Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: A control plane system can be used to manage or generated components in a shared computing resource environment. To generate a modified components, the control plane system can receive receiving configurations of a component. The configurations can include software versions and/or parameters for the component. Using the configurations, the control plane system can generate an image of a modified component, and communicate the image to a master node in the shared computing resource environment. The master node can provides one or more instances of the modified component for use based on the received image.

Abstract: Persistent storage contains a state machine for a request routing process and a plurality of requests related to the request routing process. One or more processors are configured to apply the state machine through operations including: obtaining a request from the plurality of requests; providing, to a criticality detection application and to an intent detection application, a representation of the request, wherein the criticality detection application is configured to detect a criticality of the request, and wherein the intent detection application is configured to determine a semantic intent of the request; receiving, from the criticality detection application and the intent detection application, respective indications of a detected criticality of the request and a detected intent of the request; determining whether to route the request to a channel that is one of a live agent, a virtual agent, or a search-based application; and routing the request to the channel as determined.

Abstract: A system includes persistent storage containing predefined user interface (UI) component templates and a representation of a web page that includes a runtime UI component configured to reserve an empty portion of the web page to be populated by UI components generated at runtime. The system also includes a processor configured to perform operations, including receiving, from a client device, a request for the web page, and determining, based on the request, that the web page includes the runtime UI component. The operations also include determining runtime parameter values associated with the request, and determining, based on the runtime parameter values and the predefined UI component templates, context-specific UI components to populate the empty portion of the web page. The operations further include generating a context-specific representation of the web page based on the context-specific UI components, and transmitting, to the client device, the context-specific representation.

Abstract: A chat message is received from a user to a primary virtual agent service. A secondary virtual agent service to handle the chat message is automatically evaluated and selected. The secondary virtual agent service is selected from a plurality of candidate secondary virtual agent services that includes at least one virtual agent service provided by a third-party entity external to an entity providing the primary virtual agent service. The chat message is transformed from a first format of the primary virtual agent service to a second format of the selected secondary virtual agent service. The chat message is forwarded in the second format to the selected secondary virtual agent service.

Abstract: Analytic data about digital chat conversations taking place within a digital workflow environment is tracked and stored. The analytic data tracks conversation progression states between individual node elements of at least one digital chat conversation flow design. A specification of an interested event for the analytic data is received. Data associated with the interested event is extracted and provided for analysis.

Abstract: An indication from a live agent in a communication session with a user to invoke a specified automated agent interactive conversation flow is received. The communication session with the user is transitioned from the live agent to the specified automated agent interactive conversation flow. During the specified automated agent interactive conversation flow, the live agent retains control over the communication session. An indication of an interaction of the user with the specified automated agent interactive conversation flow is provided. The communication session with the user is returned back to the live agent.

Abstract: Analytic data about digital chat conversations taking place within a digital workflow environment is tracked and stored. The analytic data tracks conversation progression states between individual node elements of at least one digital chat conversation flow design. A specification of an interested event for the analytic data is received. Data associated with the interested event is extracted and provided for analysis.

Abstract: An indication of an actionable notification to be sent to a user is received. A communication channel among a plurality of communication channel options for the user is selected based at least in part on a previous communication history with the user. The actionable notification is sent to the user via the selected communication channel at a time selected based on an activity status of the user.

Abstract: A chat message from a user to a primary chat bot service is received. A secondary chat bot service is automatically evaluated and selected to handle the chat message, wherein the secondary chat bot service is selected from a plurality of candidate secondary chat bot services that includes at least one chat bot service provided by a third-party entity external to an entity providing the primary chat bot service. The chat message is forwarded to the selected secondary chat bot service.

Abstract: A chat message from a user to a primary chat bot service is received. A secondary chat bot service is automatically evaluated and selected to handle the chat message, wherein the secondary chat bot service is selected from a plurality of candidate secondary chat bot services that includes at least one chat bot service provided by a third-party entity external to an entity providing the primary chat bot service. The chat message is forwarded to the selected secondary chat bot service.

