Abstract: A user terminal comprising a communication interface and a processor, transmits a user authentication request to an account management server so as to perform authentication in association with a user account; when a request to access an external server is received, transmits the request to access the external server to the account management server when first one-time password (OTP) information and second OTP information are received from the account management server, establishes a first communication channel with a relay server by using the first OTP information; establishes a second communication channel between the relay server and the external server by using the second OTP information; and communicates with the external server via the first communication channel and the second communication channel.

Abstract: In certain embodiments, location-based activation of card identifiers may be facilitated. In some embodiments, an electrophoretic display card may store a set of location-specific card identifiers, where each card identifier of the set is associated with (i) an account of a user and (ii) creation location information indicating a device location of the user at a creation time of the card identifier. In response to being powered by a user device, the card may initiate wireless communication with the user device. The card may determine a device location of the user device, select a card identifier from the set of card identifiers that matches the device location, and switch a state of the card identifier to an active state to enable transaction processing for the card identifier. In some embodiments, the card may cause the active card identifier to be presented on an electrophoretic display of the card.

Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives a declarative specification for creating a datacenter on a cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate deployment version map associating data center entities of the data center with versions of software artifacts targeted for deployment on the datacenter entities. The system collects a set of software artifacts according to the aggregate deployment version map. The system executes the aggregate pipeline in conjunction with the aggregate deployment version map to create the datacenter in accordance with the cloud platform independent declarative specification.

Abstract: A method includes generating a three-dimensional point cloud including a plurality of data points and filtering the three-dimensional point cloud to remove one or more data points from the plurality of data points. The one or more data points are removed from the plurality of data points based on a position of the one or more data points.

Abstract: Systems and methods for adaptive token verification are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a verification model to verify tokenized requests based on system identifiers. The operations may include receiving a tokenized request from an external system, the request comprising a system identifier of the external system. The operations may include generating output of the verification model based on the system identifier, and, based on the output, performing one of granting the request or blocking the request.

Abstract: Autoregressive content rendering for temporally coherent video generation includes generating, by an autoencoder, a plurality of predicted images. The plurality of predicted images is fed back to the autoencoder network. The plurality of predicted images may be encoded by the autoencoder network to generate a plurality of encoded predicted images. The autoencoder network encodes a plurality of keypoint images to generate a plurality of encoded keypoint images. One or more predicted images of the plurality of predicted images are generated by the autoencoder network by decoding a selected encoded keypoint image of the plurality of encoded keypoint images with an encoded predicted image of the plurality of encoded predicted images of a prior iteration of the autoencoder network.

Abstract: In some embodiments, Uniform Resource Locator (URL) parameters may be used to bind access tokens to authorize web-browser-initiated network operations. In some embodiments, a user input at a data exchange gateway associated with a first website to perform a first network operation (e.g., a request to access resources associated with the first website) may be detected. In response to the detected user input, an access token may be generated based on user specific information associated with the user, where the access token is associated with one or more network operation parameters. In response to a use of the access token for authorizing the first network operation and successful authorization of the first network operation, the access token may be configured to be bound to a first URL identifier parameter associated with the first website.

Abstract: Facilitating geo-distributed dynamic network system for ubiquitous access to multiple private networks in advanced networks (e.g., 4G, 5G, and beyond) is provided herein. Operations of a method can comprise establishing, by a system comprising a processor, a first communication link between a first network device and group of devices connected via a private network connection. The method also can comprise establishing, by the system, a second communication link between the first network device and a second network device. The second network device can be included in a group of network devices associated with a communication network provider. Further, the second network device can facilitate communication with a communication device.

