Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.

Abstract: Embodiments relate to a system comprising a device for temperature recording; an integrated communication module; a memory; a processor coupled with the memory. The processor is configured to: receive data from the device, analyze the data through an analytics module; predict an anomaly in the data through the analytics module; generate an alert for ensuring quality of food and safety of the food; and predict a failure in the device.

Abstract: This disclosure relates to secondary transform of video blocks with adaptive kernel options. For example, a method for decoding a video block in an video stream is disclosed. The method may include comprising parsing and processing the video stream to generate: a set of secondary transform coefficients associated with the video block; an intra-prediction mode associated with the video block; and a kernel index indicating a secondary transform kernel among a group of secondary transform kernels. The method may further include identifying the group of secondary transform kernels based on the intra-prediction mode; and performing an inverse secondary transform of the set of secondary transform coefficients to generate primary transform coefficients of the video block based on the secondary transform kernel among the group of secondary transform kernels identified by the kernel index.

Abstract: Methods that may be performed by a host controller of a computing device for synchronizing logical-to-physical (L2P) tables before entering a hibernate mode are disclosed. Embodiment methods may include determining whether a first L2P table stored in a dynamic random-access memory (DRAM) communicatively connected to the host controller is out of synchronization with a second L2P table stored in a static random-access memory (SRAM) of a universal flash storage (UFS) device communicatively connected to the host controller via a link. If the first and second L2P tables are out of synch, the host controller may retrieve at least one modified L2P map entry from the second L2P table when the UFS device is configured to enter a hibernate mode from the UFS device, and update the first L2P tabled with the at least one modified L2P map entry before the link and the UFS device enter the hibernate mode.

Abstract: Aspects of the disclosure provide a method and an apparatus including processing circuitry for video decoding. The processing circuitry decodes coded information for a transform block (TB) from a coded video bitstream. The coded information indicates one of intra prediction mode information that indicates an intra prediction mode used for the TB, a size of the TB, and a primary transform type used for the TB. The processing circuitry determines a context for entropy decoding a secondary transform index based on the one of the intra prediction mode information for the TB, the size of the TB, and the primary transform type used for the TB. The secondary transform index indicates a secondary transform in a set of secondary transforms that is to be performed on the TB. The processing circuitry entropy decodes the secondary transform index based on the context and performs the secondary transform.

Abstract: A method and apparatus for performing a frequency-dependent joint component secondary transform (FD-JCST). The method includes obtaining a plurality of transform coefficients in a transform coefficient block; determining whether at least one of the plurality of transform coefficients is a low-frequency coefficient; based on determining that the at least one of the plurality of transform coefficients is the low-frequency coefficient, determining whether the low-frequency coefficient is a non-zero value; and based on determining that the low-frequency coefficient is the non-zero value, performing a joint component secondary transform (JCST) on the low-frequency coefficient and signaling a related syntax to indicate that the JCST is performed.

Abstract: Tasks are selected for hibernation by recording user preferences for tasks having no penalty for hibernation and sleep; and assigning thresholds for battery power at which tasks are selected for a least one of hibernation and sleep. The assigning of the thresholds for battery power include considering current usage of hardware resources by a user and battery health per battery segment. A penalty score is determined for tasks based upon the user preferences for tasks having no penalty, and task performance including at least one of frequency of utilization, memory utilization, task dependency characteristics and task memory hierarchy. The penalty performance is a value including both the user preference and the task performance. Tasks can then be put into at least one of hibernation mode and sleep mode dictated by their penalty performance during the thresholds for battery power.

Abstract: In one embodiment, a method includes determining, by a router, a common prefix pool from a transport interface associated with a transport virtual private network (VPN). The method also includes identifying, by the router, a prefix associated with a service VPN and generating, by the router, an IPv6-to-IPv6 Network Address Translation (NAT66) prefix translation using the common prefix pool and the prefix. The NAT66 prefix translation includes a predetermined prefix length. The method further includes automatically installing, by the router, the NAT66 prefix translation into a translation table.

Abstract: Methods that may be performed by a host controller of a computing device for synchronizing logical-to-physical (L2P) tables before entering a hibernate mode are disclosed. Embodiment methods may include determining whether a first L2P table stored in a dynamic random-access memory (DRAM) communicatively connected to the host controller is out of synchronization with a second L2P table stored in a static random-access memory (SRAM) of a universal flash storage (UFS) device communicatively connected to the host controller via a link. If the first and second L2P tables are out of synch, the host controller may retrieve at least one modified L2P map entry from the second L2P table when the UFS device is configured to enter a hibernate mode from the UFS device, and update the first L2P tabled with the at least one modified L2P map entry before the link and the UFS device enter the hibernate mode.

