Abstract: In some implementations, a system is provided for securely transferring access credentials from a mobile device that is exclusively operated by a single user, to a terminal device that is shared among multiple different users, via a session server. A session is established between the session server and the terminal device over a secure communication channel. The terminal device generates a key pair, transmits the public key to the session server, and stores the private key. The terminal device outputs a detectable code corresponding to the session. In response to detecting the detectable code, the mobile device transmits an access token payload to the session server. The session server transmits, to the terminal device, an encrypted access token that has been encrypted using the public key. The terminal device decrypts the encrypted access token using the stored private key, and provides operator access to the terminal device.

Abstract: A technique detects latency-related anomalies that occur in performing provisioning actions in a network-accessible computing platform. Illustrative provisioning actions include creating a resource (e.g., a virtual machine), updating the resource, and deleting the resource. The technique operates by detecting and reporting the latency-related anomalies on a service-level granularity. The technique also provides access to operation-level latency-related data to assist in diagnosing the causes of the anomalies. In some implementations, the technique consolidates incidents that potentially reveal a common source of failure into a single report. In some implementations, the technique interacts with a machine-trained language model to confirm whether a reported incident is a false positive which does not warrant further action.

Abstract: A method for managing a plurality of imaging devices in a vehicle includes determining that a change of data security mode is indicated for frames of image data transmitted over a first data communication link, determining whether a sensor management system has sufficient processing capacity to support the change of data security mode, increasing the processing capacity of the sensor management system by modifying data security settings for at least one other data communication link when the processing capacity of the sensor management system is insufficient to support the change of data security mode, and initiating the change of data security mode when the sensor management system has sufficient processing capacity to support the change of data security mode. The change of data security mode may include a change from an application-based to a link-based data security mode or a change from the link-based to the application-based data security mode.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to determine text on an object. In some embodiments, there is provided a system to determine text of interest on an object of interest including a control circuit configured to execute a machine learning model trained to identify the text of interest, group into a cluster each character in the text of interest located substantially in the same location in the text of interest, determine a score value of each particular character in the cluster, identify the particular character that has a determined score value corresponding to at least a threshold score value relative to all characters in the cluster, assign the particular character having the determined score value corresponding to at least the threshold score value as a recognized character in the cluster, and output data comprising each recognized character associated with each cluster in the text of interest.

Abstract: The present invention relates to a system and method for providing live information screensaver on a living room device. The method comprises fetching, a live information content for the one or more screensaver, the live information content comprising a set of one or more information pieces, extracting a set of keywords in the live information content, the set of keywords comprising one or more keywords related to the one or more information pieces, generating one or more images related to the one or more information pieces, wherein the one or more images are generated based on the one or more keywords, and the one or more information pieces, stitching the one or more images with the one or more information pieces to generate one or more live information screensavers; and providing the one or more live information screensavers.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to detecting text of interest. In some embodiments, there is provided a system to detect vertically oriented text of interest including at least one camera and a control circuit configured to execute a trained machine learning model to automatically detect vertically oriented text of interest on an object of interest. The trained machine learning model is at least trained on a first data set including a plurality of captured digital images each depicting the object of interest, and a second data set including a plurality of augmented digital images each depicting a captured digital image augmented with a synthetic text image including randomly generated text on a randomly selected background image.

Abstract: A machine learning based computing method for analyzing intent of electronic mails, is disclosed. The machine learning based computing method includes steps of: receiving metadata associated with the electronic mails from databases; extracting first textual contents from last received electronic mails stored in electronic mail files by preprocessing the last received electronic mails; analyzing the intent of the electronic mails based on a first machine learning model; classifying the electronic mails into reason codes based on a second machine learning model; extracting information associated with named entities from unstructured and unlabeled electronic mails based on a third machine learning model; grouping the electronic mails into categories based on the intent of the electronic mails, the reason codes, and standardized information associated with the named entities; and providing an output of categorized electronic mails to users on a user interface associated with electronic devices.

Abstract: A machine learning based computing method for generating electronic mails for accounts receivables management is disclosed.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for efficient inferencing using machine learning models and learned normalizing constants. An example method generally includes receiving an input for processing using a machine learning model. The input is normalized based on one or more defined constants associated with characteristics learned from a training data set used in training the machine learning model. An inference is generated for the input based on the normalized input, and one or more actions are taken based on the generated inference.

Abstract: A system and method for a risk management visualization system comprises a computer having a processor and memory and configured to model a supply chain network as a supply chain planning problem, one or more key process indicators (KPIs) of the supply chain planning problem is based, at least in part, on the one or more input variables, model an impact on the one or more KPIs from each of the one or more input variables at a selected confidence interval using a Bayesian optimization process, and display a visualization of a risk profile for the one or more KPIs, the visualization indicating a probability that an actual KPI value differs from a predicted KPI value.

