Abstract: A method includes establishing digital communication between a first user device and a second user device using a first codec. The method also includes selecting, based on an input signal representing an estimated unfiltered available bandwidth for the digital communication satisfying a first filter selection threshold, a first filter of two or more filters, and filtering the input signal using the first filter. The method further includes determining that the filtered input signal satisfies a first channel bandwidth threshold and, in response to determining that the filtered input signal satisfies the channel bandwidth threshold, selecting a second codec different from the first codec for further digital communication between the first user device and the second user device.

Abstract: An electrical computer system processing architecture for providing an indication of activity in the electrical computer system, the electrical computer system processing architecture comprising a plurality of client computers connected to at least one server by a computer network. Each of the client computers is configured to provide requests to the at least one server. The or each server comprises a store for storing requests provided by the plurality of client computers. The or each server is configured to match complementary requests from the plurality of client computers stored in the store. Following the matching of complementary requests, the or each server counts unmatched requests corresponding to one or other of the complementary requests in the store, and outputs the counted number of unmatched requests to provide the indication of activity in the computer system.

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: Systems and methods of the disclosure include: publishing, by a first host computer system of a computing cluster comprising a plurality of host computer systems running a plurality of virtual machines, a list of memory page identifiers, wherein each memory page identifier is associated with a corresponding content identifier; receiving, from a second host computer system of the computing cluster, a memory page request comprising a first memory page identifier; and sending, to the first host computer system, a first memory page identified by the first memory page identifier.

Abstract: Systems and methods configured to execute branching automation schemes in a collaboration environment are disclosed. Exemplary implementations may: manage environment state information maintaining a collaboration environment; manage automation records of the collaboration environment, the automation records defining trigger events, branching criteria, and sets of automated actions to carry out in the collaboration environment in response to occurrence of the trigger events and satisfaction of individual ones of the branching criteria; responsive to the detection of the occurrence of individual trigger events and the satisfaction of the individual ones of the branching criteria, effectuate individual ones of the sets of automated actions within the collaboration environment, and/or perform other operations.

Abstract: System and computer-implemented method for autoscaling clusters of host computers in a cloud-based computing environment uses an aggressive scale-in resource utilization threshold that is greater than a corresponding standard scale-in resource utilization threshold to search for any target clusters of host computers in response to a scale-out recommendation for a cluster of host computers to select a candidate cluster of host computers when the number of available reserved resource instance for the cloud-based computing environment is below a predefined value. A scale-in operation is executed on the candidate cluster of host computers to remove an existing resource instance from the candidate cluster of host computers. A scale-out operation is executed on the cluster of host computers using an available resource instance for the cloud-based computing environment.

Abstract: Techniques for a Predictive Connection Manager Service (PCMS) to predict when client applications will send service requests to backend services, and proactively establishes connections, caches data, or takes other actions, to reduce latencies between receipt of and response to these service requests. The PCMS analyzes historical usage data for the client applications to identify usage patterns, and uses those usage patterns to proactively scale resources to handle service requests. The PCMS can be implemented as a pass-through proxy for client applications to reduce frictions for managing how users interact with backend services. For instance, the PCMS can install client-side drivers such that updates or patches for the drivers need only be installed on the PCMS rather than on each client device.

Abstract: Methods, systems, and storage media are described for Internet of Things (IoT) hubs and IoT cradles in mesh networks and/or fog computing systems while providing interoperability among IoT devices provided by various manufacturers, vendors, and service providers. IoT devices may be connected or attached to IoT cradles, and the IoT cradles may communicate data among themselves over a cradle network. The IoT cradles may also communicate IoT data with the IoT hub over a hub network. The IoT hub may communicate the IoT data with clients and/or servers over a wide area network using wired or wireless communication protocols. Clients may access resources and/or services provided by the IoT devices by accessing the IoT hub via a dedicated application. Other embodiments may be described and/or claimed.

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.