Abstract: The activities of multiple virtual personal assistant (VPA) applications are coordinated. For example, different portions of a conversational natural language dialog involving a user and a computing device may be handled by different VPAs.

Abstract: A method, apparatus and system for enabling the searchable storage of sequential application programs includes normalizing the sequential application programs, canonicalizing the sequential application programs, determining a unique identifier for each of the sequential application programs, and storing the unique identifier for each of the sequential application programs. The stored, unique identifier for the canonicalized sequential application programs can then be searched to, for example, determine if a sequential application program is stored and/or to certify at least one of the stored, canonicalized sequential application programs.

Abstract: A method, apparatus and system for enabling the searchable storage of sequential application programs includes normalizing the sequential application programs, canonicalizing the sequential application programs, determining a unique identifier for each of the sequential application programs, and storing the unique identifier for each of the sequential application programs. The stored, unique identifier for the canonicalized sequential application programs can then be searched to, for example, determine if a sequential application program is stored and/or to certify at least one of the stored, canonicalized sequential application programs.

Abstract: Methods and systems of using machine learning to create a trusted model that improves the operation of a computer system controller are provided herein. In some embodiments, a machine learning method includes training a model using input data, extracting the model, and determining whether the model satisfies the trust-related constraints. If the model does not satisfy the trust-related constraint, modifying at least one of: the model using one or more model repair algorithms, the input data using one or more data repair algorithms, or a reward function of the model using one or more reward repair algorithms, and re-training the model using at least one of the modified model, the modified input data, or the modified reward function. If the model satisfies the trust-related constraints, providing the model as a trusted model that enables a computer system controller to perform system actions within predetermined guarantees.

Abstract: Network security management technology as disclosed herein generates and dynamically updates an intuitive, interactive visualization of a computer network in live operation. The network security management technology interprets human user interactions, such as gestures, as network directives, and updates the interactive visualization in response to the network directives.

Abstract: The activities of multiple virtual personal assistant (VPA) applications are coordinated. For example, different portions of a conversational natural language dialog involving a user and a computing device may be handled by different VPAs.

Abstract: Network management technology as disclosed herein performs an impact analysis of actual or hypothetical network commands, and presents the impact analysis results to facilitate the user's understanding of the predicted consequences of the actual or hypothetical commands on network operations, management, or security.

Abstract: Network management technology as disclosed herein conducts conversational natural language dialog with a user to facilitate the user's analysis of network activity and the implementation of network security measures and other actions in furtherance of network operations, management, or security.

Abstract: Network management technology as disclosed herein performs an impact analysis of actual or hypothetical network commands, and presents the impact analysis results to facilitate the user's understanding of the predicted consequences of the actual or hypothetical commands on network operations, management, or security.

Abstract: The activities of multiple virtual personal assistant (VPA) applications are coordinated. For example, different portions of a conversational natural language dialog involving a user and a computing device may be handled by different VPAs.

Abstract: A device, method and system for automatically inferring a mobile user's current context includes applying a user activity knowledge base to real-time inputs and stored user-specific information to determine a current situation. Automated reasoning is used to infer a user-specific context of the current situation. Automated candidate actions may be generated and performed in accordance with the current situation and user-specific context.

Abstract: Network management technology as disclosed herein generates and dynamically updates an intuitive, interactive visualization of a computer network in live operation. The network management technology interprets human user interactions, such as gestures, conversational natural language dialog, and combinations of gestures and natural language dialog, as network directives. The technology can implement the network directives to, for example, facilitate analysis of network activity or to respond to network security events.

Abstract: Network security management technology as disclosed herein generates and dynamically updates an intuitive, interactive visualization of a computer network in live operation. The network security management technology interprets human user interactions, such as gestures, as network directives. The network directives may be implemented by the network in response to security events.

Abstract: Methods and systems of using machine learning to create a trusted model that improves the operation of a computer system controller are provided herein. In some embodiments, a machine learning method includes training a model using input data, extracting the model, and determining whether the model satisfies the trust-related constraints. If the model does not satisfy the trust-related constraint, modifying at least one of: the model using one or more model repair algorithms, the input data using one or more data repair algorithms, or a reward function of the model using one or more reward repair algorithms, and re-training the model using at least one of the modified model, the modified input data, or the modified reward function. If the model satisfies the trust-related constraints, providing the model as a trusted model that enables a computer system controller to perform system actions within predetermined guarantees.

Abstract: The present invention relates to an adaptable input/output device. One embodiment of a hardware device for facilitating an interaction between a computing system and a user includes: an interaction surface for supporting the interaction, a single actuator capable of driving a first region of the interaction surface, and a first selective clamping mechanism capable of restricting movement of one or more second regions of the interaction surface that partly intersect the first region, wherein a displacement of one or more desired portions of the interaction surface is dynamically controllable.

Abstract: A device, method and system for automatically inferring a mobile user's current context includes applying a user activity knowledge base to real-time inputs and stored user-specific information to determine a current situation. Automated reasoning is used to infer a user-specific context of the current situation. Automated candidate actions may be generated and performed in accordance with the current situation and user-specific context.

Abstract: Network management technology as disclosed herein performs an impact analysis of actual or hypothetical network commands, and presents the impact analysis results to facilitate the user's understanding of the predicted consequences of the actual or hypothetical commands on network operations, management, or security.

Abstract: Network management technology as disclosed herein generates and dynamically updates an intuitive, interactive visualization of a computer network in live operation. The network management technology interprets human user interactions, such as gestures, conversational natural language dialog, and combinations of gestures and natural language dialog, as network directives. The technology can implement the network directives to, for example, facilitate analysis of network activity or to respond to network security events.

Abstract: Network management technology as disclosed herein conducts conversational natural language dialog with a user to facilitate the user's analysis of network activity and the implementation of network security measures and other actions in furtherance of network operations, management, or security.

Abstract: Network security management technology as disclosed herein generates and dynamically updates an intuitive, interactive visualization of a computer network in live operation. The network security management technology interprets human user interactions, such as gestures, as network directives, and updates the interactive visualization in response to the network directives.