Abstract: The present disclosure provides methods and systems for detecting or analyzing a biomolecule. The methods and systems may comprise the use of a plurality of electrodes and a solution which may comprise a variety of reagents. In an example, the solution may comprise one or more redox-active molecules or compounds which may undergo or facilitate a redox cycling process. The redox cycling process may generate an electric signal that may be measured by one or more of the plurality of electrodes. An introduction of a nucleotide having a redox cycling current modifying particle coupled thereto to the solution may result in a change in the electric signal. The change in the electric signal may be used to identify the biomolecule or a portion thereof.

Abstract: A device may obtain, from a collection of data sources, personal information and activity information for a group of individuals. The device may generate profile information by associating the personal information and the activity information for each individual in the group of individuals. The device may determine a set of features capable of being used to train a set of machine learning models by using one or more feature identification techniques to analyze the profile information. The set of features may include generic features and contextualized features associated with the group of individuals. The device may train the set of machine learning models using one or more subsets of features of the set of features. The device may use the set of machine learning models to process a request from a client device for a list of prospective targets for a campaign.

Abstract: Methods, systems, and computer-readable media for identifying potential process failure in a robotic process automation (RPA) platform, actions can include providing a predictive model based on application records of processes executed in the RPA platform, receiving data representative of a process being executed by a bot within the RPA platform, determining a prediction indicating a likelihood of failure of the process, and selectively issuing an alert in response to the prediction.

Abstract: Methods, systems, and computer-readable media for identifying potential process failure in a robotic process automation (RPA) platform, actions can include providing a predictive model based on application records of processes executed in the RPA platform, receiving data representative of a process being executed by a bot within the RPA platform, determining a prediction indicating a likelihood of failure of the process, and selectively issuing an alert in response to the prediction.

Abstract: A device may obtain, from a collection of data sources, personal information and activity information for a group of individuals. The device may generate profile information by associating the personal information and the activity information for each individual in the group of individuals. The device may determine a set of features capable of being used to train a set of machine learning models by using one or more feature identification techniques to analyze the profile information. The set of features may include generic features and contextualized features associated with the group of individuals. The device may train the set of machine learning models using one or more subsets of features of the set of features. The device may use the set of machine learning models to process a request from a client device for a list of prospective targets for a campaign.

Abstract: The present disclosure provides systems and methods for sequencing nucleic acid molecules using tunneling labels. A sequence of a nucleic acid molecule may be identified with high accuracy using a chip comprising sensors, wherein each individual sensor may comprise at least two electrodes separated by a gap. The electrodes may be configured to generate at least one electrical signal upon binding of a tunneling label associated with a nucleotide. Epigenetic information can also be determined at the same time as a nucleic acid sequence.

Abstract: A scannable flip-flop circuit and method for low power scan operation are provided. The scannable flip-flop includes a flip-flop for receiving an input signal, and for generating a flip-flop output signal. The scannable flip-flop also includes a voltage selection circuit coupled to the flip-flop. The voltage selection circuit supplies a first voltage to the flip-flop during a first state of a voltage selection signal, and supplies a second voltage to the flip-flop during a second state of the voltage selection signal. A series of scannable flip-flops may be arranged in a scan chain for testing during a scan test mode.

Abstract: Flip-flop cells that enable time borrowing during the design of the IC to improve setup times while avoiding introducing meta-stability, and alternatively to avoid hold time violations. The flip-flop cells are connected with logic cells in functional data paths. The flip-flop cell has a clock signal controlling both its input and output. A selective delay cell selectively delays either a data signal input to the flip-flop cell or the clock signal controlling the flip-flop cell. The selectively delayed signal adjusts the timing (setup, hold and clock-to-output) of the data path.

Abstract: An n-bit counter is formed from cascading counter sub-modules. The counter includes combinatorial control logic coupled to a lower-order counter sub-module. The control logic includes a clock-gating integrated cell arranged to clock gate at least one higher-order counter sub-module dependent on a logical combination of outputs of the lower-order counter sub-module and to provide a multi-cycle path for resolution of a logical combination of outputs of any subsequent cascaded counter sub-modules. The control logic does not include any intervening memory device between the lower-order counter sub-module and the clock-gating integrated cell for use in determining a later control logic output.