Abstract: Various embodiments provide a so-called companion experience in which content consumed on a primary screen can serve as a source for an automatic search that returns related content that can be presented on an auxiliary screen. The companion experience can be considered to reside in a layer that can be moved across different screens. The different screens can include different physical screens, such as those associated with different computing devices, or the same physical screen in which the companion experience would be rendered in a frame or sub-window.

Abstract: A computer-implemented technique controls consumption of applications by a supervisee (e.g., a child). The technique detects when a supervisee attempts to interact with an application. In response, the technique receives context input signals that describe a current context affecting the supervisee. The technique then generates an output result based on the current context information and a set of rules expressed by rule logic. The technique then controls interaction by the supervisee with the application based on the output result. In one implementation, the technique automatically generates the rule logic, which may correspond to a set of discrete rules and/or a machine-trained model that implicitly expresses the rules. At least some of the rules specify amounts of time allocated to the supervisee for interaction with the plural applications in plural contexts. According to another illustrative aspect, the technique uses a machine-trained model to automatically classify a new application.

Abstract: Systems and methods directed to grouping and displaying query results from multiple data stores are described. More specifically, a plurality of data stores to search utilizing a received keyword may be determined, where each data store includes a different search index. A data store specific query for each data store is generated such that results from each data store are received based on the respective data store specific query, where results from each data store include a plurality of file identifiers identifying files located at the respective data store that are relevant to the keyword. In addition results from each data store are grouped into a plurality of groups based on metadata associated with each file identifier of the plurality of file identifiers. The plurality of groups are ranked based on a relevancy associated with each group and information associated with a ranked group is displayed at a user interface.

Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.

Abstract: Systems and methods are provided for automatically controlling a participant indication request based on a context of a meeting. The controlling of the participant indication request includes automatic lowering of a raised hand. A context determiner determines the context of the meeting based on meeting data including video, audio, background acoustic data, and chat messaging. The context determiner uses a global participant indication model for determining a context that is in commonly used among participants of the meeting. An individual participant indication model captures participant-specific rules of determining a context. A meeting state manager determines a meeting state based on the context. The meeting state includes a host presentation, a participant presentation, a conversation, and a polling. A participant indication controller automatically lowers the raised hand based on a combination of the determined context and the meeting state.

Abstract: Methods, systems, and computer storage media for providing detection of unsecure network policies in a network segment and automatically remediating the unsecure policies based on pre-defined network policies in a computing environment. In particular, a security maintenance manager of an access management system in the computing environment detects an unsecure network policy based on comparing an active configuration of the network segment to an expected configuration of the network segment and modifies the active configuration to at least restore restrictions of network policies of the expected configuration to the active configuration. In operation, the security maintenance manager periodically accesses an active configuration record for the network segment and compares the active configuration record to an expected configuration record for the network segment. Based on comparing the active configuration record to the expected configuration record, restrictions are remediated (e.g.

Abstract: In a multi-tenant computing system, a cross-tenant user search system receives a user search input from a user using a client of a first tenant. The cross-tenant user search system accesses a policy that identifies one or more related tenants that are related to the first tenant. The policy also identifies directory records of users in the related tenant that can be searched by users of the first tenant. The cross-tenant user search system executes a search against a directory for the first tenant and executes a separate search against the directory records in the related tenants, identified in the policy. The search results from searching the directory for the first tenant and the related search results from searching the directory records in the tenant are aggregated into an aggregated set of search results which are then returned to the client.

Abstract: A communication device assists location services by receiving a virtual boundary condition from the operating system. The virtual boundary condition is received by a wireless communication chipset (e.g., a Wi-Fi chipset) of the communication device. The Wi-Fi chipset measures one or more distances between the communication device and one or more wireless communication devices (e.g., Wi-Fi access points) using a wireless communication distance measuring protocol (e.g., Wi-Fi Fine timing measurement or FTM), determines that the virtual boundary condition has been satisfied by the one or more measured distances, and notifies the operating system that the virtual boundary condition has been satisfied by the one or more measured distances.

Abstract: Systems are provided for estimating 6DOF positioning of a computing device while in a pedestrian dead reckoning mode. The systems obtain a set of inertial tracking data from the set of one or more inertial tracking components while the system is in a pedestrian dead reckoning mode. Then, the systems obtain an estimated 3DOF velocity of the system based inertial tracking data, using a predictive model trained on a set of observed exteroceptive sensor data and observed inertial tracking data. The systems also obtain estimated 6DOF positioning of the systems based on the estimated 3DOF velocity.

Abstract: A term-weighting and document-scoring function is used to search for a command line interface (CLI) script that is likely relevant to an operation specified in a natural language query. CLI scripts are created to perform various operations of a CLI-based application. A CLI script is associated with a description document having keywords associated with the individual commands used in the CLI script. The relevance of a CLI script to an intended operation is based on the term-weighting and document-scoring function which is applied to each component of each command in a CLI script and weighted accordingly.

Abstract: Described herein is a conversation engine that can be used in a system such as a personal digital assistant or search engine that combines a dynamic knowledge graph built during execution of a request and one or more static knowledge graphs holding long term knowledge. The conversation engine comprises a state tracker that holds the dynamic knowledge graph representing the current state of the conversation, a policy engine that selects entities in the dynamic knowledge graph and executes actions provided by those entities to move the state of the conversation toward completion, and a knowledge graph search engine to search the static knowledge graph(s). The conversation is completed by building the dynamic knowledge graph over multiple rounds and chaining together operations that build toward completion of the conversation. Completion of the conversation results in completion of a request by a user.

