Abstract: A stack containment fixture is disclosed. The stack containment fixture includes an insertion zone structure including an insertion zone structure and a kitting area structure. The insertion zone structure includes a pair of substantially vertically oriented deflecting arms. each having one or more funnels configured to guide a stack into a position between the deflecting arms as the stack is lowered into the insertion zone structure from above. The kitting area structure is configured to support the vehicle or the stack during kitting operations for items being placed in the vehicle or stack or for items being picked from the vehicle or stack.

Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.

Abstract: Apparatuses, systems, and methods for implementing a multi-driver architecture are described. The multi-driver architecture may include a first driver and a second driver configured to receive an input voltage. A predriver logic circuit may select one of the first driver and the second driver to convert the input voltage into an output voltage. A controller may be connected to the first driver and the second driver, and a switch may be connected between an output terminal of the first driver and the controller. The controller may be configured to control an internal resistance of the switch. In response to the first driver being selected by the predriver logic circuit, the first driver may output the output voltage at a constant impedance level.

Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.

Abstract: In accordance with an embodiment, described herein are systems and methods for use with a computing environment, for providing a determination of model fitness and stability, for model deployment and automated model generation. A model fitness and stability component can provide one or more features that support model selection, use of a model deployability score and deployability flag, and mitigation of model drift risk, to determine model fitness and stability for a particular application. For example, embodiments may be used with analytic applications, data analytics, or other types of computing environments, to provide, for example, a directly actionable risk prediction, in finance applications or other types of applications.

Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.

Abstract: Gaps in proficiencies may be identified within an enterprise. Understanding gaps in the existing workforce may help inform training, hiring, and firing decisions to ensure successful completion of the upcoming projects and deadlines. Using a multi-level model for each proficiency that accounts for enterprise needs as well as hiring, retraining, and the like, a relationship between proficiencies, projects, and employees over time may be generated as a multi-dimensional temporal model. The temporal model may be simulated to forecast gaps in proficiencies of the employed workforce. Recommendations regarding retraining, hiring, and termination can be made to help users remedy the deficiencies. Additionally, the proficiencies most valuable to the enterprise may be determined using a catalog of proficiencies to cluster the proficiencies into proficiency clusters for each job or job category and the proficiencies scored.

Abstract: A method of generating natural language outputs may include accessing a model of a system, where the system may be represented by a hierarchy of nodes in a data structure, and nodes in the hierarchy of nodes may include time series of data. The method may also include identifying a time series represented by a node in the data structure that will generate a future anomaly; accessing a template corresponding to a type of the time series; populating semantic tags in the template using data from the time series; sending a phrase from the template to a natural language model; receiving a plurality of similar phrases from the natural language model; selecting one of the plurality of similar phrases and replacing the phrase in the template; and causing language from the template to be displayed on a display device.

Abstract: A method of creating and executing action pathways for time series data may include accessing a model of a system, where the system is represented by a hierarchy of nodes in a data structure representing time series of data. The method may also include simplifying the model by removing relationships between the nodes that affect parent nodes less than a threshold amount, and simulating the model to identify a node comprising a time series of data that risks missing a predefined target value. The method may further include generating a pathway of actions for changes to driver nodes that cause the time series of data to move within a threshold distance of the predefined target value in the future, and causing the pathway of actions to be executed.

Abstract: The invention relates to a time-delay circuit (1) for a digital signal (3), particularly for a clock signal, comprising: an input (2) for the digital signal (3); an oscillator (4) for generating an internal clock signal (5); at least one delay channel (6) adding a certain delay to the digital input signal (3) based on the internal clock signal (5); and an output (7) for a delayed digital signal (8).

Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.

Abstract: Power management systems for an electronic product demonstration fixture for demonstrating portable electronic devices. The product demonstration fixture may include an exhibition portion and a base portion. A portable electronic device offered for sale may be affixed to the exhibition portion. The base portion may include an electronic display, an auxiliary battery, and an auxiliary controller. The auxiliary controller may direct power from the auxiliary battery to the electronic display upon determining that a battery within the electronic display has fallen below a particular selected level. Similarly the auxiliary controller may direct power from the auxiliary battery to the portable electronic device offered for sale upon determining that a battery within the portable electronic device has fallen below a selected level.

Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.

