Abstract: An apparatus configured to initiate a voice call to a target device, generate, for transmission to a first server, a request for a video call link upon a determination that a trigger event has occurred, process, based on signaling received from the first server, a video call link, generate, for transmission to a base station, a message comprising the video call link to be forwarded to the target device and establish a video session with the target device using the video call link while still maintaining the voice call with the target device.

Abstract: Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.

Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Abstract: A method for data processing is described. The method may include retrieving, from a cloud storage environment accessible to a data management system (DMS), two or more observability data sets associated with a set of time intervals within a selected time range. The observability data sets may contain a set of time-partitioned data blocks that include tracing data associated with operations performed by one or more nodes of a node cluster of the DMS during the selected time range. The method may further include merging the tracing data by selecting a first subset of overlapping time-partitioned data blocks, omitting a second subset of the overlapping time-partitioned data blocks, and retaining one or more non-overlapping time-partitioned data blocks. The method may further include transmitting data corresponding to a visualization of the merged tracing data.

Abstract: A chat message is received. A topic identifier that identifies a topic of the chat message is obtained. Based on the topic identifier, a first virtual agent of a plurality of virtual agents is selected according to a determination that the first virtual agent is configured to implement a first workflow that is associated with the topic. The chat message is processed via the first virtual agent.

Abstract: Embodiments disclosed herein relate to electronic devices, and more particularly to estimating a damage risk level for an electronic device. A method disclosed herein includes measuring motion parameters of the electronic device, on the electronic device being dropped on a surface. The method further includes classifying the surface into at least one type by processing the measured motion parameters using a classifier module. The method further includes estimating a damage risk score depicting the damage risk level for the electronic device based on the classified surface, the measured motion parameters of the electronic device, and a usage history of the electronic device.

Abstract: Applicant discloses herein relate to systems, methods, apparatuses, and non-transitory computer readable media for generating physiological signals datasets, analyzing physiological signals in the physiological signals datasets, extract fractional dynamics signatures specific to Chronic Obstructive Pulmonary Disease (COPD) medical records, and identifying, using a deep neural network (DNN), a COPD stage.

Abstract: The present invention provides a drug delivery system for targeted cancer treatment, comprising: a GEM-PLGA complex, wherein the complex contains 150 mg of GEM-PLGA, equivalent to 25 mg of gemcitabine (GEM); Acetone in an amount of 10 ml as a solvent for the GEM-PLGA complex; Polyvinyl alcohol (PVA) solution in an amount of 20 ml, with a concentration of 2% w/v, used as a stabilizer for the formulation; and a Layer-by-Layer nanoparticle (LbL-NP) formulation encapsulating the GEM-PLGA complex and configured to release GEM in a controlled manner upon administration. The physiochemical properties of Caps-GEM LbL NPs was evaluated such as particle size, zeta potential, percent entrapment efficiency (% EE), loading of drug and In-vitro drug release behavior. The surface morphology of LbL NP's was evaluated by scanning electronic microscopy (SEM).

Abstract: The solution of a partial differential equation can be obtained by computing the inverse operator map between the input and the solution space. Described herein is a multiwavelet-based neural operator learning scheme that compresses the associated operator's kernel using fine-grained wavelets. The system embeds the inverse multiwavelet filters to learn the projection of the kernel onto fixed multiwavelet polynomial bases. The projected kernel is trained at multiple scales derived from using repeated computation of multiwavelet transform. This allows learning the complex dependencies at various scales and results in a resolution-independent scheme. These techniques exploit the fundamental properties of the operator's kernel, which enables numerically efficient representation. These techniques show significantly higher accuracy in a large range of datasets.

Abstract: Systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers.

Abstract: The disclosed MTJ read circuits include a current steering element coupled to the read path. At a first node of the current steering element, a proportionally larger current is maintained to meet the requirements of a reliable voltage or current sensing. At a second node of the current steering element, a proportionally smaller current is maintained, which passes through the MTJ structure. The current at the first node is proportional to the current at the second node such that sensing the current at the first node infers the current at the second node, which is affected by the MTJ resistance value.

