Techniques for automated incident triage and diagnosis are described. A method of automated incident triage and diagnosis may include receiving incident data associated with an incident, identifying one or more mitigation actions to resolve the incident using at least one machine learning model based at least on the incident data, and automatically executing the one or more mitigation actions to mitigate the incident.

Techniques for automated incident triage and diagnosis are described. A method of automated incident triage and diagnosis may include receiving incident data associated with an incident, identifying one or more mitigation actions to resolve the incident using at least one machine learning model based at least on the incident data, and automatically executing the one or more mitigation actions to mitigate the incident.

Architectures and techniques are presented that provide an improved mechanism for a subscriber entity to report to a network provider a network issue that affects the performance of an application that uses a service provided by the network provider. The improved mechanism can enable fine granularity with respect to the network issue by identifying the issue on a per-session basis. In response to feedback data that is reported by the subscriber entity, the network provider can perform self-healing or other upgrade techniques to rapidly remedy the network issue.

Various medical devices and related systems, including robotic and/or in vivo medical devices, and various robotic surgical devices for in vivo medical procedures. Included herein, for example, is a robotic surgical system having a support beam positionable through an incision, and a robotic device having a device body, first and second rotating shoulder components coupled to the device body, and first and second robotic arms coupled to the first and second shoulder components, respectively.

Various medical devices and related systems, including robotic and/or in vivo medical devices, and various robotic surgical devices for in vivo medical procedures. Included herein, for example, is a robotic surgical system having a support beam positionable through an incision, and a robotic device having a device body, first and second rotating shoulder components coupled to the device body, and first and second robotic arms coupled to the first and second shoulder components, respectively.

A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

A troubleshooting method based on network function virtualization is provided, where the troubleshooting method may include: obtaining, by a first function management entity, fault information of a function entity; triggering, by the first function management entity, fault correlation processing according to the fault information, and formulating a troubleshooting policy according to a result of the fault correlation processing; and if the troubleshooting policy is formulated when troubleshooting time arrives, processing, by the first function management entity, a fault according to the troubleshooting policy; or if the troubleshooting policy is not formulated, processing, by the first function management entity, a fault according to a preset troubleshooting policy, where the preset troubleshooting policy is a policy formulated for a fault generated due to a reason of the function entity, so as to ensure that a service is not interrupted in a troubleshooting process, so that user experience is improved.

An example method of detecting device malfunctions at a subject device includes: obtaining a device event indicator representing an event detected at a device sensor of the subject device; obtaining an external event indicator representing an external event detected by an environmental sensor, the external event occurring external to the subject device; and identifying a device malfunction at the subject device based on the device event indicator and the external event indicator.

An example method of detecting device malfunctions at a subject device includes: obtaining a device event indicator representing an event detected at a device sensor of the subject device; obtaining an external event indicator representing an external event detected by an environmental sensor, the external event occurring external to the subject device; and identifying a device malfunction at the subject device based on the device event indicator and the external event indicator.