Abstract: Described herein are systems and techniques for identifying at-risk opportunities and generating a recommendation that can be used by the representatives to help salvage the opportunities. Historical information as well as machine learning algorithms are used to identify the failing opportunities by classifying new and currently in-pursuit opportunities using information from past opportunities to identify which of the new and in-pursuit opportunities might be at risk. Distances between opportunities are estimated based on local neighborhoods determined by relevant variables influencing those opportunities in the local neighborhood. The shortest distance between at risk opportunities and winning opportunities can be identified and utilized to generate the recommendation based on the relevant variables for the shortest path. In some embodiments, an ordered list of actions or changes to actions needed for a successful disposition of the opportunity may be generated and provided to the representative.

Abstract: There are significant advantages to employing a diverse workforce within an enterprise. Techniques for identifying gaps in diversity hiring, promotion, and termination within an enterprise are provided herein. The techniques described herein may be used to analyze any large data set for comparison of aggregated data. Employment data may be collected and aggregated based on classifications such as ethnicity, gender, veteran status, disability status, and so forth, and within each classification the data can be aggregated for hiring, termination, promotion, and so forth. Two aggregates can be identified for comparison, and statistical scores may be generated for the first aggregate as compared to the second aggregate. Each of the statistical scores may be weighted and the scores may be combined to generate a single impact score. The impact score can be used to identify gaps in diversity employment practices within the enterprise.

Abstract: Predictive analysis techniques are described herein as applied to business variables. In some embodiments, a dynamic dependency model may be generated using a time-series data from a first time period. The model may define relationships between business variables during the first time period. A prediction of values of a variable (e.g., a business variable such as sales, revenue, attrition, or the like) can be generated based on the dynamic dependency model. The prediction of values may be for a second time period after the first time period. The actual values of the variable over the second time period can be obtained and compared to the predicted values to generate a statistical deviation. The statistical deviation may exceed a threshold and, a notification of the statistical deviation may be transmitted to a user device. The notification may alert the user that the variable is likely to miss the targeted/predicted value.

Abstract: Gaps in proficiencies may be identified within an enterprise. Understanding gaps in the existing workforce may help inform training, hiring, and firing decisions to ensure successful completion of the upcoming projects and deadlines. Using a multi-level model for each proficiency that accounts for enterprise needs as well as hiring, retraining, and the like, a relationship between proficiencies, projects, and employees over time may be generated as a multi-dimensional temporal model. The temporal model may be simulated to forecast gaps in proficiencies of the employed workforce. Recommendations regarding retraining, hiring, and termination can be made to help users remedy the deficiencies. Additionally, the proficiencies most valuable to the enterprise may be determined using a catalog of proficiencies to cluster the proficiencies into proficiency clusters for each job or job category and the proficiencies scored.

Abstract: An integrated circuit includes a low voltage differential signaling (LVDS) output circuit, a high-speed current steering logic (HCSL) output circuit, a bias control circuit, a programmable voltage reference circuit coupled to the bias control circuit, an output stage circuit coupled to the HCSL output circuit, a first plurality of switches to switchably couple the bias control circuit to the LVDS output circuit, a second plurality of switches to switchably couple the bias control circuit to the output stage circuit and to the HCSL output circuit and a logic control circuit coupled to the programmable voltage reference circuit, the first plurality of switches and the second plurality of switches. The logic control circuit is configured to activate either the LVDS output circuit or the HCSL output circuit.

Abstract: An integrated circuit comprising, a voltage regulator circuit and a programmable low power high-speed current steering logic (LPHCSL) driver circuit coupled to a common supply voltage. The voltage regulator circuit includes a native source follower transistor having a negative threshold voltage to provide more headroom for the voltage regulator to operate. The LPHCSL driver circuit includes a plurality of selectable output driver legs and a plurality of programmable resistors. The ability to use a common supply voltage and the ability to select multiple output impedance drivers reduces the die area without increasing the complexity of the integrated circuit.

Abstract: Power management systems for an electronic product demonstration fixture for demonstrating portable electronic devices. The product demonstration fixture may include an exhibition portion and a base portion. A portable electronic device offered for sale may be affixed to the exhibition portion. The base portion may include an electronic display, an auxiliary battery, and an auxiliary controller. The auxiliary controller may direct power from the auxiliary battery to the electronic display upon determining that a battery within the electronic display has fallen below a particular selected level. Similarly the auxiliary controller may direct power from the auxiliary battery to the portable electronic device offered for sale upon determining that a battery within the portable electronic device has fallen below a selected level.