Abstract: A lighting stage includes a plurality of lights that project alternating spherical color gradient illumination patterns onto an object or human performer at a predetermined frequency. The lighting stage also includes a plurality of cameras that capture images of an object or human performer corresponding to the alternating spherical color gradient illumination patterns. The lighting stage also includes a plurality of depth sensors that capture depth maps of the object or human performer at the predetermined frequency. The lighting stage also includes (or is associated with) one or more processors that implement a machine learning algorithm to produce a three-dimensional (3D) model of the object or human performer. The 3D model includes relighting parameters used to relight the 3D model under different lighting conditions.

Abstract: The disclosure herein describes processing consent data and using the processed consent data in workflows. Customer consent data is accessed, wherein the customer consent data includes subject consent instances including associated consent purpose-value pairs. The customer consent data is mapped to a raw consent data schema based on mapping selections made on a mapping UI, wherein the mapping includes mapping consent purpose-value pairs of the consent instances to data columns of the raw consent data schema. Metadata representing one or more consent rules related to the raw consent data schema is generated based on rule selections made on a rule configuration UI and the consent rules are applied to one or more workflows. The disclosure enables consent data in different formats and/or from different sources to be ingested and standardized in a single platform such that consent checking functionality can be provided for applications in a consistent and comprehensive manner.

Abstract: A wireless transceiver. The transceiver includes: (i) a transmit signal path; (ii) a calibration path, comprising a conductor to connect a calibration tone into the transmit signal path; (iii) a receive signal path, comprising a first data signal path to process a first data and a second data signal path, different than the first data signal path, to process a second data; (iv) a first capacitive coupling to couple a response to the calibration tone from the transmit signal path to the first data signal path; and (v) a second capacitive coupling to couple a response to the calibration tone from the transmit signal path to the second data signal path.

Abstract: Techniques are provided herein for dynamic pressure control of a heat sink. In one example embodiment, an apparatus includes a Ball Grid Array (BGA) device, a heat sink thermally coupled to the BGA device, and a pressure control assembly configured to dynamically control a pressure of the heat sink on the BGA device based on a temperature associated with the BGA device. The pressure control assembly includes a Shape Memory Alloy (SMA) washer configured to apply a first amount of the pressure when the SMA washer is in a first state, and a second amount of the pressure when the SMA washer is in a second state.

Abstract: Methods and systems disclosed herein describe tokenizing data to generate a secure token that is limited in scope (e.g., directed to a specific recipient) and limited in time (e.g., valid for only a specified period of time). A detokenization process may be employed to recover encrypted data of the secure token without the need for any relational database lookup processes, thereby reducing cost while maintaining robust protection against unintended recipients that attempt to recover the encrypted data.

Abstract: An example operation includes one or more of receiving, by a vehicle, a software update from a first node, responsive to the software update encountering an issue, ceasing, by the vehicle, the software update resulting in an initial portion of the software update being received by the vehicle, requesting, by the vehicle, a remaining portion of the software update, and receiving, by the vehicle, the remaining portion of the software update from a second node.

Abstract: A system for bulk exporting resource data of parameters included in a view is provided. The system includes at least one processor configured to execute instructions to: receive a user request to bulk export resource data of the parameters for a plurality of instances of the view, based on the received user request, obtain view details for the view, wherein the view details comprise identifiers of the parameters included in the view and identifiers of one or more tables in which the resource data of the parameters are respectively stored, obtain, from the one or more tables and based on the view details, the resource data of the parameters for each of the plurality of instances of the view, and generate an export file including headers with the identifiers of the parameters, based on the obtained view details, and the obtained resource data of the parameters.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for optimizing user experience/engagement and revenue. An example embodiment operates by a computer-implemented method for providing one or more advertisements to a media device. The method includes receiving, by at least one computer processor, a user state associated with a user of the media device, where the user state corresponds to a time step. The method further includes receiving a revenue value associated with the user of the media device, where the revenue value corresponds to the time step. The method also include determining an action associated with the user based on the user state and the revenue value. The action includes one or more parameters associated with the one or more advertisements. The method further includes providing the action to the user.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for reducing active user or active content category bias in content recommendation systems. An example embodiment operates by modifying a streaming event data set by selecting a voting algorithm. The voting algorithm reduces an impact of highly occurring data points by sampling the streaming event data set to generate a sampled streaming event data set, wherein the highly occurring data points comprise data points generated by the active users or the active content categories. The embodiment further trains, by a machine learning engine and based on the sampled streaming event data set, a machine learning model to generate a reduced bias content recommendation model and generates, based on the reduced bias content recommendation model, content recommendations for subsequent selection and rendering on a media device.

