Abstract: This disclosure describes systems, methods, and devices related to predictive modeling for evaluating vehicles. A device may receive a customer identifier (e.g., a user identification number, a social security number, driver license number, etc.). The device may retrieve credit data associated with the user identifier and vehicle data associated with a vehicle. The device may determine a first weight for the credit data and a second weight for the vehicle data. The device may determine, based on the first weight and the second weight, a value. The device may determine whether or not the value exceeds a profitability threshold. The device may determine a loan information associated with the customer identifier. The device may send a first indication of the product or service to a user device for presentation. The device may send a second indication of the loan information to the second device for presentation.

Abstract: Techniques for tuning parameters for machine learning models are described. Different values for a parameter are tested to determine the value that results in an optimized model. A parameter value may be selected for testing using a search algorithm based on how the model performs with respect to other values for the parameter. Different values may be tested until a stopping criterion (such as time for testing, number of trials, amount of enhancement in performance, etc.) is met. In some embodiments, the techniques may be used to determine parameter values for natural language processing models.

Abstract: A computing system comprising a memory and processing circuitry may perform the techniques. The memory may store time series data comprising measurements of one or more performance indicators. The processing circuitry may determine, based on the time series data, an anomaly in the performance of the network system, and create, based on the time series data, a knowledge graph. The processing circuitry may determine, in response to detecting the anomaly, and based on the knowledge graph and a machine learning (ML) model trained with previous time series data, a causality graph. The processing circuitry may determine a weighting for each edge in the causality graph, determine, based on the edges in the causality graph, a candidate root cause associated with the anomalies, and determine a ranking of the candidate root cause based on the weighting. The analysis framework system may output at least a portion of the ranking.

Abstract: Described embodiments provide systems and methods for analyzing process and resource metrics across client devices. A resource manager may receive metrics on resource utilization of a plurality of processes executing on at least some of a plurality of client devices. The resource manager may select a subset of the plurality of processes based on the metrics. The resource manager may determine a subset of the plurality of client devices which are executing the selected subset of processes. The resource manager may generate an alert which identifies the subset of processes and the subset of client devices which are executing the subset of processes.

Abstract: A computing system obtains a document that is to be shared between a first user and a second user. A first computing device of the first user displays a first local copy of the document. A second computing device of the second user displays a second local copy of the document. While a first view of the document corresponding to a state of the first local copy is being presented, the computing system receives an indication that the second user is to assume control of presentation of the document from the first user. The computing system receives state data from the second computing device that is indicative of a second view of the document corresponding to the second local copy. Based upon the state data, the computing system causes a state of the first local copy of the content to be updated to present the second view.

Abstract: A medical error reduction system may include a medical error reduction software for use in creating and revising at least one drug library. The software configured to provide one of a plurality of sets of privileges to each of a plurality of sets of users. Each of the plurality of sets of privileges arranged to allocate a degree of software functionality to one of the plurality of sets of users. The degree of software functionality configured to define the ability of a user to alter the at least one drug library. The medical error reduction system may include at least one server. The medical error reduction system may include at least one editor computer each of the at least one editor computer comprising a processor in communication with a display. The at least one editor computer and at least one server may be configured to communicate via a network in a client-server based model. Each of the at least one drug library may be for use in at least one medical device.

Abstract: Embodiments provide an adaptive issue type identification platform for automatically determining an issue type in an enterprise-level software development issue-tracking application. Embodiments include receiving a request to generate an issue data object, causing initializing of the issue data object in a data store, causing display of an issue management capability selection interface, and receiving issue capability selection input in response to user engagement with the issue management capability selection interface.

Abstract: A receiver circuit may include a first stage and a second stage. The first stage may include a first inverter circuit to generate a first signal based on an input signal and a second inverter circuit to generate a second signal based on the input signal. The second stage may determine a logic state of the input signal by combining the first signal generated by the first inverter circuit and the second signal generated by the second inverter circuit.

Abstract: The present embodiments relate to metadata value-based mapping during a data load in a data integration job. A computing device can receive a first data set from a source system and computer-readable instructions to load data into a target system. The device can receive a first metadata set from the target system that describe destinations. The computing device can identify a first data value of the first data set that matches a metadata value of the first metadata set. The device can receive a data integration mapping of the second data value of the first data set to a data field associated with the matching metadata value of the first metadata set. The device can load the second data value of the first data set from the source system into the target system pursuant to the mapping and the computer-readable instructions.

Abstract: Methods and systems for analysis of a plurality of channels that provide a remote desktop session are described herein. Channel metrics for each of a plurality of communication channels may be received. Each of the plurality of communication channels may be configured to deliver, to a computing device and via a network, different aspects of a remote desktop session. A plurality of channel scores may be determined for each communication channel of the plurality of communication channels. Based on the plurality of channel scores, an aggregate score may be determined. Based on the aggregate score satisfying a threshold, a notification may be transmitted. For example, an indication of one or more executable scripts predicted to improve a performance of one or more of the plurality of communication channels may be transmitted.

