Abstract: Dialog acts (e.g., questions) are selected for voice browsing by a model trained to identify a dialog act that is most likely to lead to a desired outcome. Upon receiving an invocation to begin a conversation, a score indicative of a level of confidence that the conversation will have a successful outcome is determined, and a dialog act is selected based on the score. Subsequently, at each turn of the conversation, the score is updated or a new score is calculated, and a dialog act is selected based on the updated or new score. Confidence scores are calculated based on input features that are determined based on the user who uttered the invocation or responses to dialog acts, as well as a context of the conversation, and provided to a linear model or a machine learning model as inputs.

Abstract: A semiconductor device includes a low power fast differential transconductor, which provides an output current as a function of a difference between a reference potential input and a feedback potential input. The transconductance increases as an absolute value of the difference between the reference potential and the feedback potential increases. The transconductor includes a reference input stage to receive the reference potential and a reference load coupled in series with the reference input stage. The transconductor includes a feedback input stage to receive the feedback potential and a feedback load coupled in series with the feedback input stage. The transconductor further includes a current limiting component that is configured to control a total current through the reference input stage and the feedback input stage.

Abstract: Methods, systems, apparatus, and articles of manufacture to augment training data based on synthetic images are disclosed. An example apparatus disclosed herein includes programmable circuitry to generate, with one or more first layers of a generative adversarial network (GAN), a latent representation corresponding to a first image representative of a first racial domain, generate, with one or more second layers of the GAN, a second image based on the latent representation, the second image corresponding to a second racial domain different from the first racial domain, and augment a training dataset based on the second image.

Abstract: A plasma thruster has a tunable electron source configured to provide electrons with controllable energy. An entry electrode and an exit electrode permit an air flow to pass from the entry electrode to the exit electrode. The entry electrode and exit electrode receive electrons from the tunable electron source. A controller selectively controls the entry and exit electrodes to accelerate positive and negative ions in the air.

Abstract: Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for methods and apparatus to generate I/O timing constraint predictions for system-on-chips using machine learning. An apparatus is disclosed herein comprising at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to extract delay features from a first system-on-chip design and a second system-on-chip design, apply a machine learning model to the extracted delay features to determine an estimated delay for the first system-on-chip design, compare the estimated delay for the first system-on-chip design to the second system-on-chip design to determine an error of the first system-on-chip design, and update the second system-on-chip design based on the error determined for the first system-on-chip design.

Abstract: A compensation circuit includes a tail current source, an error amplifier; a compensation resistor, and a voltage-to-current converter circuit. The tail current source is configured to generate a tail current. The error amplifier is coupled to the tail current source and biased by the tail current. The compensation resistor is coupled to the error amplifier. The voltage-to-current converter circuit is coupled to the error amplifier. The compensation resistor is configured to vary in resistance responsive to a change in the tail current, or the voltage-to-current converter circuit is configured to vary in transconductance responsive to the change in the tail current.

Abstract: Explanation of an analytical result, is afforded to a user by a populating a template with the result of searching homogenous clusters. During a preliminary phase, configuration changes are asynchronously fetched from services of an analytic application, and then grouped into homogenous clusters. Then, during a synchronous phase, a request to explain a particular analytical result is received from the application. Based upon content of the explanation request, the clusters are traversed in order to create a final path. A template comprising an explanation note with blanks, is selected from a template store and then populated with data from the final path. The populated template and the final path are stored together as an outcome. The outcome is then processed according to a challenge function, with the resulting challenged outcome communicated back to the application and afforded to provide the user with an explanation of the analytical result.

Abstract: A framework provides a detailed explanation regarding specific aspects of a (complex) calculation produced by an application (e.g., an analytical application). An explainability engine receives a request for explanation of the calculation. The explainability engine traverses homogenous data clusters according to the request, in order to produce a final path. The final path is used to select and then populate a template comprising explanation note(s). The outcome (comprising the final path and the template) is processed with a ruleset according to a covariance (COV) function in order to provide a first intermediate outcome. The first intermediate result is then processed with a second input according to a correlation (COR) function to provide a second intermediate outcome. The second intermediate result is processed according to a challenge function to provide a challenged outcome, and feedback (e.g., reward or penalization) to the ruleset. The challenged outcome provides detailed explanation to the user.

Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.

Abstract: Systems, computer program products, and methods are described herein for end-to-end automation of network infrastructure development changes. The present disclosure is configured to collect and archive data comprising feature logs, resource logs, and events in a central historical data storage. This data is subsequently normalized and events are correlated to specific features. This correlation involves locating differences in pre and post-deployment feature performance, which includes resource utilization, and maintaining a history of the analyzed data in the central historical data storage.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: A method, a processing unit, and a non-transitory computer-readable medium for controlling viewpoint of attendees in immersive environment are disclosed. For controlling viewpoint, initially, presenter input is received. Presenter input indicates objects selected amongst plurality of objects displayed in 360° view of a content in immersive environment. Further, the objects to be displayed are dynamically fixed within viewpoint across the 360° view of the attendees. The objects are dynamically fixed within viewpoint irrespective of inputs received from the attendees to change objects within viewpoint. New objects, amongst the plurality of objects are detected based on at least one of real-time preferences of the attendees and real-time context of the content provided by the presenter. Upon detecting the new objects, the objects are dynamically re-fixed within the viewpoint of the attendees.

Abstract: Distributed tracing is applied during an upgrade from a first management appliance to a second management appliance. The distributed tracing method includes generating a parent span that encapsulates states of the overall workflow, including a span context that contains a trace identifier and a span identifier, and generating a plurality of child spans. Each child span encapsulates states that represent a piece of the workflow and contains a reference to the parent span context. The states of the child spans include an error tag that indicates whether the piece of the workflow associated with the child span executed with an error. Because child spans may be generated for a piece of the workflow that is executed by a service running in the first or second management appliance, the span context for the parent span is persisted by the first management appliance and replicated for use by the second management appliance.

Abstract: A multi-lane elevated body temperature preventative scanning solution using GigE vision and tracking. This multi-lane solution is used to scan and track movement of people through an elevated body temperature scanning solution. When a person enters the frame, their identity (ID) is tracked within the field of view of the thermal camera in a designated scanning area from there it is monitored through the entry and exit of a premise to acquire a preventative temperature screening. Multiple machine learning and tracking routines are used together in this innovative offering.

Abstract: Embodiments of a method and system for improving sleep characterization and/or a sleeping-related disorder for a user associated with a sleep session can include receiving a log of use dataset corresponding to user digital communication behavior at a mobile device, the log of use dataset associated with the sleep session; receiving a supplementary dataset characterizing activity of the user and/or mobile device, the supplementary dataset associated with the sleep session; characterizing a sleep-related parameter for the user based on at least one of the log of use dataset and the supplementary dataset; determining a sleep care plan for the user based on the sleep-related parameter, the sleep care plan including a therapeutic intervention; and promoting a therapeutic intervention to the user according to the sleep care plan.

Abstract: Devices, systems, and methods are provided for user profile management across multiple devices. A method may include determining, by a first device, that the first device is signed into a customer account; determining that the customer account includes a first user profile and a second user profile, the first user profile having first identity data, and the second user profile having second identity data; determining that third identity data for the first user profile is available for presentation, the third identity data based on a user interaction with a second device; determining that the first user profile is enrolled on the first device; presenting the first identity data using the first device; receiving a second user request to access the first user profile; and presenting, using the first device, content based on the second user request and a user preference associated with the first user profile.

Abstract: A method performing at least one of hardware component compatibility checks or resource checks for datastore deployment is provided. The method includes receiving a request to aggregate local disks of a first host in a first host cluster to create and deploy a first datastore for the first host cluster, determining one or more of hardware components on the first host supports the deployment of the first datastore using a first database file available on the first host or resources on the first host support the deployment of the first datastore, and aggregating the local disks of the first host to create and deploy the first datastore for the first host cluster based on the determination.

Abstract: A pitot tube sensing apparatus and method are disclosed for determining the presence or absence of a foreign object within the pitot tube sensing apparatus, and including a pitot tube having a channel, a pressure sensor coupled to the channel, a capacitor and a system. The capacitor includes two electrodes on opposing sides of the channel. The system measures a parameter indicative of a capacitance between the two electrodes and determines the presence or absence of a foreign object within the channel based on the parameter.