Abstract: Dynamic timers are determined using machine learning. The timers are used to control the amount of time that new data transaction requests wait before being processed by a data transaction processing system. The timers are adjusted based on changing conditions within the data transaction processing system. The dynamic timers may be determined using machine learning inference based on feature values calculated as a result of the changing conditions.

Abstract: Dynamic timers are determined using machine learning. The timers are used to control the amount of time that new data transaction requests wait before being processed by a data transaction processing system. The timers are adjusted based on changing conditions within the data transaction processing system. The dynamic timers may be determined using machine learning inference based on feature values calculated as a result of the changing conditions.

Abstract: Dynamic timers are determined using machine learning. The timers are used to control the amount of time that new data transaction requests wait before being processed by a data transaction processing system. The timers are adjusted based on changing conditions within the data transaction processing system. The dynamic timers may be determined using machine learning inference based on feature values calculated as a result of the changing conditions.

Abstract: Dynamic timers are determined using machine learning. The timers are used to control the amount of time that new data transaction requests wait before being processed by a data transaction processing system. The timers are adjusted based on changing conditions within the data transaction processing system. The dynamic timers may be determined using machine learning inference based on feature values calculated as a result of the changing conditions.

Abstract: Systems, methods, and devices for outputting indications regarding voice-based interactions are described. A first speech-controlled device detects spoken audio corresponding to recipient information. The first device captures the audio and sends audio data corresponding to the captured audio to a server. The server determines a second speech-controlled device of the recipient and sends a signal to the recipient's second speech-controlled device representing a message is forthcoming. The recipient's second speech-controlled device outputs and indication representing a message is forthcoming.

Abstract: Systems, methods, and devices for outputting indications regarding voice-based interactions are described. A first speech-controlled device detects spoken audio corresponding to recipient information. The first device captures the audio and sends audio data corresponding to the captured audio to a server. The server determines a second speech-controlled device of the recipient and sends a signal to the recipient's second speech-controlled device representing a message is forthcoming. The recipient's second speech-controlled device outputs and indication representing a message is forthcoming.

Abstract: Disclosed are various embodiments for selecting page layouts based upon an outcome prediction associated with a request for a content page. Session variables associated with a request can be extracted. A score can be calculated based upon the session variables. The score can be generated by a machine learning engine that is trained using archived session data. A page layout can be selected based upon the generated score and a respective content page generated.

Abstract: Systems, methods, and devices for outputting indications regarding voice-based interactions are described. A first speech-controlled device detects spoken audio corresponding to recipient information. The first device captures the audio and sends audio data corresponding to the captured audio to a server. The server determines a second speech-controlled device of the recipient and sends a signal to the recipient's second speech-controlled device representing a message is forthcoming. The recipient's second speech-controlled device outputs and indication representing a message is forthcoming.

Abstract: Described herein are systems and techniques for an event handling system capable of distinguishing between application or user-specific events and system-wide events. The described system may be further capable of suppressing event notifications associated with application or user specific events and escalating system-wide events. In some embodiments, the system may identify an origination source for a number of event trigger. The system may determine whether a number of trigger events associated with any particular origination source are over a threshold number of trigger events. Upon determining that the event is an application or user specific event, then the system may suppress a potential escalation of the event.

Abstract: Systems, methods, and devices for outputting indications regarding voice-based interactions are described. A first speech-controlled device detects spoken audio corresponding to recipient information. The first device captures the audio and sends audio data corresponding to the captured audio to a server. The server determines a second speech-controlled device of the recipient and sends a signal to the recipient's second speech-controlled device representing a message is forthcoming. The recipient's second speech-controlled device outputs and indication representing a message is forthcoming.

Abstract: Systems, methods, and devices for outputting visual indications regarding voice-based interactions are described. A first speech-controlled device detects spoken audio corresponding to a voice message to a second speech-controlled device. The first device captures the audio and sends audio data corresponding to the captured audio to a server. The server performs speech processing on the audio data to determine a recipient and message content. The server then determines a second speech-controlled device associated with the recipient and sends the message content to the recipient's second speech-controlled device. Thereafter, the server receives an indication from the recipient's speech-controlled device that the second device is detecting speech, presumably in response to the original message. The server then causes a visual indication to be output by the first speech-controlled device, with the visual indication representing the recipient-speech controlled device is detecting speech.

Abstract: Systems are provided for the streamlining authentication of encrypted data. In streaming authentication, the authentication and decryption of a data file is performed in a streaming manner. The data file can be stored as a collection of discrete encrypted portions. When the data file is to be accessed, it can be authenticated in a streaming manner, as discrete portions of the large file are loaded from storage or transmitted to other systems.

Abstract: Systems, methods, and devices for escalating voice-based interactions via speech-controlled devices are described. Speech-controlled devices capture audio, including wakeword portions and payload portions, for sending to a server to relay messages between speech-controlled devices. In response to determining the occurrence of an escalation event, such as repeated messages between the same two devices, the system may automatically change a mode of a speech-controlled device, such as no longer requiring a wakeword, no longer requiring an indication of a desired recipient, or automatically connecting two speech-controlled devices in a voice-chat mode. In response to determining the occurrence of further escalation events, the system may initiate a real-time call between the speech-controlled devices.

Abstract: Systems, methods, and devices for escalating voice-based interactions via speech-controlled devices are described. Speech-controlled devices capture audio, including wakeword portions and payload portions, for sending to a server to relay messages between speech-controlled devices. In response to determining the occurrence of an escalation event, such as repeated messages between the same two devices, the system may automatically change a mode of a speech-controlled device, such as no longer requiring a wakeword, no longer requiring an indication of a desired recipient, or automatically connecting two speech-controlled devices in a voice-chat mode. In response to determining the occurrence of further escalation events, the system may initiate a real-time call between the speech-controlled devices.

Abstract: Systems, methods, and devices for outputting visual indications regarding voice-based interactions are described. A first speech-controlled device detects spoken audio corresponding to a voice message to a second speech-controlled device. The first device captures the audio and sends audio data corresponding to the captured audio to a server. The server performs speech processing on the audio data to determine a recipient and message content. The server then determines a second speech-controlled device associated with the recipient and sends the message content to the recipient's second speech-controlled device. Thereafter, the server receives an indication from the recipient's speech-controlled device that the second device is detecting speech, presumably in response to the original message. The server then causes a visual indication to be output by the first speech-controlled device, with the visual indication representing the recipient-speech controlled device is detecting speech.