Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: Performance of a first generated model can be monitored while the first generated model is deployed for use on live data. The monitoring can include determining a first performance value of the first generated model. Performance of a second generated model can be monitored while the second generated model is deployed for use on live data. The monitoring can include determining a second performance value of the second generated model. A plot including a first axis and a second axis can be rendered. The first axis can include a characterization of a first performance metric and the second axis can include a characterization of a second performance metric. A first graphical object at a first location characterizing the first performance value and a second graphical object at a second location characterizing the second performance value can be rendered. Related apparatus, systems, techniques and articles are also described.

Abstract: A method includes receiving input specifying a first selection of a first value of a variable of a dataset, the variable including a set of values associated with a model including a set of submodels, the set of submodels including a first submodel, the first value associated with the first submodel; determining a first routing rule specifying use of the first submodel associated with the selected first value when the model receives the selected first value as input; and deploying the model with the first routing rule. Related apparatus, systems, techniques and articles are also described.

Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: Performance of a first generated model can be monitored while the first generated model is deployed for use on live data. The monitoring can include determining a first performance value of the first generated model. Performance of a second generated model can be monitored while the second generated model is deployed for use on live data. The monitoring can include determining a second performance value of the second generated model. A plot including a first axis and a second axis can be rendered. The first axis can include a characterization of a first performance metric and the second axis can include a characterization of a second performance metric. A first graphical object at a first location characterizing the first performance value and a second graphical object at a second location characterizing the second performance value can be rendered. Related apparatus, systems, techniques and articles are also described.

Abstract: Data characterizing a set of models trained on a dataset using a set of resourcing levels can be received. The set of resourcing levels can specify a condition on outputs of models in the set of models. Performance of the set of models can be assessed using the set of resourcing levels. A feasible performance region can be determined using the assessment. The feasible performance region can associate each constraint in the set of resourcing levels with a model in the set of models. The feasible performance region can be displayed. Related apparatus, systems, articles, and techniques are also described.

Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution.

Abstract: Business process provider(s) process client data. The clients use certain formats (client formats, defined by client format fields). The client format fields instantiated in documents are analyzed. Based on this analysis, the client processes are automatically grouped into different process platforms for processing. For example, similar client processes preferably are grouped together into the same process platform, in order to increase efficiency of processing. In another aspect, the user interfaces used by the business process provider(s) may be constructed from different blocks, where the blocks are automatically defined based on the analysis of client format fields.

Abstract: Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution.

Abstract: A method includes receiving, via a graphical user interface, data characterizing user input specifying a cost of error of a prediction, a model type requirement, and a computational resource allocation for model development; determining, based on the received data and using a model, a prediction of model performance; and rendering, within the graphical user interface, a plot including a first axis, a second axis, and a region characterizing the determined prediction of model performance, the first axis including a characterization of a first performance metric and the second axis including a characterization of a second performance metric. Related apparatus, systems, techniques and articles are also described.

Abstract: A method includes monitoring performance of a generated model while the generated model is being used for classification on live data, the monitoring including determining a first performance value of the generated model at a first point in time and determining a second performance value of the generated model at a second point in time; rendering, within a graphical user interface, a plot including a first axis and a second axis, the first axis including a characterization of a first performance metric and the second axis including a characterization of a second performance metric; and rendering, within the graphical user interface and the plot, a first graphical object at a first location characterizing the first performance value and a second graphical object at a second location characterizing the second performance value. Related apparatus, systems, techniques and articles are also described.

Abstract: Performance of a first generated model can be monitored while the first generated model is deployed for use on live data. The monitoring can include determining a first performance value of the first generated model. Performance of a second generated model can be monitored while the second generated model is deployed for use on live data. The monitoring can include determining a second performance value of the second generated model. A plot including a first axis and a second axis can be rendered. The first axis can include a characterization of a first performance metric and the second axis can include a characterization of a second performance metric. A first graphical object at a first location characterizing the first performance value and a second graphical object at a second location characterizing the second performance value can be rendered. Related apparatus, systems, techniques and articles are also described.

Abstract: A method includes receiving, via a model building platform, historical user behavior including historical data analysis characteristics; generating, based on the historical data analysis characteristics, a blueprint for guiding user action to accomplish a task, the generating including constructing the blueprint using the historical data analysis characteristics; receiving, via graphical user interface, user input requesting generation of a model and a task description; determining, using the blueprint and based on the task description, data analysis characteristics; and rendering, within the graphical user interface, a prompt to select the determined data analysis characteristics. Related apparatus, systems, techniques and articles are also described.

Abstract: Systems and methods for controlling a firearm. Components embedded in a portion of the firearm enable the firearm to determine if a user of the firearm is authorized to do so, and either enable or disable a firing mechanism of the firearm accordingly. The firearm may also send communication signals regarding the status of the firearm or events detected by the firearm to a remote device controlled by an authorized user. The system may thereby notify the authorized user of attempted unauthorized use of the firearm, that the firearm has been left behind by the authorized user, or that the firearm is being tampered with. The system may also include multi-tag or a voice-override features that prevent the firearm from being used against the authorized user should the authorized user lose control of the firearm.

Abstract: A method includes receiving data characterizing a target accuracy and a performance metric of a model; rendering, within a graphical user interface display space, a plot including a first axis and a second axis, the first axis including a characterization of false positive and the second axis including a characterization of false negative; and rendering, within the graphical user interface display space and within the plot, a graphical object at a location characterizing the performance metric and a visualization indicative of the target accuracy. Related apparatus, systems, techniques and articles are also described.