Abstract: A network appliance is configured to receive a packet having an address of a custom device as a source address. Policies are accessed that are applicable to a virtual network associated with the custom device. The policies are applied to the packet. A hairpin layer redirects the packet to a destination address contained in the packet. For subsequent packets, application of the policies is bypassed to the subsequent packets. Application of the policies is offloaded to an acceleration device.

Abstract: Reuse of a thread-local return data structure to prevent a return data structure from being allocated every time asynchronous functions return. The system returns thread operation from the asynchronous function back to the caller function in a manner that the return data structure can be reused for future asynchronous function returns within that same thread. To do so, the system first accesses data that was generated by the asynchronous function in response to the caller function placing the function call to the asynchronous function. To determine if reuse is appropriate, the system determines that the caller function will use the return data structure as populated only once. If so, the system populates the reusable thread-local return data structure and returns that data structure to the caller.

Abstract: Improved convolutional neural network-based machine learning models are disclosed herein. A convolutional neural network is configured to decompose feature maps generated based on a data item to be classified. The feature maps are decomposed into a first and second subsets. The first subset is representative of high frequency components of the data item, and the second subset is representative of low frequency components of the data item. The second subset is upsampled and is combined with the first subset. The combined feature maps are convolved with a filter to extract a set of features associated with the data item. The first subset is also downsampled and combined with the second subset. The combined feature maps are convolved with a filter to extract another set of features. The data item is classified based on the sets of features extracted based on the convolution operations.

Abstract: Dump file content and other event data is pruned and prioritized to assist analysis of hangs, crashes, and other circumstances. An event data pruner condenses or excludes certain event data. A cluster creator creates clusters from pruned and vectorized event data, using a clustering algorithm and a similarity metric, without any prior specification of the desired number of clusters. A cluster ranker ranks clusters according to event data volume and thread importance, thus prioritizing the event data for inspection. A results presenter configures a user interface to present ranked clusters, their associated data, data reduction statistics, regression analysis results, and other data reduction processing results. Thus, the innovative functionality assists analysis and prioritized inspection of event data by an analyst, surfacing organized event data that is relevant to the circumstance under investigation, or supporting comparison of clusters from before and after a change in the circumstance, or doing both.

Abstract: Techniques for providing digital assistant devices with the capability to plan and execute complex macrotasks. In an aspect, a digital assistant device queries an online macrotask repository for task templates associated with a macrotask. The task templates may be designed and configured by Internet crowd-sourcing, with oversight from human editors. Based on a retrieved task template, a digital assistant device may automatically execute autonomous microtasks specified by the task template, and further elicit user input for executing certain microtasks requiring user oversight and/or confirmation. The online macrotask repository enables digital assistant devices to execute a broad range of complex macrotasks that would otherwise be difficult to execute in a satisfactory manner.

Abstract: Aspects of the technology described herein provide a personalized computing experience for a user based on a user-visit-characterized venue profile. In particular, user visits to a venue are determined. For those visits, user characteristics and/or visit characteristics are determined. User similarities and visit features similarities may be determined and associated with the venue to form the user-visit-characterized venue profile. The user-visit-characterized venue profile may be provided to an application or service such as a personal assistant service associated with the user, or may be provided as an API to facilitate consumption of the user-visit-characterized venue profile by an application or service.

Abstract: Techniques are described herein that are capable of registering a user device with a cloud-based management service using an intermediate cloud storage. For instance, the intermediate cloud storage may store an encrypted data blob including information that identifies the user device. The intermediate cloud storage or a registration system may decrypt the encrypted data blob so that the registration system may use the decrypted data blob to register the user device with the cloud-based management service. For instance, the registration system may retrieve the encrypted or decrypted data blob from the intermediate cloud storage by providing a requisite secret to the intermediate cloud storage. The requisite secret may be provided to the registration system by the user device (e.g., via a matrix barcode, such as a QR code).

Abstract: Techniques for selecting candidates using a personalized model are disclosed herein. In some embodiments, a computer system, for each candidate of a plurality of candidates, generating a corresponding confidence score for a combination of the candidate, a particular viewer, and a particular attribute based on a scoring model, with the corresponding confidence score being configured to indicate a likelihood that the particular viewer will select the corresponding candidate as a preference with respect to the particular attribute. The computer system then selects a subset of the plurality of candidates based on the corresponding confidence scores of the candidates in the subset, and causes the subset of candidates to be displayed on a computing device of the viewer along with a prompting for the viewer to select one of the selected subset of candidates as the preference with respect to the particular attribute.

Abstract: A system for reducing a search area for identifying correspondences identifies an overlap region within a first match frame captured by a match camera. The overlap region includes one or more points of the first match frame that are associated with one or more same portions of an environment as one or more corresponding points of a first reference frame captured by a reference camera. The system obtains a second reference frame captured by the reference camera and a second match frame captured by the match camera. The system identifies a reference camera transformation matrix, and/or a match camera transformation matrix. The system defines a search area within the second match frame based on the overlap region and the reference camera transformation matrix and/or the match camera transformation matrix.