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: Applied Artificial Intelligence Technology for Adaptive Natural Language Understanding 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.

Abstract: Provided herein are methods, systems, and devices for detecting and/or identifying one or more specific microorganisms in a culture sample. Indicator particles, such as surface enhanced Raman spectroscopy (SERS)-active nanoparticles, each having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest, can form a complex with specific microorganisms in the culture sample. Further, agitating magnetic capture particles also having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest can be used to capture the microorganism-indicator particle complex and concentrate the complex in a localized area of an assay vessel for subsequent detection and identification. The complex can be dispersed, pelleted, and redispersed so that the culture sample can be retested a number of times during incubation so as to allow for real-time monitoring of the culture sample.

Abstract: LED board interconnect schemes for illuminable assemblies are provided. Multiple LED boards may form a partial perimeter along an illuminable assembly. The multiple LED boards and interconnects must fit within a limited width and height of the illuminable assembly. In some implementations, an interconnect board and spring connectors are used to provide a low-profile electrical interconnection while maintaining co-planarity of the LEDs across the LED boards.

Abstract: An engine friction monitor uses commanded torque and measured torque to provide a prognostic feature to identify failure modes of an engine that causes the engine from delivering the commanded torque.

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: 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: 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: Applied Artificial Intelligence Technology for Using Natural Language Processing and Concept Expression Templates To Train a Natural Language Generation System 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.

Abstract: In a general aspect, a superconducting quantum circuit system is modeled. In some aspects, a graph representing a quantum circuit system is generated. The graph includes vertices and edges; the edges represent circuit elements of the quantum circuit system, and the vertices represent physical connections between the circuit elements. Inverse inductances, conductances, capacitances, and junction inverse inductances are assigned to respective edges of the graph based on a lumped-element approximation of the quantum circuit system. A coordinate system is determined based on the graph, and a matrix representation of the system is determined based on the coordinate system. A Hamiltonian for the quantum circuit system is determined using the matrix representation, and the quantum circuit system is simulated based on the Hamiltonian.

Abstract: A separating system (1) comprises a housing (60) sized to receive a stack of articles having at least one first article (12) stacked on top of a second article (10). The system (1) also includes a lifter (20) movable into a contact position adjacent a surface (13) on the at least one first article (12). The lifter (20) is adapted to apply a lifting force to the surface (13) to lift at least a portion of the first article (12) above the contact position. An extractor (40) moves the second article (10) away from the stack of articles after the at least one first article (12) has been lifted above the contact position by the lifter (20). The housing (60) prevents the at least one first article (12) from moving with the second article (10) when the second article (10) is moved by the extractor (40) and guides the stack of articles downward after the second article (10) is moved away.

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: Method and Apparatus for Triggering the Automatic Generation of Narratives Artificial intelligence methods and systems for triggering the generation of narratives are disclosed. Specific embodiments relate to real-time evaluation and automated generation of narrative stories based on received data. For example, data can be tested against data representative of a plurality of story angles to determine whether a narrative story incorporating one or more such story angles is to be automatically generated.

Abstract: In a general aspect, a superconducting quantum circuit system is modeled. In some aspects, a graph representing a quantum circuit system is generated. The graph includes vertices and edges; the edges represent circuit elements of the quantum circuit system, and the vertices represent physical connections between the circuit elements. Inverse inductances, conductances, capacitances, and junction inverse inductances are assigned to respective edges of the graph based on a lumped-element approximation of the quantum circuit system. A coordinate system is determined based on the graph, and a matrix representation of the system is determined based on the coordinate system. A Hamiltonian for the quantum circuit system is determined using the matrix representation, and the quantum circuit system is simulated based on the Hamiltonian.

Abstract: Artificial intelligence methods and systems for triggering the generation of narratives are disclosed. Specific embodiments relate to real-time evaluation and automated generation of narrative stories based on received data. For example, data can be tested against data representative of a plurality of story angles to determine whether a narrative story incorporating one or more such story angles is to be automatically generated.

Abstract: A computer system authenticates a user of a mobile application. In response to authenticating the user, the computer identifies a user profile for the user. The user profile includes a current application state for the mobile application. The computer then selects an application version based on applying a set of rules to the current application state. The computer then sends a response to the mobile device indicating the selected application version, enabling performing an operation for the organization based on the selected version for the application selectively enabling access to services provided by the organization for people.

Abstract: In a general aspect, a superconducting quantum circuit system is modeled. In some aspects, a graph representing a quantum circuit system is generated. The graph includes vertices and edges; the edges represent circuit elements of the quantum circuit system, and the vertices represent physical connections between the circuit elements. Inverse inductances, conductances, capacitances, and junction inverse inductances are assigned to respective edges of the graph based on a lumped-element approximation of the quantum circuit system. A coordinate system is determined based on the graph, and a matrix representation of the system is determined based on the coordinate system. A Hamiltonian for the quantum circuit system is determined using the matrix representation, and the quantum circuit system is simulated based on the Hamiltonian.

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: A computer system authenticates a user of a mobile application. In response to authenticating the user, the computer identifies a user profile for the user. The user profile includes a current application state for the mobile application. The computer then selects an application version based on applying a set of rules to the current application state. The computer then sends a response to the mobile device indicating the selected application version, enabling performing an operation for the organization based on the selected version for the application selectively enabling access to services provided by the organization for people.