Abstract: To automatically onboard network functions to a credential vault, a orchestration processor actuates establishment of an cluster account for a network cluster, and actuates a cluster configuration of a processor of the vault to enable authentication of a network cluster. For each of a plurality of network functions associated with the network cluster, the orchestration processor generates an identifier, sets values for parameters of an initialization parameter set, actuates assignment of access permissions for a code address on a memory of the vault, actuates assignment of elevated access permissions for a credential address on the vault memory, and actuates association of the network function with a cluster account of the network cluster. The vault memory thereby defines credential addresses each corresponding to a respective network function.

Abstract: In accordance with an embodiment, described herein is a system and method for providing on-demand localization in a microservice application environment. Generally described, an on-demand localization environment enables the system to serve localized user interface labels for an existing, e.g., monolith application, on-demand-without impacting the existing setup of the application or its present means of handling localizations. The described approach can ensure that only the localization which is needed for a particular user interface or visited page is served, without incurring additional round-trips back to the server for user interface messages that could have been served from the client. For applications and user interfaces comprising more than one module, the system can retrieve the localization for each of the modules in a single call.

Abstract: In some implementations, a system is provided for securely transferring access credentials from a mobile device that is exclusively operated by a single user, to a terminal device that is shared among multiple different users, via a session server. A session is established between the session server and the terminal device over a secure communication channel. The terminal device generates a key pair, transmits the public key to the session server, and stores the private key. The terminal device outputs a detectable code corresponding to the session. In response to detecting the detectable code, the mobile device transmits an access token payload to the session server. The session server transmits, to the terminal device, an encrypted access token that has been encrypted using the public key. The terminal device decrypts the encrypted access token using the stored private key, and provides operator access to the terminal device.

Abstract: A process for increasing the extraction yield of vanadium oxides from the spent liquor generated in the Bayer process for the recovery of alumina from bauxite, with the use of a water-soluble polymer. The water-soluble may be a polysaccharide or a synthetic polymer, which may include at least one non-ionic and/or anionic and/or cationic hydrophilic monomers.

Abstract: A machine learning based computing method for computing optimal contact times for contacting first users including debtors, is disclosed. The machine learning based computing method includes: receiving inputs from second users including debt collectors; extracting data associated with the first users and the second users from databases, based on the inputs received from the second users; computing contact feature scores based on the extracted data associated with the first users and the second users, for each specified interval of a contact prediction window; computing first user call scores for each specified interval of the contact prediction window based on the contact feature scores for each specified interval of the contact prediction window, using a machine learning model; and computing the optimal contact times and a prioritized list of the optimal contact times by ranking each specified interval of the contact prediction window associated with the first user call scores.

Abstract: The present invention relates to an oral care composition comprising an invertase, a beta-glucosidase, and a glucoamylase, use of said composition as medicaments, use of said composition in treatment of oral disease, methods of treatment comprising administering said composition to a human subject, methods of preventing or removing oral biofilm comprising contacting an oral biofilm with said composition, methods for reducing the risk of oral biofilm formation, and kits of parts comprising said composition.

Abstract: A skin preparation device including a body member, a fluid retention member operatively connected to a distal end of the body member, and a tip extending radially from an outer surface of the fluid retention member.

Abstract: Systems and techniques are provided for generating depth information from one or more images. For example, a process can include obtaining a first depth map corresponding to an input comprising an image of the one or more images and a sparse depth measurement. A three-dimensional (3D) point cloud can be generated based on the first depth map and multi-scale visual features of the input, wherein the 3D point cloud includes a plurality of 3D point features uplifted from the multi-scale visual features. At least a portion of the plurality of 3D point features can be processed using one or more self-attention layers to generate refined 3D point features. A two-dimensional (2D) projection of the refined 3D point features can be generated and a second depth map can be generated based on the 2D projection of the refined 3D point features.

Abstract: Disclosed herein are pharmaceutical compositions in the form of a suspension for oral delivery. Some embodiments provide a pharmaceutical composition in the form of a suspension for oral delivery comprising an active pharmaceutical ingredient; water; a suspending agent; a buffering agent; and one or more of a wetting agent and a binder/filler. In some embodiments, the active pharmaceutical ingredient is selected from quetiapine, sildenafil, tadalafil, cinacalcet, ticagrelor, mycophenolate, aprepitant, zonisamide, and primidone.

Abstract: Systems and techniques are provided for generating depth information. For example, a process can include obtaining a first feature volume including visual features corresponding to each respective frame included in a first set of frames. A first query generator network can generate reconstruction features associated with a reconstructed feature volume corresponding to the first feature volume. Based on the first feature volume, a second query generator network can generate motion features associated with predicted future motion corresponding to the first feature volume. An initial depth prediction can be generated for each respective frame based on cross-attention between features of a depth prediction decoder, the reconstruction features, and the motion features. A refined depth prediction can be generated for each respective based on cross-attention between the initial depth prediction, the reconstruction features, and the motion features.