Abstract: Techniques for evaluating a natural language understanding (NLU) component and determining an action to resolve an issue processing a user input are described. The system determines which component is invoked by a baseline NLU component is processing the user input, and which component is invoked by an updated NLU component. Based on that information, the system selects the action to resolve the updated NLU component generating an undesired response to the user input.

Abstract: This disclosure describes systems and methods for improved transaction platforms. An example method may include receiving, by a processor and from a user, a selection of a first vehicle from a user interface. The example method may also include determining, by the processor and based on the first vehicle, a second vehicle. The example method may also include sending, by the processor, data associated with the first vehicle and data associated with the second vehicle to one or more entities. The example method may also include receiving, by the processor, first payment information for the first vehicle and second payment information for the second vehicle. The example method may also include determining, by the processor and based on the first payment information and the second payment information, third payment information for a third vehicle.

Abstract: Techniques for determining attributable data in a natural language user input that can be used to identify a specific user are described. A system may use various data signals determined using different components. The system may process the various signals to make a final determination on whether the input includes attributable data. The system may use a first component to detect user-identifiable data in the input. The system may use a second component to determine whether the input is potentially attributable to a particular user.

Abstract: An automated workflow process for integration of services with a data estate of an external entity. A plurality of application data models are obtained that are associated with of a plurality of applications on a cloud-based platform. A data model is obtained that corresponds to a collection of data to be processed. Mappings are determined between the data model and the plurality of application data models. A candidate application of the plurality of applications is identified for processing the collection of data based on the mappings. A communication suggesting the candidate application for processing the collection of data is sent to the external entity over one or more networks.

Abstract: A framework for enhanced search is provided to enable the user to contextually search documents, based on specified events. A management framework provides systems for obtaining a user's contextual data and the user's interaction data for which a Context Graph and an Interaction Graph are created, respectively. The user's context data include the various events associated with the user. The user's interaction data include times and locations the user interacted with a particular document, which device was used, the type of interaction, etc. The data from the two graphs are correlated and joined into an event graph. Upon receiving a natural language query from a user, one or more contextual query elements are identified, and the event graph is spanned to identify matching results which are then provided to the requesting user device.

Abstract: An ultrasound imaging system includes a thermally conductive frame and a number of electronic components and a display that are sealed within the frame. The frame further includes a plenum extending through the frame with surfaces that are thermally coupled to the electronic components and the display. An active cooling mechanism, such as one or more fans, moves air through the plenum to remove heat generated by the electronic components and display. The plenum is environmentally sealed so that moisture, dust, air or other contaminants drawn into the plenum do not contact the sealed electronic components and display in the frame.

Abstract: Described embodiments provide systems and methods for determining bounce-able machines. One or more processors can be coupled to memory. The one or more processors can identify data associated with a history of actions performed on a plurality of machines. The one or more processors can determine, using the data, a change in performance of the plurality of machines if a sequence of actions were applied to one or more of the plurality of machines. The one or more processors can select a machine of the plurality of machines based on at least on the change in performance of the machine satisfying a threshold. The one or more processors can initiate, responsive to the selection, the sequence of actions on the machine.

Abstract: An input buffer circuit includes a tracking circuit that produces a tracking signal and an inverter including a cascade of low voltage switching devices coupled to an output of the tracking circuit. The tracking signal follows a first signal during a first time period and a second signal during a second time period. The tracking circuit is configured to reduce an input high voltage/input low voltage (VIH/VIL) spread.

Abstract: Computing device state or activity based task reminders and automatic tracking of statuses of task-related activities are provided. Users are enabled to create reminders that are triggered based on a device state of the user’s device or activity signals from the operating system, an application, or a user file. The status of a task item can be inferred from signals collected from one or more sources. The signals provide information associated with tasks that the user performs in various life events. Machine learning, statistical analysis, behavioral analytics, and data mining techniques are applied to the signals, and the user’s activities are mapped to task items that the user has created. An inferred status of a task activity can be shared with other systems, or can be used for a variety of functions (e.g., to automatically update the user’s task list, or to remind the user of an uncompleted task item).

Abstract: An apparatus is provided for selecting an electronic calendar from a plurality of available electronic calendars for saving of an event for a user. The apparatus comprises a data storage storing user-specific inferences pertaining to the user; and a calendar suggestion module. The calendar suggestion module is configured to: apply semantic analysis to an indication of an event received at the apparatus; access the data storage to identify a user-specific inference that is relevant to the received event based on the semantic analysis; and using the relevant user-specific inference, select a calendar from the plurality of calendars to which the event should be stored. A corresponding method and computer program are also provided.