Abstract: A method comprises reading data of one or more files and identifying one or more data types corresponding to the one or more files. In the method, at least one destination database for the data is recommended based at least in part on the one or more data types. A data model to use in connection with writing the data to the at least one destination database is generated. The generation of the data model is based at least in part on the one or more data types corresponding to the one or more files. At least the generation of the data model is performed using one or more machine learning algorithms.

Abstract: A method comprises reading data from a source database, identifying one or more data types corresponding to the source database, identifying a destination database for the data, and identifying one or more data types corresponding to the destination database. In the method, a destination database model to use in connection with writing the data in the destination database is generated. The generation of the destination database model is based at least in part on the one or more data types corresponding to the destination database, and is performed using one or more machine learning algorithms.

Abstract: Methods, apparatus, and processor-readable storage media for augmenting identifying metadata related to group communication session participants using artificial intelligence techniques are provided herein.

Abstract: Techniques are disclosed for a multi-layer micro model analytics framework for analyzing or otherwise processing data. For example, a method comprises building two or more micro models respectively for two or more stages of a given process, wherein each micro model of the two or more micro models comprises a user interaction layer and a predictive learning layer that coordinate to train the micro model based on input to the user interaction layer and data accessible by the predictive learning layer for the corresponding stage of the two or more stages of the given process. The method then assembles the two or more micro models to perform analysis for the given process. In one non-limiting example, the given process is a new product introduction process and each micro model is built and trained to perform analytics for a specific lifecycle stage of the process.

Abstract: A modular apparatus mounted in a vehicle that includes an image-capture device that further includes a printed circuit board (PCB) having a perforation to accommodate an image-sensor and a plurality of layers of strobe-lights to surround the image-sensor. The modular apparatus includes a control device to control the image-capture device and determine a plurality of time instants at which the image-sensor and the plurality of layers of strobe-lights are activated. Furthermore, the control device captures a sequence of images of a field-of-view (FOV) of a defined area of a field at the determined plurality of time instants. Thereafter, the control device detects and tracks a crop plant in the defined area and generate a bounding box around the crop plant that is tracked. Further, the control device detects a plurality of buffer values and cause an implement to perform a predefined action on the crop plant.

Abstract: The invention provides therapeutic compositions that contain an inhibitor of dihydroorotate dehydrogenase (DHODH) and promote sustained elevation of dihydroorotate (DHO) levels in a patient. The compositions are useful for treating disorders associated with unregulated DHODH activity, such as acute myeloid leukemia. The invention also provides methods of determining therapeutically effective doses of compositions that contain a DHODH inhibitor. The invention further provides methods of synthesis of 2-(2?-halo-1-1?-biphenyl-4-yl)-quinoline carboxylic acids, which are useful as DHODH inhibitors.

Abstract: Methods, apparatus, and processor-readable storage media for data archival recommendation systems using artificial intelligence techniques are provided herein. An example computer-implemented method includes processing data associated with database operations performed across multiple database storage zones in one or more databases; generating, using one or more artificial intelligence techniques and based at least in part on the processing of data associated with the database operations performed across the multiple database storage zones, one or more temporal-based data archival recommendations for at least a portion of the multiple database storage zones in the one or more databases; and performing one or more automated actions based at least in part on the one or more temporal-based data archival recommendations.

Abstract: Methods, apparatus, and processor-readable storage media for temporal supply-related forecasting using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining one or more forecasts pertaining to supply of at least one item by processing supply-related data using one or more artificial intelligence techniques; generating, based at least in part on the one or more forecasts, one or more temporal recommendations associated with one or more orders of at least one a portion of the at least one item; and performing one or more automated actions based at least in part on the one or more temporal recommendations.

Abstract: Methods, apparatus, and processor-readable storage media for a neural network-based message communication framework with summarization and on-demand audio output generation are provided herein.

Abstract: Methods, systems, and apparatuses for configuring a device for a specific task or set of tasks thereby allowing the device to be used for more than one task or set of tasks while also enabling fine-grain control over how the device may be used. A device's file system can operate with a particular file system based on the task(s) that the device will perform. Further, the device can physically configure itself based on the task(s) that the device will perform.

