Abstract: Changing environmental characteristics of an enclosure are controlled to promote health, wellness, and/or performance for occupant(s) of the enclosure using sensor data, three dimensional modeling, physical properties of the enclosure, and machine learning (e.g., Artificial Intelligence).

Abstract: A process integrity evaluation system ensures integrity of unstructured processes. The process integrity evaluation system handles structured, semi-structured, and unstructured data at massive and large scale. The system provides scalability, secure storage, indexing, knowledge storage, and visualizations of processes by information retrieval, natural language processing, cloud computing, large scale machine learning, knowledge discovery, and other artificial intelligence techniques. Self-provided data, systematically gathered data, and potentially related data from additional sources are incorporated in the process integrity evaluation system which provides the core capabilities of data integrity checking, entity extraction, entity resolution, entity categorization, entity relationship extraction, processes extraction and reconstruction based on knowledge storage, such as knowledge graphs, inference functions, and evaluation computations.

Abstract: A device receives real-time data and historical data associated with a product or a service, wherein the real-time data includes data indicating real-time interactions between customers of the product or the service and customer service personnel. The device processes the real-time data and the historical data to generate processed data, and utilizes a first artificial intelligence model with the processed data to determine future events associated with the product or the service, and preventative solutions for the future events. The device extracts one or more features from the processed data to provide extracted features, and utilizes a second artificial intelligence model with the extracted features to determine priorities associated with the preventative solutions. The device performs one or more particular preventative solutions based on the priorities associated with the preventative solutions.

Abstract: Insulating articles, assemblies and methods are provided. The insulating articles include a core layer (101,201) containing a plurality of non-meltable fibers; and at least one reinforcement layer (102, 202) disposed on the core layer (101,201). The insulating article has tensile strength of at least 0.75 newtons/millimeter according to ASTM D822 and a tear strength of at least 2 newtons under ASTM D1938, wherein the insulating article has a surface electrical resistivity of at least 15 M-ohm at a relative humidity of 85% and temperature of 30° C., wherein the insulating article has an air flow resistance of up to 2000 MKS Rayls according to ASTM C522, and wherein the insulating article displays a UL94-V0 flammability rating.

Abstract: A system for determining a response to a query includes a receiver to receive a query along with a plurality of potential responses to the query. A detector detects a topic and a type of the query based on information extracted from text and structure. Further, a selector selects at least one of a plurality of techniques for processing the query and the plurality of potential responses, based on the topic and the type of the query. An obtainer obtains an answer by execution of each of the selected techniques for processing the query and the plurality of potential responses along with an associated confidence score. A determinator determines one of obtained answers as a correct response to the query, based on a comparison between confidence scores associated with the answers.

Abstract: A method for controlling a histotripsy using a confocal fundamental and harmonic superposition combined with hundred-microsecond ultrasound pulses, including: 1) positioning a target tissue by a monitoring and guiding system and adjusting a position of the target tissue to a focal point of a transducer; 2) first stage: controlling the confocal fundamental and harmonic superposition combined with hundred-microsecond ultrasound pulses to form a shock wave in a focal zone; wherein a negative acoustic pressure exceeds a cavitation threshold; an inertial cavitation occurs to generate boiling bubbles; the boiling bubbles collapse and achieve partial homogenization of the target tissue; 3) second stage: controlling the confocal fundamental and harmonic superposition combined with hundred-microsecond pulsed-ultrasound sequences to simultaneously irradiate a target zone and further mechanically disintegrate and homogenize the target tissue.

Abstract: Examples of artificial intelligence based risk and knowledge management analysis are described. In an example implementation, a data analyzer may obtain entity data pertaining to an entity associated with a risk management instrument. The entity data may include data obtained from an IoT device and/or a risk control and knowledge management database. The entity data may be processed by an intelligent risk management agent to perform a variety of risk control and knowledge management tasks, such as claim processing, notification generation, formulization of risk management instruments, and assisting agents, users, and organization. The claim processing may include, for instance, identification of a similar case from database. The notification generation may include analysis with respect to reference parameters. The formulization of risk management instrument may include analysis with respect to the entity data from multiple domains and/or various external factors.

Abstract: A spherical-confocal-split array with dual frequency of fundamental and harmonic superimposition includes: array elements which are spherically confocal, whose quantity is an even number, wherein a half of the array elements operate with a lower frequency, and the other half of the array elements operate with a higher frequency; both the lower frequency and the higher frequency are MHz high-frequencies; each of the array elements corresponds to a frequency drive; array element beams don't superimpose outside the focal region; each of the array elements is connected to a channel amplifier (3) through corresponding impedance matching (2); and a multi-channel waveform controller (4) is connected to the channel amplifier (3) for controlling amplitudes and phases of all channels. The dual-frequency spherical sectorial split array is able to generate split multi-foci of the focal plane with the dual frequencies; and control strong interference of transient cavitation clouds at the adjacent foci.