Abstract: A computing device and a method to generate a decentralized delivery scheme for multivehicle in an interested area may comprise the following steps. First, the computing device may receive map data, travel request data, and service vehicle data. Second, the computing device may determine one or more constraints based on the travel request data. Third, the computing device may abstract the travel request data, the service vehicle data, and the map data into a request-vehicle graph comprising nodes and edges. Fourth, the computing device may trim the request-vehicle graph into partial request-vehicle graphs for each service vehicle. Fifth, the computing device may encode the partial request-vehicle graphs through a graph neural network (GNN). Sixth, the computing device may train the GNN to predict actions for each service vehicle. Finally, the computing device may instruct the service vehicles to operate based on the actions.

Abstract: The disclosure provides methods for identifying non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in a subject.

Abstract: Packaging media for optimizing immersive media distribution of a media steam performed by at least one processor, is provided, including: receiving immersive media data for an immersive presentation; acquiring asset information associated with media assets corresponding to a set of scenes included in the immersive media data for the immersive presentation; analysing characteristics of the media assets based on the asset information, the characteristics comprising an asset type associated with a respective media asset and a frequency that indicates a number of times the respective media asset is used among the set of scenes included in the immersive presentation; ordering the media assets in a sequence based on the asset type and the frequency associated with each of the media assets; and streaming the immersive media data for the immersive presentation based on the ordered sequence of the media assets.

Abstract: Systems and methods for using ranging signals with cellular devices. The ranging signals may utilize ranging slots and resources at least partially allocated by a cellular network. The resources may include frequencies used for uplink or downlink communications between the cellular network and the cellular devices. Alternatively, the resources may include frequencies outside of a spectrum used for communication between the cellular network and the cellular devices.

Abstract: Systems and methods are described to selectively stream content based on parental control ratings. A particular frame of a live broadcast of a media asset that is to be transmitted to a first device is identified, and it is determined whether the particular frame of the media asset depicts content associated with a parental control rating. In response to such determination, the particular frame and metadata associated with the particular frame that indicates that the particular frame depicts content associated with the parental control rating may be transmitted to the first device, where the transmittal of the metadata causes the first device to perform an action related to display of the particular frame based on comparing the parental control rating with a local parental control setting.

Abstract: A OneAPP platform system and method provide hyperlocal searching. Each computing device has a OneApp that identifies a user action on the computing device that indicates an interest in a point of interest (PoI) and transform, in response to the user action on the computing device, the OneApp stored on the computing device into a PoI specific App that delivers PoI specific content and offers to the computing device.

Abstract: Systems and/or devices for efficient and intuitive methods for implementing artificial neural networks specifically designed for parallel AI processing are provided herein. In various implementations, the disclosed systems, devices, and methods complement or replace conventional systems, devices, and methods for parallel neural processing that (a) greatly reduce neural processing time necessary to process more complex problem sets; (b) implement neuroplasticity necessary for self-learning; and (c) introduce the concept and application of implicit memory, in addition to explicit memory, necessary to imbue an element of intuition. With these properties, implementations of the disclosed invention make it possible to emulate human consciousness or awareness.

Abstract: Disclosed are various approaches for authenticating a user through a voice assistant device and creating an association between the device and a user account. The request is associated with a network or federated service. The user can use a client device, such as a smartphone, to initiate an authentication flow. A passphrase is provided to the client device can captured by the client device and a voice assistant device. Audio captured by the client device and voice assistant device can be sent to an assistant connection service. The passphrase and an audio signature calculated from the audio can be validated. An association between the user account and the voice assistant device can then be created.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes initiating a virtual assistant session responsive to receiving user input. In accordance with initiating the virtual assistant session, the process includes determining, based on data obtained using one or more sensors of the electronic device, whether one or more criteria representing expressed user disinterest are satisfied. In accordance with determining that the one or more criteria representing expressed user disinterest are satisfied prior to a first time, the process includes automatically deactivating the virtual assistant session prior to the first time. The first time is defined by a setting of the electronic device. In accordance with determining that the one or more criteria representing expressed user disinterest are not satisfied prior to the first time, the process includes automatically deactivating the virtual assistant session at the first time.

Abstract: One example includes a circuit. The circuit includes a first transistor having a first control terminal, a first current terminal, and a second current terminal. The first control terminal can be a first input to the circuit. The circuit also includes a second transistor having a second control terminal, a first current terminal, and a second current terminal. The second control terminal can be a second input to the circuit. The circuit also includes an adaptive bias current source coupled to the second current terminal of the respective first and second transistors. The circuit further includes a voltage offset generator coupled in parallel with the second transistor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated calling system are disclosed. In one aspect, a method includes the actions of receiving audio data of an utterance spoken by a user who is having a telephone conversation with a bot. The actions further include determining a context of the telephone conversation. The actions further include determining a user intent of a first previous portion of the telephone conversation spoken by the user and a bot intent of a second previous portion of the telephone conversation outputted by a speech synthesizer of the bot. The actions further include, based on the audio data of the utterance, the context of the telephone conversation, the user intent, and the bot intent, generating synthesized speech of a reply by the bot to the utterance. The actions further include, providing, for output, the synthesized speech.