Abstract: Techniques for artificial intelligence (AI) modules for computation tasks are described, and may be implemented to enable multiple AI modules to be aggregated to form an execution structure (e.g., an execution chain) for performing a computation task. Generally, the described techniques aggregate AI modules based on their respective functions to perform an overall computation task.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: A conferencing system terminal device includes an image capture device capturing images of a subject during a videoconference occurring across a network and a communication device transmitting the images to at least one remote electronic device engaged in the videoconference. The conferencing system terminal device includes one or more sensors determining that one or more portions of the subject are obscured in the images and one or more processors. The one or more processors apply obscured subject compensation content to the images at locations where the one or more portions of the subject are obscured, during the videoconference, and prior to the communication device transmitting the images to the at least one remote electronic device engaged in the videoconference.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: A user can customize (also referred to as train) an AI module, which includes any of a variety of machine learning systems. The AI module can be used by the device on which the AI module is trained or can be communicated to other devices in the same environment (e.g., the same home). The AI module can also be communicated in a secure and private manner to a device in another environment (e.g., another user's home). To do so, the AI module is encrypted and added to a blockchain, and the blockchain is communicated via a peer-to-peer network to the device in the other environment. The recipient of the blockchain can then decrypt the AI module and use the AI module in that other environment, including further training the AI module for use in that other environment.

Abstract: Techniques for artificial intelligence (AI) modules for computation tasks are described, and may be implemented to enable multiple AI modules to be aggregated to form an execution structure (e.g., an execution chain) for performing a computation task. Generally, the described techniques aggregate AI modules based on their respective functions to perform an overall computation task.

Abstract: A wearable device enables access to VPN endpoint devices for secure data communication and privacy for a computing device. The wearable device stores VPN configuration information for a user, which includes the user's VPN credentials for each of one or more remote VPN endpoint devices. When the wearable device is in close proximity to a computing device and is being worn by a user that is authenticated to at least one of the wearable device and the computing device, the wearable device communicates the configuration information to the computing device. The computing device can then use this VPN configuration information to establish a VPN connection to a VPN endpoint device.

Abstract: A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Abstract: In aspects of shareable devices, a shareable device implements a device sharing module that can maintain an interactive session of a user on the shareable device. The shareable device can detect that the user has moved away from the shareable device during the interactive session, and obscure personalized content associated with the user who has moved away from the shareable device. The device sharing module is implemented to detect, without user input, a user condition indicative of an intent to end or share the interactive session. The device sharing module can determine a status of an executing application associated with the interactive session of the user. The device sharing module can then end or share the interactive session based on the detected user condition and the determined status of the application.

Abstract: A wearable device enables access to VPN endpoint devices for secure data communication and privacy for a computing device. The wearable device stores VPN configuration information for a user, which includes the user's VPN credentials for each of one or more remote VPN endpoint devices. When the wearable device is in close proximity to a computing device and is being worn by a user that is authenticated to at least one of the wearable device and the computing device, the wearable device communicates the configuration information to the computing device. The computing device can then use this VPN configuration information to establish a VPN connection to a VPN endpoint device.

Abstract: In aspects of shareable devices, a shareable device implements a device sharing module that can maintain an interactive session of a user on the shareable device. The shareable device can detect that the user has moved away from the shareable device during the interactive session, and obscure personalized content associated with the user who has moved away from the shareable device. The device sharing module is implemented to detect, without user input, a user condition indicative of an intent to end or share the interactive session. The device sharing module can determine a status of an executing application associated with the interactive session of the user. The device sharing module can then end or share the interactive session based on the detected user condition and the determined status of the application.

Abstract: A method includes receiving a voice input via a microphone of an electronic device, and determining whether the voice input contains speech from an authorized user of the electronic device or speech from an unauthorized user. The method includes in response to determining that the voice input contains speech from the authorized user: determining whether the speech contains private speech or public speech; in response to determining that the speech contains private speech, processing the voice input through a local automatic speech recognition (ASR) engine within the electronic device, the local ASR engine converting the voice input from audio format to text format and outputting a text transcription of the private speech; and in response to determining that the speech does not contain private speech, forwarding the voice input through a communication interface associated with a network-connected external device for processing the voice input at the network-connected external device.

