Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes receiving an audio input including a natural-language user input and identifying an intent object of a set of intent objects. The intent object may be derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving a result response indicating whether the task was successfully performed, and providing an output indicating whether the task was performed.

Abstract: A user equipment (UE) that is registered to a stand-alone non-public network (SNPN) can also access services on a public land mobile network (PLMN). The UE accesses the PLMN by transmitting a first signal to a data network, receiving a second signal from the data network in response to the first signal, wherein the second signal identifies a PLMN that is configured to be accessed by the UE via the data network and transmitting a session initiation protocol (SIP) registration request to the PLMN via the data network.

Abstract: Machine-learning-aided automatic taxonomy for web data. In an embodiment, a training dataset of annotated features is used to train a model to predict a class in a taxonomy of web-based activities. The features may be derived from a uniform resource locator (URL) of an online resource and associated metadata. During operation, the features may be extracted from the URL and metadata of each activity record in web data. The trained model may be applied to the extracted features for each activity record to predict a class within the taxonomy. The predicted taxonomic class may be stored in association with the URL that was extracted from the activity record to produce a taxonomized URL.

Abstract: An online concierge system requests an image of a receipt of an order from a picker after the picker fulfills the order at a store. The online concierge system performs image processing on the image of the receipt and uses machine learning and optical character recognition to determine a tax amount paid for the order and a confidence score associated with the tax amount. The online concierge system may use the machine learning model for segmenting extracted text in the image of the receipt into tokens. The online concierge system may then determine at least one token associated with a tax item and the tax amount associated with the tax item. The online concierge system communicates the tax amount to the store for reimbursement based on the tax amount and the confidence score.

Abstract: Embodiments of the present disclosure provide a system and a method of controlling a robot for autonomous navigation. The method includes receiving a set of point values defining LIDAR data from a LIDAR sensor scanning a 2D omnidirectional plane, receiving a sensor value from an ultrasonic sensor having a 3D field of view excluding the plane, and resolving an observable field of view for the LIDAR sensor, where the observable field of view includes a blind spot of the LIDAR sensor, and modifying the LIDAR data using the sensor value based on the object being located in the blind spot indicated by the sensor value less than one or more point values corresponding to a portion of the plane extending along the observable field of view, where the modified LIDAR data indicates the object being detected by the LIDAR sensor despite the object located outside the 2D field of view.

Abstract: Techniques for optimizing flight safety operations for an aircraft are described. In operation, aircraft operational parameters corresponding to a plurality of flight operations are retrieved. The aircraft operational parameters are then analyzed using a first machine learning model to identify a first flight operation, where the first flight operation comprises at least one aircraft operational parameter with deviation beyond a threshold. At least one potential flight safety incident corresponding to the first flight operation is then identified using the at least one aircraft operational parameter. The at least one potential flight safety incident is then analyzed using a second machine learning model to identify a corrective action for the potential flight safety incident, where the second machine learning model is trained using flight safety artifacts comprising a plurality of flight safety incidents and corrective actions to be initiated in response to the plurality of flight safety incidents.

Abstract: A method includes receiving a message query from an entity identifier participating in a social network. The message query specifies one or more entities, one or more requirements, and one or more constraints. A set of message query parameters is generated based on the message query. A set of queries for a semantic graph of the social network is generated based on the set of message query parameters. The set of queries is applied to the semantic graph to obtain a set of query results. A message context of the entity identifier is determined based on the set of query results and the set of message query parameters. A set of messages from a message repository is determined based on the message context. The set of messages can be presented on a client computer associated with the entity identifier.

Abstract: The present disclosure relates to development of a self-service artificial intelligence platform by integrating data-based model with physics-based model and vice-versa to generate real-time recommendations and control actions. Further, the present disclosure provides the system and method for at least one of data collection and preparation, developing a hybrid system/control model, and developing a physics-based model driven by data-based model and vice versa to generate real-time recommendations and control actions.

Abstract: Techniques for managing session lifecycles through custom scripts in a network environment are provided. In one technique, a container of a virtual machine receives a termination signal that is associated with a command to delete or deactivate a session of the container. In response and prior to terminating the session, the container identifies and executes a script that is associated with the command. After the script completes executing, the session is deleted or deactivated. In another technique, cloud system receives reference data that identifies a storage location of a script. A virtual machine is created in the cloud system. Based on the reference data, the script is downloaded from the storage location into storage that is local to the virtual machine. The script is executed and a session within a container of the virtual machine is initiated.

Abstract: Systems, devices, computer-implemented methods, and tangible non-transitory computer readable media for implementing an organizational management platform that manages organizational data for an organization. The system can receive, from a user device, a user request for a report. Additionally, the system can generate a logic plan based on the user request, the logic plan determining a plurality of models. Moreover, the system can generate a first query being expressed in a custom query language. Furthermore, the system can combine the first query with a second query to generate a unified query. Subsequently, the system can translate the unified query into a final query, wherein the final query is expressed in a data access language. The system can execute the final query to retrieve data from a database, where a report is generated based on the retrieved data.

