Abstract: A self-propelled, one-wheeled vehicle may include a board having two deck portions each having a concave front footpad configured to receive a foot of a rider, and a wheel assembly disposed between the deck portions. The concave front footpad has a rider detection sensor in the form of a membrane switch conforming to the shape of the footpad (e.g., facilitated by one or more slots formed in the membrane switch). A motor assembly drives the vehicle in response to board orientation and rider detection information.

Abstract: A system includes a sensor housing and a sensor processor external to the sensor housing. The sensor housing includes an infrared detection module and a thermoelectric module proximate to the infrared detection module. The infrared detection module is configured to detect infrared radiation of a scene and generate a measurement associated with the infrared radiation. The thermoelectric module is configured to provide thermal control to the infrared detection module based on a modulated power signal. An accuracy of the measurement is based on the thermal control provided to the infrared detection module. The sensor processor is configured to transmit a power signal to the infrared detection module and transmit a direct current power signal to the thermoelectric module. The direct current power signal is based on the modulated power signal.

Abstract: A method and system provide for automated counting of prescription product and enables virtual verification of the dispensed prescription product. The method and system include counting a quantity of pills of a prescription product on a first portion of a tray, retaining the quantity of pills after the counting in a second portion of the tray, receiving at least the second portion of the tray into an imaging device, and capturing, with a first camera, an image of the quantity of pills in the second portion of the tray.

Abstract: A method and system provide for automated counting of prescription product and enables virtual verification of the dispensed prescription product. The method and system include counting a quantity of pills of a prescription product on a first portion of a tray, retaining the quantity of pills after the counting in a second portion of the tray, receiving at least the second portion of the tray into an imaging device, and capturing, with a first camera, an image of the quantity of pills in the second portion of the tray.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A method and system provide for automated detection of prescription product conditions and enables virtual verification of the dispensed prescription product. The method and system include receiving an image of a prescription product to be dispensed according to a prescription to a patient, processing the image with an artificial intelligence model to generate a condition signal indicating a prescription product condition, sending the condition signal to an image analysis engine; and responsive to receiving the condition signal, performing an action based on the prescription product condition.

Abstract: A method and system provide for automated counting of prescription product and enables virtual verification of the dispensed prescription product. The method and system include counting a quantity of pills of a prescription product on a first portion of a tray, retaining the quantity of pills after the counting in a second portion of the tray, receiving at least the second portion of the tray into an imaging device, and capturing, with a first camera, an image of the quantity of pills in the second portion of the tray.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A method and system provide for automated counting of prescription product and enables virtual verification of the dispensed prescription product. The method and system include counting a quantity of pills of a prescription product on a first portion of a tray, retaining the quantity of pills after the counting in a second portion of the tray, receiving at least the second portion of the tray into an imaging device, and capturing, with a first camera, an image of the quantity of pills in the second portion of the tray.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: Technologies for natural language processing include a computing device that loads natural language text data that includes multiple words, such as a naturally elicited response or comment data. The computing device applies a constituency parser to the natural language text data to generate a constituency parse tree. The constituency parse tree may include multiple nodes that each correspond to a hierarchical constituent of the natural language text. The computing device applies a constituency rule to identify clauses in the natural language text data. The constituency rule may identify a left-most daughter of each subordinate clause node of the constituency parse tree. Each subordinate clause is distinct, preventing dependencies from crossing clause boundaries. The computing device applies a dependency parser to each clause to generate a corresponding dependency parse.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts. In some embodiments, the data set may include voice data from a voice based assistant or a voice based survey.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A system and method for processing and actionizing structured and unstructured patient experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: Technologies for natural language processing include a computing device that loads natural language text data that includes multiple words, such as a naturally elicited response or comment data. The computing device applies a constituency parser to the natural language text data to generate a constituency parse tree. The constituency parse tree may include multiple nodes that each correspond to a hierarchical constituent of the natural language text. The computing device applies a constituency rule to identify clauses in the natural language text data. The constituency rule may identify a left-most daughter of each subordinate clause node of the constituency parse tree. Each subordinate clause is distinct, preventing dependencies from crossing clause boundaries. The computing device applies a dependency parser to each clause to generate a corresponding dependency parse.

Abstract: A system and method for processing and actionizing structured and unstructured patient experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: The invention provides a multiple decked cargo container, suitable for use inter alia in aircraft catering operations. The container comprises a floating deck and vertically moveable roof, to allow for an increased load carrying capacity via two vertically stacked storage areas, whilst meeting height restrictions and providing sufficient headroom for ground crew to access the interior of the container.

Abstract: An interactive online learning system and method.