Abstract: A device may receive event data identifying events associated with user devices utilizing a video conferencing system, and may utilize the event data to train one or more fraud detection models. The device may receive, from a user device, user traffic including at least one of API traffic or media traffic, and may identify characteristics of the user traffic, such as activity related features, application-specific features, and dial-in number-specific features. The device may process at least one of the activity related features, the application-specific features, or the dial-in number-specific features, with the one or more fraud detection models, to determine whether the user traffic from the user device is anomalous or normal, and may block at least one of an IP address of the user device, a telephone number of the user device, or a meeting of the user device, based on determining that the user traffic is anomalous.

Abstract: The subject disclosure relates to technologies for vehicle interactions with emergency vehicles. A process of the disclosed technologies can include steps for receiving a command from an emergency vehicle identifying an autonomous vehicle and initiating actions to cause the autonomous vehicle identified by the emergency vehicle to obey the command.

Abstract: The subject disclosure relates to technologies for vehicle interactions with emergency vehicles. A process of the disclosed technologies can include steps for receiving a command from an emergency vehicle identifying an autonomous vehicle and initiating actions to cause the autonomous vehicle identified by the emergency vehicle to obey the command.

Abstract: Systems and methods for rate limiting API service requests at an API service platform. An example method includes receiving a plurality of client service requests, determining when a safe operating threshold has been exceeded by the received requests to create a system overage or debt. In the case where it is determined that the safe operating threshold has been exceeded, determining the degree to which the safe operating limit has been exceeded, and rate limiting one or more clients transmitting service requests, identified as having the highest service request rates to eliminate the overage or debt.

Abstract: A method, non-transitory computer readable medium, and system for receiving sensor data from one or more sensors disposed on an autonomous vehicle, determining whether a potentially dangerous event is detected in the environment around the autonomous vehicle, and providing automatically at least a portion of the sensor data to a user associated with the autonomous vehicle. The sensor data may comprise measurements associated with an environment around the autonomous vehicle. The determination of the potentially dangerous event may be based on the sensor data. The portion of the sensor data may be provided automatically in response to determining that the potentially dangerous event is detected.

Abstract: A method, non-transitory computer readable medium, and system for receiving sensor data from one or more sensors disposed on an autonomous vehicle, determining whether a potentially dangerous event is detected in the environment around the autonomous vehicle, and providing automatically at least a portion of the sensor data to a user associated with the autonomous vehicle. The sensor data may comprise measurements associated with an environment around the autonomous vehicle. The determination of the potentially dangerous event may be based on the sensor data. The portion of the sensor data may be provided automatically in response to determining that the potentially dangerous event is detected.