Abstract: Multi-factor authentication techniques are used to verify an identity of an audio-only caller requesting to join a video-enabled virtual meeting. A request for an audio-only caller to join a video-enabled virtual meeting is received from a phone device of the audio-only caller, in which the audio-only caller is using the phone device to call into the video-enabled virtual meeting. An authentication request is transmitted to the phone device to verify an identity of the audio-only caller. A response to the authentication request is received from the phone device and includes an authentication code generated based on the request for the audio-only caller to join the video-enabled virtual meeting. The identity of the audio-only caller is then verified using the authentication code and information associated with the phone device, and the request for the audio-only caller to join the video-enabled virtual meeting is allowed or denied based on the verification.

Abstract: A compute server receives a request from a client device that triggers execution of a third-party code piece. The compute server is one of multiple compute servers that are part of a distributed cloud computing network. The third-party code piece is executed at the compute server and causes a value to be read from a distributed key-value store and/or written to the distributed key-value store. A response is generated to the request based at least in part on the executed third-party code piece, and the generated response is transmitted to the client device.

Abstract: Methods, computer-readable media, software, and apparatuses may assist a consumer m unsubscribing from unwanted mailing list traffic and email based relationships. A consumer's discovered accounts and subscriptions may be listed and displayed to the consumer. For each identified account or subscription, an unsubscribe and deletion action may be determined and automated for the consumer.

Abstract: An example system includes a processor to train an artificial intelligence (AI) model on a training set of images on a client device associated with a particular user. Images in the training set of images are selected using face recognition from a digital camera roll on the client device based on a set of faces chosen by the particular user of the client device. All of images in the training set of images include a detected face from the set of chosen faces. The processor is to filter a group message received from a second device based on the trained AI model.

Abstract: Decoy data is generated from regular data. A deep neural network, which has been trained with the regular data, is trained with the decoy data. The trained deep neural network, responsive to a client request comprising input data, is operated on the input data. Post-processing is performed using at least an output of the operated trained deep neural network to determine whether the input data is regular data or decoy data. One or more actions are performed based on a result of the performed post-processing.

Abstract: Methods and apparatus for device driver operation in non-kernel space. In one embodiment, an apparatus configured to configured to interface to a component device driver within non-kernel space is disclosed. The exemplary embodiment restricts device drivers to fewer privileges than kernel processes, while still providing acceptable real-time performance. In another embodiment, mechanisms for non-kernel space device driver operation are described. In one exemplary embodiment, a shared memory interface between kernel space and device drivers enables e.g., a zero-copy device driver architecture.

Abstract: A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

Abstract: In accordance with some implementations of the present disclosure, a cityscape generator is disclosed herein that may generate a three-dimensional cityscape including at least one neighborhood that represents the at least one stack of the cloud computing system, the at least one neighborhood includes a cluster of nodes associated with a set of compute resources of the at least one stack. The cluster of nodes may be located within a subdivision of the at least one neighborhood and may include a plurality of worker nodes associated with compute resources that provide services and one or more administrative nodes associated with one or more compute resources that monitor and manage the compute resources associated with the worker nodes. The subdivision further includes a beacon to indicate overall health of the subdivision.

Abstract: A method, system, and/or apparatus for automatically monitoring for possible mental or physical health concerns. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically learns user activity patterns and detects significant deviations therefrom. The deviations are automatically analyzed for known correlations to mental or physical concerns, which can then be automatically communicated to a relevant friend, family member, and/or medical professional.

Abstract: A listing of each of the plurality of appliances is used, with reference to a command and/or protocol database, to configure a software agent to exchange communications, via a one or more communication channels, with each of the plurality of appliances. An action triggering state of at least one of the plurality of appliances is associated with an action. The action is performed when it is determined that a current state of the at least one of the plurality of appliances corresponds to the action triggering state.

Abstract: A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk that can be communicated as a warning to community members.

Abstract: A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

Abstract: Received information associated with interactions of a group are analyzed. Based on the analyzed received information, an engagement opportunity between at least two people from the group is determined.

Abstract: A user device receives a first media item that is associated with a second media item. The device determines that a playback state for the device indicates that the device is paired with an alternative playback device. The device sends the playback state in a request for the second media item, receives the second media item in a first format for playback on the user device and in a second format for playback on the alternative playback device. The device determines whether the playback state of the device is the same. The device displays a first graphical representation of the second media item in the first format on the user device if the user device is no longer paired with the alternative playback device and displays a second graphical representation of the second media item in the second format on the user device if the user device is still paired with the alternative playback device.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for providing a platform that facilitates communication between a messaging application and a web-based gaming application. The web-based gaming application is launched, via the platform, from the messaging application. Context of the messaging application from which the web-based gaming application was launched is determined. The context of the messaging application is communicated, via the platform, to the web-based gaming application. A feature of the messaging application is integrated, via the platform, into the web-based gaming application based on the context from which the web-based gaming application was launched.

Abstract: This disclosure provides systems, methods and apparatus for synchronous channel access control of a wireless system. In some aspects, a device may use a TWT session to communicate with a second device during one or more TWT service periods. Uplink and downlink communications may be coordinated to both be in a TWT service period to allow a device to enter a low power mode outside of the TWT service period. The TWT session, including the service periods, may be configured and managed by the device or the second device to ensure the communications associated with an XR experience between the devices (such as pose data frames or tracking frames provided as uplink data and video data frames provided as downlink data) meet latency requirements or other requirements for the XR experience. Use of TWT service periods allows other devices to use the wireless medium outside of the TWT service periods.

Abstract: A method for data processing is provided. The method may include: preprocessing initial data to obtain preprocessed data; storing the preprocessed data; receiving a data request made through an application, the data request including information relating to a storage path of contents that are requested; in response to the data request, determining, by a nearby proxy of a first proxy cluster in a first region, whether the contents requested in the data request are cached locally; and in response to a determination that the contents are cached locally, providing, by the nearby proxy, the contents to the application; or in response to a determination that the contents are not cached locally, acquiring, by the nearby proxy, the contents based on the information relating to the storage path of the contents; and providing, by the nearby proxy, the contents to the application.

Abstract: Disclosed in some examples, are methods, systems, devices, and machine-readable mediums that use one or more images (e.g., Quick-Response (QR) codes) displayed by a first application to both provide the location to obtain a second application and to copy a session from the first application to the second application once downloaded. In some examples, a session comprises an authentication session such that, when the session is copied, the user is logged into a network-based service within the second application with a same account as the user is already logged into with first application.

Abstract: Disclosed is a wearable electronic device including: at least one sensor, a communication circuit, a processor, and a memory. The memory may store instructions that, when executed, cause the processor to: obtain sensor context information including information associated with an exercise state of a user of the wearable electronic device, control the wearable electronic device to transmit the sensor context information to an external electronic device at a second interval, adjust an interval of transmission of the sensor context information to a first interval based on a change of the sensor context information, and transmit the sensor context information to the external electronic device at the first interval using the communication circuit.

Abstract: A method enables testing and evaluation of an expert human reviewer or an artificial intelligence (AI) error detection engine associated with a radiotherapy treatment planning process. Intentional errors are introduced into the output of a software module or AI engine that performs a certain step in the radiotherapy treatment planning process. The efficacy of the human or AI reviewer in detecting errors can then be evaluated or tested by determining whether the human or AI reviewer has detected the introduced error.