Abstract: Techniques are disclosed for a multi-layer micro model analytics framework for analyzing or otherwise processing data. For example, a method comprises building two or more micro models respectively for two or more stages of a given process, wherein each micro model of the two or more micro models comprises a user interaction layer and a predictive learning layer that coordinate to train the micro model based on input to the user interaction layer and data accessible by the predictive learning layer for the corresponding stage of the two or more stages of the given process. The method then assembles the two or more micro models to perform analysis for the given process. In one non-limiting example, the given process is a new product introduction process and each micro model is built and trained to perform analytics for a specific lifecycle stage of the process.

Abstract: Methods, apparatus, and processor-readable storage media for automated database operation classification using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining at least one query related to one or more database operations; obtaining information pertaining to a set of multiple storage resources; classifying the at least one query as associated with at least one of multiple subsets of storage resources among the set of multiple storage resources by processing at least a portion of the query and at least a portion of the information pertaining to the set of multiple storage resources using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one query.

Abstract: An aircraft includes a gas turbine engine, an electric motor, and a propulsion device. The gas turbine engine and the electric motor are configured to provide a target cumulative output to the propulsion device. An electronic control unit is configured to set the gas turbine engine to a first engine mode to provide a first engine output to the propulsion device, set the electric motor to a first motor mode to provide a first motor output to the propulsion device, a sum of the first engine output and the first motor output being within a predetermined range of the target cumulative output, and in response to a speed of the aircraft reaching a target speed and the first engine output increasing to a second engine output, set the electric motor to a second motor mode.

Abstract: A diesel exhaust fluid (DEF) nozzle includes a first conduit, an outlet of the first conduit defining an inlet of a first mixing chamber; and a second conduit disposed around the first conduit, an outer surface of the first conduit and an inner surface of the second conduit defining a second flow path therebetween. A flow area of the second flow path decreases from an inlet of the second flow path to a throat, and increases from the throat to an outlet of the second flow path. The inner surface of the second conduit defines a peripheral wall of the first mixing chamber, and a peripheral wall of a second mixing chamber, the first flow path and the second flow path being in fluid communication with the second mixing chamber via the first mixing chamber.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing voice-activated ambulance booking. Initially, a non-medical user initiates a workflow, via a voice command, that enables the user to provide information about a patient that can be utilized to prioritize the booking of ambulances for patients. Upon providing the initial voice command, the workflow is provided, via a user interface of the user device. The workflow comprises a series of questions corresponding to a status of the patient that can easily be answered merely by observing the patient (e.g., is the patient conscious, is the patient breathing, is the patient bleeding). Based on responses provided by the user, an ambulance is requested for the patient. User device vitals including battery charge levels and signal strength can be used to resolve conflicts if multiple requests are made.

Abstract: Techniques are disclosed for data management in an information processing system. For example, a method comprises analyzing one or more data sources, wherein each of the one or more data sources comprise a set of metadata and usage information associated with the set of metadata. The method then determines at least one of data definitions and data classifications for the one or more sets of metadata across the one or more data sources, and stores the at least one of data definitions and data classifications for the one or more sets of metadata in a repository.

Abstract: Techniques are disclosed for domain-driven intent-based feedback data analysis. For example, a method comprises obtaining a feedback data set, and classifying the feedback data set into at least one domain of a plurality of domains. The feedback data set is mapped to a domain data set corresponding to the at least one domain, and a root cause is computed for the feedback data set to enable one or more actions to be taken in response to the feedback data set based on the root cause. By way of further example, computing the root cause for the feedback data set may further comprise utilizing at least one computed intent attribute, at least one computed sentiment attribute, and the domain data set to compute a decision on the root cause for the feedback data set.

Abstract: Methods, apparatus, and processor-readable storage media for automated database operation classification using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining at least one query related to one or more database operations; obtaining information pertaining to a set of multiple storage resources; classifying the at least one query as associated with at least one of multiple subsets of storage resources among the set of multiple storage resources by processing at least a portion of the query and at least a portion of the information pertaining to the set of multiple storage resources using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one query.