Abstract: In some examples, a system launches a temporary probing agent in a computing environment within a security boundary, to cause the temporary probing agent to collect data in the computing environment within the security boundary, wherein the temporary probing agent is to terminate in response to a condition indicating completion of data collection by the temporary probing agent. The system provides, to an information consumer, data based on the collected data from the temporary probing agent.

Abstract: Examples pertain to a system and method for enabling users to participate on a network conferencing session. In some examples, a first user device, using a network interface, can establish an independent network connection with a remote computer system that hosts a network conferencing session. In addition, the first user device, using a local wireless connection, can communicate with at least a second user device that is independently connected to the remote computer system. During the conferencing session, the first user device, using the local wireless connection, can direct a first audio input received on the first user device to the second user device for forwarding to the remote computer system, while maintaining the independent network connection with the remote computer system.

Abstract: A method of protecting privacy in video may include classifying, via a trained multi-level neural network, a plurality of objects within frames of a video content. Training the multi-level neural network may include inputting a plurality of pixels of at least one frame, fitting the pixels into different layers, and assigning weights to individual components within the layers. The method may also include determining if the classified objects are private objects or non-private objects, tracking the detected objects between each frame of the video content within a threshold distance of movement, and masking the private objects.

Abstract: An example of a computer-readable medium storing machine-readable instructions. The instructions may cause a processor to identify sets of related interactions with application programming interfaces (APIs). The instructions may cause the processor to compare the sets of related interactions to determine compatibility of the APIs.

Abstract: Examples of methods for fault prediction model training with audio data are described herein. In some examples, service event data and audio data corresponding to client devices are received. In some examples, a portion of the audio data is selected based on the service event data. In some examples, a machine learning model is trained for fault prediction based on the portion of audio data.

Abstract: A method of protecting privacy in video may include classifying, via a trained multi-level neural network, a plurality of objects within frames of a video content. Training the multi-level neural network may include inputting a plurality of pixels of at least one frame, fitting the pixels into different layers, and assigning weights to individual components within the layers. The method may also include determining if the classified objects are private objects or non-private objects, tracking the detected objects between each frame of the video content within a threshold distance of movement, and masking the private objects.

Abstract: Examples pertain to a system and method for enabling users to participate on a network conferencing session. In some examples, a first user device, using a network interface, can establish an independent network connection with a remote computer system that hosts a network conferencing session. In addition, the first user device, using a local wireless connection, can communicate with at least a second user device that is independently connected to the remote computer system. During the conferencing session, the first user device, using the local wireless connection, can direct a first audio input received on the first user device to the second user device for forwarding to the remote computer system, while maintaining the independent network connection with the remote computer system.

Abstract: A method for printing device discovery includes, with a server system on a network, sending out a broadcast request to determine network addresses for printing devices on the network, interrogating the printing devices to determine characteristics of the printing devices, categorizing the printing devices based on the characteristics, and providing a list of classified printing devices to a client device on the network in response to a request from the client device.