Abstract: Techniques for improving data security and access control at the distributed execution level of distributed computing systems are provided. The techniques can include receiving a data access request from a data processing application to access data, directing the data access request to a security data application, modifying the data access request, executing the modified data access request to obtain data that is responsive to the modified data access request, and providing the obtained data to the data processing application.

Abstract: Performing branch predictor training using probabilistic counter updates in a processor is disclosed herein. In some aspects, a branch predictor training circuit of a processor is configured to determine whether a first branch prediction generated for a first conditional branch instruction by a branch predictor circuit of the processor is correct. Based on determining whether the first branch prediction is correct, the branch predictor training circuit probabilistically updates a first counter, corresponding to the first branch prediction, of a plurality of counters of a first branch predictor table of a plurality of branch predictor tables.

Abstract: Methods, systems, apparatuses, and computer-readable storage mediums described herein are configured to transfer call context between different call center systems. For example, a first call center system that establishes a communication session between a user and an agent of the first system provides context determined during the session to a call context service. The service stores the context and provides it to other requesting call center systems. For instance, during a call transfer to an agent of a second system, the first system requests the service to provide a transfer number of the second system to which the user is to be transferred. The service determines the transfer number and provides it to the first system. The first system performs the call transfer using the number. After the transfer is complete, the second system provides a request for the context, and the service provides the context to the second system.

Abstract: To provide a hierarchical visual paradigm while maintaining the communication advantages of sibling extensions, a visual hierarchy simulation extension generates and maintains placeholders in a visually hierarchical manner, with the visual positioning of such placeholders informing the visual positioning of overlays of frames hosting the visual output of sibling extensions. Such a visual hierarchy simulation extension is utilized to layout and establish a desired visual hierarchy. One or more modules of computer-executable instructions are invoked to provide the relevant functionality, including the obtaining of the visual positioning of placeholders, the relevant visual translation between the visual positioning of placeholders and the visual overlaying of corresponding frames, the generation and movement of the corresponding frames, and the instantiation of extension content within the corresponding frames. The visual hierarchy simulation extension is hosted independently from the one or more modules.

Abstract: A system and method for identifying relevant content from other documents and presenting candidate documents/content in a document authoring application is described. A computer-implemented method includes performing an analysis of text of a document being authored by a user with a document authoring application, searching a document library for content elements and documents based on the analysis of the text, identifying candidate documents and candidate content based on the searching, presenting a list of candidate documents or candidate content with the document authoring application, receiving a selection of a candidate document or candidate content from the list in the document authoring application, and including an instance of the selected candidate document or candidate content in the document.

Abstract: Generally discussed herein are devices, systems, and methods for custom wake word selection assistance. A method can include receiving, at a device, data indicating a custom wake word provided by a user, determining one or more characteristics of the custom wake word, determining that use of the custom wake word will cause more than a threshold rate of false detections based on the characteristics, rejecting the custom wake word as the wake word for accessing a personal assistant in response to determining that use of the custom wake word will cause more than a threshold rate of false detections, and setting the custom wake word as the wake word in response to determining that use of the custom wake word will not cause more than the threshold rate of false detections.

Abstract: The disclosed architecture leverages realtime continuous event processing (CEP) to address using a general input interface framework to import a dynamic set of event types (e.g., assets), and using a declarative, expressive query model to implement monitoring and management tasks on an asset level. This is in contrast to looking separately at single values from static databases and/or realtime streams as is common conventionally. The architecture uses the CEP data model to model assets as realtime event types. Thus, queries can be formulated per asset and not just per single stream. The architecture uses the query capabilities of CEP to formulate asset management and monitoring tasks as standing, declarative queries, and uses the input interface of a CEP platform to correlate data from different data sources with different dynamic properties.

Abstract: This document relates to a process for autopilot re-enrollment of managed devices in a network following a reset of the managed devices. Upon determining that the managed devices lack a hardware authenticator, a one-time password can be issued to the managed devices that may be stored in a persistent memory, and upon reset of the managed devices, the one-time password can be returned for validation and the managed devices can be automatically re-enrolled in the network upon validation of the one-time password.

Abstract: Systems and methods for providing summarization, indexing, and post-processing of a recorded document presentation are provided. The system accesses a structured document and recordings associated with a recorded presentation given using the structured document. The system analyzes, using machine-trained models, the structured document, audio and video recordings, and recording of operations performed during the presentation. The analyzing comprises generating a transcript of the audio recording, determining context of components of the structured document, and deriving context from the video recordings and recording of operations. Based on the analyzing, the system segments the recorded presentation into a plurality of segments and generates an index of the plurality of segments that is used for post-processing.

Abstract: The present disclosure relates to systems and methods for transmitting Standard Dynamic Range (SDR) content. The systems and methods may use a modified Electro-Optical Transfer Function (EOTF) curve to convert nonlinear color values of SDR content into optical output values of modified SDR content. The systems and methods may encode the modified SDR content using eight bits while preventing banding. The systems and methods may transmit the encoded data to a client device for presentation on a display.

Abstract: The performance of a neural network (NN) and/or deep neural network (DNN) can limited by the number of operations being performed as well as management of data among the various memory components of the NN/DNN. A sparsity-inducing regularization optimization process is performed on a machine learning model to generate a compressed machine learning model. A machine learning model is trained using a first set of training data. A sparsity-inducing regularization optimization process is executed on the machine learning model. Based on the sparsity-inducing regularization optimization process, a compressed machine learning model is received. The compressed machine learning model is executed to generate one or more outputs.

