plurality of qubit devices. In some instances, the coupler device is an active coupler device that is configured to selectively couple at least one of the first plurality of qubit devices with at least one of the second plurality of qubit devices.

Abstract: Techniques are described for routing service requests in a service environment. Received requests received may be analyzed to determine characteristics of each request, including a category of the request, a difficulty of the request, and the individual who submitted the request. A list of pending requests may be presented in a user interface (UI) according to a hierarchical set of filters. A service representative (SR) may select a pending request to handle and, in response, a service session may be initiated between the SR and the individual who submitted the request. Each request may be assigned a point value according to a set of configurable rules, e.g., based on the difficulty of the request, the amount of time it has been pending in the queue of requests, and/or other characteristics. The point value of the request may be added to a score of the SR who handles the request.

Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.

Abstract: In a general aspect, a computing system is configured to execute a quantum approximate optimization algorithm. In some aspects, a control system identifies a pair of qubit devices in a quantum processor. The quantum processor includes a connection that provides coupling between the pair of qubit devices. ZZ coupling between the pair of qubit devices is activated to execute a cost function defined in the quantum approximate optimization algorithm. The cost function is associated with a maximum cut problem, and the ZZ coupling is activated by allowing the pair of qubits to evolve under a natural Hamiltonian for a time period ?. One or more of the pair of qubit devices is measured to obtain an output from an execution of the quantum approximate optimization algorithm.

Abstract: Disclosed herein is computer technology that applies natural language processing (NLP) techniques to training data to generate information used to train a natural language generation (NLG) system to produce output that stylistically resembles the training data. In this fashion, the NLG system can be readily trained with training data supplied by a user so that the NLG system is adapted to produce output that stylistically resembles such training data. In an example, an NLP system detects a plurality of linguistic features in the training data. These detected linguistic features are then aggregated into a specification data structure that is arranged for training the NLG system to produce natural language output that stylistically resembles the training data. Parameters in the specification data structure can be linked to objects in an ontology used by the NLG system to facilitate the training of the NLG system based on the detected linguistic features.