Abstract: A system for determining a response to a query includes a receiver to receive a query along with a plurality of potential responses to the query. A detector detects a topic and a type of the query based on information extracted from text and structure. Further, a selector selects at least one of a plurality of techniques for processing the query and the plurality of potential responses, based on the topic and the type of the query. An obtainer obtains an answer by execution of each of the selected techniques for processing the query and the plurality of potential responses along with an associated confidence score. A determinator determines one of obtained answers as a correct response to the query, based on a comparison between confidence scores associated with the answers.

Abstract: A device receives real-time data and historical data associated with a product or a service, wherein the real-time data includes data indicating real-time interactions between customers of the product or the service and customer service personnel. The device processes the real-time data and the historical data to generate processed data, and utilizes a first artificial intelligence model with the processed data to determine future events associated with the product or the service, and preventative solutions for the future events. The device extracts one or more features from the processed data to provide extracted features, and utilizes a second artificial intelligence model with the extracted features to determine priorities associated with the preventative solutions. The device performs one or more particular preventative solutions based on the priorities associated with the preventative solutions.

Abstract: A method for controlling a histotripsy using a confocal fundamental and harmonic superposition combined with hundred-microsecond ultrasound pulses, including: 1) positioning a target tissue by a monitoring and guiding system and adjusting a position of the target tissue to a focal point of a transducer; 2) first stage: controlling the confocal fundamental and harmonic superposition combined with hundred-microsecond ultrasound pulses to form a shock wave in a focal zone; wherein a negative acoustic pressure exceeds a cavitation threshold; an inertial cavitation occurs to generate boiling bubbles; the boiling bubbles collapse and achieve partial homogenization of the target tissue; 3) second stage: controlling the confocal fundamental and harmonic superposition combined with hundred-microsecond pulsed-ultrasound sequences to simultaneously irradiate a target zone and further mechanically disintegrate and homogenize the target tissue.

Abstract: Examples of artificial intelligence based risk and knowledge management analysis are described. In an example implementation, a data analyzer may obtain entity data pertaining to an entity associated with a risk management instrument. The entity data may include data obtained from an IoT device and/or a risk control and knowledge management database. The entity data may be processed by an intelligent risk management agent to perform a variety of risk control and knowledge management tasks, such as claim processing, notification generation, formulization of risk management instruments, and assisting agents, users, and organization. The claim processing may include, for instance, identification of a similar case from database. The notification generation may include analysis with respect to reference parameters. The formulization of risk management instrument may include analysis with respect to the entity data from multiple domains and/or various external factors.

Abstract: A process integrity evaluation system ensures integrity of unstructured processes. The process integrity evaluation system handles structured, semi-structured, and unstructured data at massive and large scale. The system provides scalability, secure storage, indexing, knowledge storage, and visualizations of processes by information retrieval, natural language processing, cloud computing, large scale machine learning, knowledge discovery, and other artificial intelligence techniques. Self-provided data, systematically gathered data, and potentially related data from additional sources are incorporated in the process integrity evaluation system which provides the core capabilities of data integrity checking, entity extraction, entity resolution, entity categorization, entity relationship extraction, processes extraction and reconstruction based on knowledge storage, such as knowledge graphs, inference functions, and evaluation computations.

Abstract: A claims preprocessor processes claim data to identify claims that are to be adjudicated. Each claim includes at least one claim exception. The claims preprocessor further prioritizes the claim exception of each identified claim based on the claim data. A robotic process automator then orchestrates adjudication of the identified claims based on claim data. Further, a rules engine adjudicates the identified claims based on pre-defined rules. Subsequently, a fall out handler determines if any of the identified claims are incorrectly adjudicated and identify an issue associated with incorrect claims adjudication on determining that any of the identified claims are incorrectly adjudicated. A self learner then provides feedback to rules engine based on a decision tree and information received from fall out handler, the feedback being usable to resolve the issue. The information received from fall out handler is indicative of issue associated with incorrect claims adjudication.

Abstract: A spherical-confocal-split array with dual frequency of fundamental and harmonic superimposition includes: array elements which are spherically confocal, whose quantity is an even number, wherein a half of the array elements operate with a lower frequency, and the other half of the array elements operate with a higher frequency; both the lower frequency and the higher frequency are MHz high-frequencies; each of the array elements corresponds to a frequency drive; array element beams don't superimpose outside the focal region; each of the array elements is connected to a channel amplifier (3) through corresponding impedance matching (2); and a multi-channel waveform controller (4) is connected to the channel amplifier (3) for controlling amplitudes and phases of all channels. The dual-frequency spherical sectorial split array is able to generate split multi-foci of the focal plane with the dual frequencies; and control strong interference of transient cavitation clouds at the adjacent foci.