Abstract: A computer implemented method for controlling a system moving through an environment includes receiving a stream of event data from an event camera, the stream of event data representing a pixel location, a time stamp, and a polarity for each event detected by the event camera. A compressed representation of the stream of data is generated. The compressed representation is provided to a neural network model trained on prior compressed representations using reinforcement learning to learn actions for controlling the system. A control action is generated via the neural network model to control the movement of the system.

Abstract: A technique provides a solution for establishing a socket connection in a user space. After receiving a request for establishing a socket connection from a first application, the monitor sends the connection request to a second application, wherein the first application and the second application run on the same computing device. Then, the monitor coordinates establishing, in user space of the operating system, a peer-to-peer socket connection between the first application and the second application. By establishing a socket connection in the user space of the operating system, embodiments of the present disclosure can achieve a user space socket connection between different applications within a single computing device, thereby improving the performance of the operating system. In addition, embodiments of the present disclosure use the monitor (or controller) to coordinate inter-application connection establishment and resource allocation, thereby ensuring security of the operating system.

Abstract: An audio processing plug-in shim operates in conjunction with a plug-in host application executing on a computing device. The plug-in shim receives a stream of digital audio from the plug-in host application and transmits the digital audio to a network service executing in a network accessible remote distributed computing environment. The network service receives the digital audio and routes the digital audio to one or more audio processing plug-ins, also executing in the distributed computing environment. The audio plug-ins process the digital audio, such as by applying digital signal processing techniques to the digital audio, and return processed audio to the network service. The network service returns the processed audio to the plug-in shim executing on the remote computing device. The plug-in shim, in turn, receives the processed audio from the network service and provides the processed audio to the plug-in host application.

Abstract: Systems and methods for allocating memory and redirecting data writes based on temperature of memory modules in a cloud computing system are described. A method includes maintaining temperature profiles for a first plurality of memory modules and a second plurality of memory modules. The method includes automatically redirecting a first request to write to memory from a first compute entity being executed by the first processor to a selected one of a first plurality of memory chips, whose temperature does not meet or exceed the temperature threshold, included in at least the first plurality of memory modules and automatically redirecting a second request to write to memory from a second compute entity being executed by the second processor to a selected one of the second plurality of memory chips, whose temperature does not meet or exceed the temperature threshold, included in at least the second plurality of memory modules.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for initiating and managing electronic focus sessions are provided. A focus session window may be displayed. The focus session window may comprise a timer pane comprising a focus session duration input element; a task pane comprising an identity of at least one task object created by a task management application; a music pane comprising an identity of at least one music playlist; and/or a daily progress pane that includes a goal display element indicating a duration of time spent in focus sessions for a current day. An indication to initiate a focus session may be received. The initiating may comprise causing a timer for the duration of time to be initiated and displayed in the timer pane and causing one of the music playlists to be automatically played.

Abstract: A user is enabled to generate and store a reference, such as a bookmark, to an original URI specified by the user, after the web browser has been redirected to a redirect URI. For example, the web browser may track each of the URIs to which the web browser has redirected after the user provides a URI to the web browser for navigation thereby. The web browser may analyze each of the URIs to determine which of the URIs is the original URI. When a user causes the web browser to generate the bookmark for the web page corresponding to the redirect URI, the determined original URI and/or redirect URI may be associated with the bookmark. The user may be provided an option to select one or both of the determined original URI and the redirect URI to be associated with the bookmark.

Abstract: Quantization-aware neural architecture search (“QNAS”) can be utilized to learn optimal hyperparameters for configuring an artificial neural network (“ANN”) that quantizes activation values and/or weights. The hyperparameters can include model topology parameters, quantization parameters, and hardware architecture parameters. Model topology parameters specify the structure and connectivity of an ANN. Quantization parameters can define a quantization configuration for an ANN such as, for example, a bit width for a mantissa for storing activation values or weights generated by the layers of an ANN. The activation values and weights can be represented using a quantized-precision floating-point format, such as a block floating-point format (“BFP”) having a mantissa that has fewer bits than a mantissa in a normal-precision floating-point representation and a shared exponent.

Abstract: A computer-implemented method of responding to a conversational event is presented. The method comprises receiving a conversational event at a conversational computing interface. Based on the received conversational event, an applicable generation rule of a plurality of candidate generation rules is selected. The applicable generation rule is configured with one or more parameters. A computer-executable plan is then selected based on the selected generation rule. The one or more parameters are passed from the selected generation rule to one or more additional generation rules. The one or more additional generation rules configured with the one or more parameters are recursively applied to extend the selected computer-executable plan. One or more candidate responses to the conversational event are output via the conversational computing interface based on the recursive application of the one or more additional generation rules configured with the one or more parameters.

Abstract: An AI engine is disclosed that is configured to work with a graphical user interface (“GUI”) including, in some embodiments, one or more AI-engine modules and a visual debugging module of the GUI. A learner AI-engine module is configured to train one or more AI models on one or more concepts of a mental model defined in a pedagogical programming language. An instructor AI-engine module is configured to coordinate with one or more simulators for respectively training the one or more AI models on the mental model. The visual debugging module is configured to provide a visualization window for each AI model while the one or more AI models are at least training with the learner module respectively in the one or more simulators. A viewer can glean insight and explainability into the training of the AI models while the simulations are running and arriving at various states.