Abstract: Aspects of the disclosure enable endpoint devices to launch applications from an application inventory data store using a unified endpoint management (UEM) platform. The UEM platform obtains an application specification from the application inventory data store, wherein the application specification includes a group of applications and includes location data associated with the group of applications on the application inventory data store. The UEM platform receives user data from an endpoint device that indicates a user is enrolled with the UEM platform and the UEM platform provides the application specification data to the endpoint device. The UEM platform determines a subset of applications of the group of applications that are assigned to the user using the user data and provides the determined subset of the applications to the endpoint device, whereby the endpoint device is enabled to launch an application of the subset of applications using the application specification data.

Abstract: Systems and methods are configured for preprocessing of images for further content based analysis thereof. Such images are extracted from a source data file, by standardizing individual pages within a source data file as image data files, and identifying whether the image satisfies applicable size-based criteria, applicable color-based criteria, and applicable content-based criteria, among others, utilizing one or more machine-learning based models. Various systems and methods may identify particular features within the extracted images to facilitate further image-based analysis based on the identified features.

Abstract: A charging system for an Implantable Medical Device (IMD) is disclosed having a charging coil and one or more sense coils preferably housed in a charging coil assembly coupled to an electronics module by a cable. The charging coil is preferably a wire winding, while the sense coils are preferably formed in one or more traces of a circuit board. One or more voltages induced on the one or more sense coils can be used to determine one or more parameters (magnitude, phase angle, resonant frequency) indicative of the position between the charging coil and the IMD, which position may include the radial offset and possibly also the depth of the charging coil relative to the IMD. Knowing the position, the power of the magnetic field produced by the charging coil can be adjusted to compensate for the position.

Abstract: A trained model and/or an edge client running on an edge device may obtain data from a data source (e.g., a security video camera) and determine, based on a result of processing the data using the model, whether to send an indication of an upcoming data/video stream to the provider network (e.g., indicating a bearer modification). The received indication may be used by the provider network to send a request to a serving wireless infrastructure (e.g., telco operator/wireless mobile core) for configuration of one or more resources on behalf of the edge device to process the upcoming data stream. The received indication may be used by the provider network in order to configure one or more resources at the provider network to process the upcoming data stream. The edge device initiates transmission of the data stream from the data source to the provider network via the serving wireless infrastructure.

Abstract: A computing device for determining a new credit card number that is a continuation match with an old credit card number of a credit card account that has changed numbers comprises a processing element programmed to: receive transactional data for a plurality of credit card numbers, determine a plurality of old credit card numbers and a plurality of new credit card numbers, determine a plurality of clusters of new credit card numbers, convert the transactional data for each old credit card number and the associated cluster of new credit card numbers into snapshots with an image-like data format, train a modified siamese network with instances of snapshots of an old credit card number, a first new credit card number, and a second new credit card number, and use the modified siamese network to determine one new credit card number that is an upgrade of one old credit card number.

Abstract: Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.

Abstract: A document management system manages documents. The documents are managed such that the documents may be shared with one or more users during an online sharing session for electronic signing. During the online sharing session, one or more documents are collaboratively reviewed by one or more participants of the online sharing session. The one or more documents are e-signed at least one of the participants of the online sharing session.

Abstract: Methods for a metadata driven application programming interface (API) creation service are disclosed. In one embodiment, a computer-implemented method may include: (1) generating, by an API service application program, a query including request data received in an API request, (2) determining, by the API service application program and based on the request data, a target database associated with the API request, (3) executing, by the API service application, the query on the target database to retrieve a result including a target dataset, the target dataset including target metadata, (4) mapping, by the API service application program, the target metadata to format data compatible with program code for building an API responsive to the API request, and (5) creating, by the API service application program and utilizing the program code, the API based on the formatted target metadata.

Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.