Abstract: A system include multiple components configured to operate in different modes with different power supply loads. Control circuitry may determine a first voltage margin to be included in a power supply voltage magnitude requested for the components based on current operating modes of the multiple components and detect that a first component of the multiple components has changed its operating mode. In response to the detection, the control circuitry may modify at least one parameter of the following parameters to recover a portion of the first voltage margin: a power supply voltage magnitude and an operating frequency of at least a portion of the system. A magnitude of the modification may be based on an estimated difference between a first amount of dynamic power supply voltage loss before the change in operating mode and a second amount of dynamic power supply voltage loss after the change in operating mode.

Abstract: Techniques are disclosed relating to graphics processor that support ray tracing. In particular, shader circuitry may be configured to adjust a scheduling priority of a single-instruction multiple-data (SIMD) group of a shader program based on a hint that the SIMD group has an upcoming ray intersect command for ray intersect accelerator circuitry and based on a resource usage indication from the ray intersect accelerator circuitry. This may advantageously reduce cache thrashing, e.g., when shaders may allocate memory for ray intersect commands and fill a shared cache faster than the ray intersect accelerator circuitry can process the rays.

Abstract: Systems and methods are provided that implement two-stage three-dimensional (3D) object detection, which includes a distinct fusion of radar data and camera data. The radar data includes a four-dimensional (4D) millimeter-wave (MMW) radar point cloud, and the camera data includes a high-resolution image in the two-dimensional space (2D). Thereafter, a 3D ROI proposal is fused with 2D image data generating a 2D proposal projection. The 2D proposal projection comprises proposals that predict the position of objects in the high-resolution image. In some cases, proposals in the 2D proposal projection correspond to anchors in the 3D ROI proposal. Then, 2D object detection results are fused with the 3D ROI proposal to generate 3D object detection results. Two-stage 3D object detection allows vehicles to detect objects in a 3D space of the driving environment to navigate safely, avoid obstacles, and respond to dynamic changes in the surrounding environment while operating autonomously.

Abstract: Methods, systems, and programs are presented for detecting impaired views in monitoring cameras. One method includes training a rotation classifier with unsupervised learning utilizing a first set of images. The rotation classifier is configured to receive an input image and generate a rotation feature embedding for the input image. In addition, the method includes training an impairment classifier with supervised learning utilizing a second set of images, impairment labels for each of the second set of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second set of images. The method further includes accessing a vehicle image captured by a camera on a vehicle, and providing the vehicle image to the impairment classifier as input, and the impairment classifier outputs a camera impairment from a set of camera impairment categories. Further, the vehicle image and the camera impairment are presented on a user interface.

Abstract: A method, system, and computer program product generate, with a payment network, a first value (a) and a second value (ga), the second value (ga) based on the first value (a) and a generator value (g); generate, with the payment network, a plurality of random merchant numbers (mi) for a respective plurality of merchant banks; determine, with the payment network, a merchant product (M) based on a product of the plurality of random merchant numbers (mi); generate, with the payment network, a public key (pki) based on the second value (ga), the merchant product (M), and the random merchant number (mi) and a random key (rki) based on the merchant product (M) and the random merchant number (mi) for each respective merchant bank; and communicate, with the payment network, the public key (pki) and the random key (rki) to at least one respective merchant bank.

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.

Abstract: Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for processing media streams. An apparatus includes processing circuitry that sends a message to a media aware network element that is configured to process a plurality of audio streams of a conference call. The message indicates that the plurality of audio streams is to be down mixed by the media aware network element. The processing circuitry receives the down mixed plurality of audio streams from the media aware network element and decodes the down mixed plurality of audio streams to receive the conference call.

Abstract: A data storage device and method for host-determined proactive block clearance are provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to receive a command from a host that specifies a parameter of an upcoming burst mode; and in response to receiving the command, proactively perform a garbage collection operation according to the parameter to create available storage space in the memory to store data from the host during the upcoming burst mode. Other embodiments are possible, and each of the embodiments can be used alone or together in combination.

Abstract: A system and method for automatic and dynamic generation of modelling inputs based atleast upon a defined set of rendering variables, and rendering a reconstructed and optimized model in realtime is described.

Abstract: Methods, non-transitory machine readable media, and computing devices that manage storage operations directed to dual-port solid state disks (SSDs) coupled to multiple hosts are disclosed. With this technology, context metadata comprising a checksum is retrieved based on a first physical address mapped, in a cached zoned namespace (ZNS) mapping table, to a logical address. The logical address is extracted from a request to read a portion of a file. A determination is made when the checksum is valid based on a comparison to identification information extracted from the request and associated with the file portion. At least the first physical address is replaced in the cached ZNS mapping table with a second physical address retrieved from an on-disk ZNS mapping table, when the determination indicates the checksum is invalid. The file portion retrieved from a dual-port SSD using the second physical address is returned to service the request.