Abstract: Various embodiments receive, by a personal assistant embodied on a computing device, a verbal instruction. The personal assistant ascertains whether the verbal instruction is intact. Responsive to the verbal instruction not being received intact, noise in an ambient environment around the computing device is monitored and responsive to the noise in the ambient environment being below a noise threshold, clarification of the verbal instruction is requested.

Abstract: A method includes receiving a voice input via a microphone of an electronic device, and determining whether the voice input contains speech from an authorized user of the electronic device or speech from an unauthorized user. The method includes in response to determining that the voice input contains speech from the authorized user: determining whether the speech contains private speech or public speech; in response to determining that the speech contains private speech, processing the voice input through a local automatic speech recognition (ASR) engine within the electronic device, the local ASR engine converting the voice input from audio format to text format and outputting a text transcription of the private speech; and in response to determining that the speech does not contain private speech, forwarding the voice input through a communication interface associated with a network-connected external device for processing the voice input at the network-connected external device.

Abstract: A wearable device enables access to VPN endpoint devices for secure data communication and privacy for a computing device. The wearable device stores VPN configuration information for a user, which includes the user's VPN credentials for each of one or more remote VPN endpoint devices. When the wearable device is in close proximity to a computing device and is being worn by a user that is authenticated to at least one of the wearable device and the computing device, the wearable device communicates the configuration information to the computing device. The computing device can then use this VPN configuration information to establish a VPN connection to a VPN endpoint device.

Abstract: In implementations of photography environment control, an environment controller is a device that maintains a photography environment map of an environment in which images are captured as photographs. The photography environment map includes locations of fixed light sources that are usable to illuminate a subject for image capture in a region of the environment. The environment controller implements an imaging recommendation module that can determine optimal lighting for the image capture of the subject in the region of the environment. The environment controller can then control the fixed light sources used to adjust ambient lighting conditions of the region in the environment for the optimal lighting and the image capture of the subject. The environment controller can also initiate communication of imaging recommendations to a camera device in the environment for the image capture of the subject.

Abstract: In implementations of photography lighting control, a camera device includes a camera to capture an image of a subject in an environment. The camera device implements an image exposure module that can determine ambient lighting conditions of the environment, and discover fixed light sources that are usable to illuminate the subject for image capture in the environment. The image exposure module can determine optimal lighting for the image capture of the subject in the environment, as well as control one or more of the fixed light sources used to adjust the ambient lighting conditions of the environment for the optimal lighting and the image capture of the subject. The image exposure module can then initiate use of the controlled fixed light sources to capture the image of the subject.

Abstract: In implementations of photography environment control, an environment controller is a device that maintains a photography environment map of an environment in which images are captured as photographs. The photography environment map includes locations of fixed light sources that are usable to illuminate a subject for image capture in a region of the environment. The environment controller implements an imaging recommendation module that can determine optimal lighting for the image capture of the subject in the region of the environment. The environment controller can then control the fixed light sources used to adjust ambient lighting conditions of the region in the environment for the optimal lighting and the image capture of the subject. The environment controller can also initiate communication of imaging recommendations to a camera device in the environment for the image capture of the subject.

Abstract: In implementations of photography lighting control, a camera device includes a camera to capture an image of a subject in an environment. The camera device implements an image exposure module that can determine ambient lighting conditions of the environment, and discover fixed light sources that are usable to illuminate the subject for image capture in the environment. The image exposure module can determine optimal lighting for the image capture of the subject in the environment, as well as control one or more of the fixed light sources used to adjust the ambient lighting conditions of the environment for the optimal lighting and the image capture of the subject. The image exposure module can then initiate use of the controlled fixed light sources to capture the image of the subject.