A computer system receives user data from a computing device of a user and determines that the user will utilize a transport service to arrive at a destination location at a specified time. The computer system automatically triggers, without user input, a service request for the user by monitoring transport provider availability within a proximity of a current location of the user prior to the specified time, and determines a service request time for the user based on the transport provider availability. The computer system then generates the service request for the scheduled user event based on the service request time.

A computer system receives user data from a computing device of a user and determines that the user will utilize a transport service to arrive at a destination location at a specified time. The computer system automatically triggers, without user input, a service request for the user by monitoring transport provider availability within a proximity of a current location of the user prior to the specified time, and determines a service request time for the user based on the transport provider availability. The computer system then generates the service request for the scheduled user event based on the service request time.

Various embodiments provide systems and/or methods for automated maintenance, delivery, retrieval, and/or communications using drones.

Various embodiments provide systems and/or methods for automated maintenance, delivery, retrieval, and/or communications using drones.

The disclosure provides an approach for distribution of functions among data centers of a cloud system that provides function-as-a-service (FaaS). For example, the disclosure provides one or more function distributors configured to receive a request for loading or executing a function, automatically determine an appropriate data center to load or execute the function, and automatically load or execute the function on the determined data center. In certain embodiments, the function distributors are further configured to determine an appropriate data center to provide storage resources for the function and configure the function to utilize the storage resources of the determined data center.

Described embodiments provide for routing remote application data. A device can receive a request to access an application. The application can be provided by data centers and accessible via service providers. The device can select a data center from the plurality of data centers and a service provider based at least on a metric indicative of a connection between the data center and the service provider. The device can query a database including one or more connection metrics using the application identified in the request and a location of a router transmitting the request. The device can determine the location of the router based on an internet protocol (IP) address of a client communicably coupled to the router. The device can transmit a response to the request identifying the selected data center and the selected service provider.

In one embodiment, a method includes storing, by a tracking server, a hash value for each of one or more tracking devices associated with the tracking server. The method includes receiving, at the tracking server from a user device, a hash value associated with a tracking device, the hash value computed based on a static value uniquely associated with the tracking device and a dynamic value maintained by the tracking device. The method includes identifying, by the tracking server, the tracking device based on a comparison between one of the stored hash values and the received hash value. The method includes updating, by the tracking server, one or more records associated with the identified tracking device based on the receiving the hash value.

In one embodiment, a method includes storing, by a tracking server, a hash value for each of one or more tracking devices associated with the tracking server. The method includes receiving, at the tracking server from a user device, a hash value associated with a tracking device, the hash value computed based on a static value uniquely associated with the tracking device and a dynamic value maintained by the tracking device. The method includes identifying, by the tracking server, the tracking device based on a comparison between one of the stored hash values and the received hash value. The method includes updating, by the tracking server, one or more records associated with the identified tracking device based on the receiving the hash value.

A method for improving communications in a digital collaboration environment by receiving a communication directed to a first user, determining that the first user is unavailable, in response to determining that the first user is unavailable, determining a second user based on an attribute, and notifying the second user about the communication directed to the first user.

In one aspect, an example method to be performed by a vehicle-based media system includes (a) receiving audio content; (b) causing one or more speakers to output the received audio content; (c) using a microphone of the vehicle-based media system to capture the output audio content; (d) identifying reference audio content that has at least a threshold extent of similarity with the captured audio content; (e) identifying visual content based at least on the identified reference audio content; and (f) outputting, via a user interface of the vehicle-based media system, the identified visual content.