Abstract: A system includes a camera for capturing a first panorama view. The system determines a first bearing of a person within the first panorama view, and a first gaze direction of the person within the first panorama view. The system receives, from an external source, a second panorama view, a second bearing of the person within the second panorama view, and a second gaze direction of the person within the second panorama view. The system selects, by comparing the first gaze direction and the second gaze direction, a selected panorama view and a selected bearing of the person. The system forms a localized subscene video signal based on the selected panorama view along the selected bearing of the person. The system generates a stage view signal based on the localized subscene video signal and composites a composited signal comprising the stage view signal.

Abstract: A system includes a camera for capturing a first panorama view. The system determines a first bearing of a person within the first panorama view, and a first gaze direction of the person within the first panorama view. The system receives, from an external source, a second panorama view, a second bearing of the person within the second panorama view, and a second gaze direction of the person within the second panorama view. The system selects, by comparing the first gaze direction and the second gaze direction, a selected panorama view and a selected bearing of the person. The system forms a localized subscene video signal based on the selected panorama view along the selected bearing of the person. The system generates a stage view signal based on the localized subscene video signal, and composites a composited signal comprising the stage view signal.

Abstract: A system or method for imaging a panorama view may include a physical writing surface, a camera capturing the panorama view, and a sensor identifying a bearing of interest within the view. The system may maintain a coordinate map of the view, adjust an aspect ratio of the view, and generate a scaled panorama view based on the adjusted aspect ratio. The system may determine a coordinate of a designated view based on coordinate instructions and may generate a designated view signal based on the determined coordinate of the designated view comprising at least a portion of the physical writing surface. The system may composite a video signal including one or more of the scaled panorama view signal, a stage view signal, or the designated view signal, and may transmit the composite video signal.

Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.

Abstract: A machine learning server is provided for predicting innovations in one or more scenarios. The machine learning server includes a processor and a memory in communication with the processor. The processor is configured to receive a user input, define a scenario profile based on the user input, apply a first trained machine learning model to the scenario profile to generate at least one target associated with the scenario, wherein the at least one target includes a measurable outcome, prompt for a user selection from the target, apply a second trained machine learning model to the scenario profile and the user selection from the at least one target to generate at least one candidate innovation predicted to achieve the measureable desired outcome, obtain descriptive information related to the at least one candidate innovation, and present the descriptive information related to the at least one candidate innovation.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: A system includes a camera for capturing a first panorama view. The system determines a first bearing of a person within the first panorama view, and a first gaze direction of the person within the first panorama view. The system receives, from an external source, a second panorama view, a second bearing of the person within the second panorama view, and a second gaze direction of the person within the second panorama view. The system selects, by comparing the first gaze direction and the second gaze direction, a selected panorama view and a selected bearing of the person. The system forms a localized subscene video signal based on the selected panorama view along the selected bearing of the person. The system generates a stage view signal based on the localized subscene video signal, and composites a composited signal comprising the stage view signal.

Abstract: A system for imaging a panorama view including a physical writing surface includes a camera capturing the panorama view and a sensor identifying a bearing of interest within the view. The system maintains a coordinate map of the view, adjusts an aspect ratio of the view, and generates a scaled panorama view based on the adjusted aspect ratio. The system also determines a coordinate of a designated view based on coordinate instructions and generates a designated view signal based on the determined coordinate of the designated view comprising at least a portion of the physical writing surface. The system composites a video signal including one or more of the scaled panorama view signal, a stage view signal, or the designated view signal, and transmits the composite video signal.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: A conversation system may dynamically control a conversation or workflow by performing multi-modal conversation monitoring, generating actions that control the conversation based on the multi-modal monitoring producing conversation elements that deviate from patterns of a selected plan for that conversation, and/or by dynamically generating and/or updating the plan for future conversations based on the pattern recognition. For instance, the conversation system may detect a pattern within completed conversations that resulted in a common outcome, may monitor an active conversation between at least an agent and a participant, may extract different sets of conversation elements from different points in the active conversation, may determine that a particular set of conversation elements deviates from the pattern, and may modify the active conversation by performing one or more actions based on the particular set of conversation elements that deviate from the pattern.

Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.

Abstract: Embodiments for an automatic fluid shut off device having a float disposed in a fluid catch basin attached to a first end of a flexible cable movable in an opposite direction of rising fluid in the catch basin; a second flexible cable end extending to a fluid supply base and terminating adjacent to a restrained spider assembly, the spider assembly configured to be rotationally displaceable upon a force by the second flexible cable end in response to a rising fluid in the catch basin; the spider assembly pivotably connected to a shut-off valve; and the shut off valve retained in an open position while the spider assembly is restrained, and under a rotational force to close the shut-off valve upon activation of the spider valve in response to the force by the second flexible cable end.

Abstract: A machine learning server is provided for predicting innovations in one or more scenarios. The machine learning server includes a processor and a memory in communication with the processor. The processor is configured to receive a user input, define a scenario profile based on the user input, apply a first trained machine learning model to the scenario profile to generate at least one target associated with the scenario, wherein the at least one target includes a measurable outcome, prompt for a user selection from the target, apply a second trained machine learning model to the scenario profile and the user selection from the at least one target to generate at least one candidate innovation predicted to achieve the measureable desired outcome, obtain descriptive information related to the at least one candidate innovation, and present the descriptive information related to the at least one candidate innovation.

Abstract: Embodiments are provided for an automatic fluid shut off device having a float disposed in a fluid catch basin attached to a first end of a rod movable in a direction of rising fluid in the catch basin; a second rod end extending to a fluid supply base and terminating adjacent to a restrained latch arm end, the latch arm end configured to be pivotably displaceable upon a force by the second rod end in response to a rising fluid in the catch basin; the latch arm pivotably connected to a shut-off valve; and the shut off valve retained in an open position while the latch arm is restrained, and under a rotational force to close the shut-off valve upon a release of the latch arm in response to the force by the second rod end. The latch arm can be restrained by a latch arm retention notch extending downward and inward.

Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.

Abstract: Information can be added to the headers of email messages to ensure the messages are delivered using encryption, without the user having to manage keys or perform the encryption. A user can select an option in an email program that causes a flag to be added to the message header. Each mail server along the delivery path can provide (or expose) information about the type(s) of encryption supported, and if the encryption is not sufficient then the message will not be delivered to that server. This ensures the transport will remain encrypted before delivering the message to the next hop along the path. If the message cannot be delivered encrypted then the message will not be transmitted past that point. An end user then only needs to click a button or perform another such action to ensure encrypted message delivery.

Abstract: An adaptive conversational system may simultaneously monitor multiple active calls or ongoing voice or telephone conversations, may extract a different set of conversation elements from a current point in each conversation in real-time as each conversation proceeds, may determine different rules that apply to current points of different ongoing conversations based on the extracted conversation elements satisfying different rule triggers, and may control different conversations at different times according to actions of different rules that are applied at different times to different conversations. The system may selectively control the conversations when the conversations become non-compliant, deviate from best practices, or can be controlled to more effectively reach a positive disposition than when allowing a telephone agent to independently control the conversation.

Abstract: Information can be added to the headers of email messages to ensure the messages are delivered using encryption, without the user having to manage keys or perform the encryption. A user can select an option in an email program that causes a flag to be added to the message header. Each mail server along the delivery path can provide (or expose) information about the type(s) of encryption supported, and if the encryption is not sufficient then the message will not be delivered to that server. This ensures the transport will remain encrypted before delivering the message to the next hop along the path. If the message cannot be delivered encrypted then the message will not be transmitted past that point. An end user then only needs to click a button or perform another such action to ensure encrypted message delivery.

Abstract: A honeypot resource management service receives a request to provision one or more honeypot resources. In response to the request, the service identifies at least one computing resource service that is to be used to present the one or more honeypot resources. The service generates configuration information that is transmitted to the at least one computing resource service to cause the computing resource service to present the one or more honeypot resources to users in accordance with a set of parameters specified in the configuration information.