Abstract: A logical array having a plurality of memory banks is constructed, wherein each of the plurality of memory banks is split into a plurality of slots. A plurality of elements corresponding to a plurality of data components are stored in the plurality of slots of each of the plurality of memory banks of the logical array. The location of a data component stored in the memory component is determined by locating elements stored in a particular slot of the plurality of slots; and performing a corrective search on the located elements in the particular slot to locate a particular element. The data component is accessed based on the location of the particular element.

Abstract: A device may receive real time audio data associated with a call between an agent and a customer, and may receive customer data identifying historical interactions with the customer. The device may receive chat data associated with the customer or interactive voice response (IVR) data associated with the customer, and may generate, based on the real time audio data, transcript data identifying a real time transcript of the call with the customer. The device may process the real time audio data, the customer data, the chat data or the IVR data, and the transcript data, with a machine learning model, to determine a customer intent and one or more actions to perform based on the customer intent; and may perform the one or more actions.

Abstract: Systems and methods are described for implementing blockchain-based content engagement platforms. In several embodiments, the content engagement platform includes a registry service which enables verified content creators to mint Non-Fungible Tokens (NFTs). In many embodiments, media wallet applications enable users to securely store NFTs and/or other tokens on their devices. In a number of embodiments, the media wallet applications collect data concerning media consumed by users and aggregate the media consumption data in a permissioned analytics blockchain. The manner in which the media consumption data is stored can enable users to control permission to access their personal data. In one embodiment, a media wallet is provided that can securely store NFTs, display a user interface through which user instructions concerning data access permissions are received, and cause media consumption data to be written to at least one immutable ledger in conjunction with a set of data access permissions.

Abstract: Tasks are selected for hibernation by recording user preferences for tasks having no penalty for hibernation and sleep; and assigning thresholds for battery power at which tasks are selected for a least one of hibernation and sleep. The assigning of the thresholds for battery power include considering current usage of hardware resources by a user and battery health per battery segment. A penalty score is determined for tasks based upon the user preferences for tasks having no penalty, and task performance including at least one of frequency of utilization, memory utilization, task dependency characteristics and task memory hierarchy. The penalty performance is a value including both the user preference and the task performance. Tasks can then be put into at least one of hibernation mode and sleep mode dictated by their penalty performance during the thresholds for battery power.

Abstract: An interruption-handling setting for a category of interactions of an application is determined via a programmatic interface. A set of user-generated input is obtained while presentation to a user of a set of output of the category is in progress. A response to the set of user-generated input is prepared based at least in part on the interruption-handling setting.

Abstract: Technologies are described for automated payload testing of open data protocol (OData) application programming interfaces (APIs). For example, metadata describing an OData service can be retrieved from the OData service. The OData service can then be tested for one or more entities of the OData service. Testing can be performed by dynamically creating various payloads for testing the entities of the OData service and the OData operations supported by the entities. Results of executing the payloads can be received and evaluated to determine whether a given payload was executed successfully by the OData service. Results of the testing (e.g., indications of success or failure) can be output.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In some embodiments, contextual data is obtained and used to select a set of keywords (e.g., words or phrases) for voice control of an electronic device. When a speech input is received by the electronic device, a determination is made whether the speech input includes any of the selected keywords. If the speech input does include a selected keyword, an action is performed in response.

Abstract: Multimodal techniques are described for classifying start pages and document types of an unstructured document image package. To that end, some implementations of the disclosure relate to a method, including: obtaining a document image file including multiple pages and multiple document types; generating, for each page of the multiple pages, using multiple independent trained models, multiple independent predictions, each of the multiple independent predictions indicating: whether or not the page is a first page of a document, or a document type of the multiple document types that the page corresponds to; and generating, for each page of the multiple pages, based on the multiple independent predictions, using a neural network, a final prediction output indicating whether or not the page is the first page of a document, or one of the multiple document types that the page corresponds to.

Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.

Abstract: Acoustic echo cancellation for a video conference system is described. A location of a person in a room can be determined. An audio signal received from the location of the person can be captured using beamforming. An acoustic echo cancellation parameter can be determined based in part on the audio signal captured from the location of the person. Acoustic echo cancellation can be performed on the audio signal using the acoustic echo cancellation parameter.

Abstract: A device may receive real time audio data associated with a call between an agent and a customer, and may receive customer data identifying historical interactions with the customer. The device may receive chat data associated with the customer or interactive voice response (IVR) data associated with the customer, and may generate, based on the real time audio data, transcript data identifying a real time transcript of the call with the customer. The device may process the real time audio data, the customer data, the chat data or the IVR data, and the transcript data, with a machine learning model, to determine a customer intent and one or more actions to perform based on the customer intent; and may perform the one or more actions.