Abstract: Systems and methods for performing medical audio summarizing for medical conversations are disclosed. An audio file and meta data for a medical conversation are provided to a medical audio summarization system. A transcription machine learning model is used by the medical audio summarization system to generate a transcript and a natural language processing service of the medical audio summarization system is used to generate a summary of the transcript. The natural language processing service may include at least four machine learning models that identify medical entities in the transcript, identify speaker roles in the transcript, determine sections of the transcript corresponding to the summary, and extract or abstract phrases for the summary. The identified medical entities and speaker roles, determined sections, and extracted or abstracted phrases may then be used to generate the summary.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, in a slot via a dynamic spectrum sharing (DSS) spectrum, a plurality of cell-specific reference signals (CRSs) of a first radio access technology (RAT). The UE may receive, in the slot via the DSS spectrum, a plurality of demodulation reference signals (DMRSs) of a second RAT, wherein the plurality of DMRSs is associated with a Type-B physical downlink shared channel (PDSCH) scheduled by downlink control information format 1_0, wherein the Type-B PDSCH starts at a fourth symbol of the slot and has a duration of ten symbols, and wherein the slot contains no collision between any CRS of the first RAT and any DMRS associated with the Type-B PDSCH. Numerous other aspects are described.

Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.

Abstract: Aspects of the disclosure are directed to an optimization model for storing liquid hydrogen to power fuel cells in data centers. The optimization model can be based on hydrogen fuel consumption rates in the data center, refueling rates from vendors, refueling response time, storage tank area constraints in the data center, and/or logistical refueling constraints. The optimization model can allow for providing sufficient fuel within a constrained space for backup power in the data center, such as when an emergency arises.

Abstract: In certain embodiments, location-based activation of card identifiers may be facilitated. In some embodiments, an electrophoretic display card may store a set of location-specific card identifiers, where each card identifier of the set is associated with (i) an account of a user and (ii) creation location information indicating a device location of the user at a creation time of the card identifier. In response to being powered by a user device, the card may initiate wireless communication with the user device. The card may determine a device location of the user device, select a card identifier from the set of card identifiers that matches the device location, and switch a state of the card identifier to an active state to enable transaction processing for the card identifier. In some embodiments, the card may cause the active card identifier to be presented on an electrophoretic display of the card.

Abstract: A computing system, for example, a multi-tenant system configures a datacenter in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system destroys the datacenter or a set of datacenter entities of the datacenter. The system determines dependencies between datacenter entities based on the declarative specification. The system generates an aggregate destroy pipeline comprising a hierarchy of pipelines. The system generates an aggregate destruction version map associating datacenter entities of the datacenter with versions of software artifacts, wherein a software artifact stores instructions for destroying resources of a datacenter entity. The system collects a set of software artifacts according to the aggregate destruction version map. The system executes the aggregate destroy pipeline in conjunction with the aggregate destruction version map to destroy the set of datacenter entities of the datacenter.

Abstract: The disclosed embodiments provide systems and methods for providing real-time warnings to merchants for data breaches. For example, the system may include one or more memory devices storing instructions and one or more processors configured to perform operations consistent with this disclosure. The operations may include collecting and storing transaction authorization requests from one or more merchants. The transaction authorization requests may include a virtual account number associated with an account, the virtual account number being previously bound to a merchant and reusable only for the bound merchant. The operations may further include detecting an event at the bound merchant based on, for example, a transaction authorization request having a mismatch between a transacting merchant and the bound merchant. The operations my further include communicating notification of the event through a communication interface with the bound merchant.

Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives a declarative specification for creating a datacenter on a cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate deployment version map associating data center entities of the data center with versions of software artifacts targeted for deployment on the datacenter entities. The system collects a set of software artifacts according to the aggregate deployment version map. The system executes the aggregate pipeline in conjunction with the aggregate deployment version map to create the datacenter in accordance with the cloud platform independent declarative specification.

Abstract: Disclosed are system (100) and method (300) for optimizing data transmission in communication network. System comprises Internet of Thing (IoT) device node (102) having sensors for capturing sensor data and controller (106) configured at the IoT device node for constructing set of attributes from the sensor data, such that each set of attribute comprises sensor data based on correlation. Support Vector Regression (SVR) models for pruning the sensor data at IoT device node (102) is defined. Values for each attribute in set of attributes predicted based on predicting run-time errors in values according to the SVR models defined for each of base attribute and the non-base attribute. The run-time errors for each of base attributes and non-base attributes gets compared with threshold error values. The IoT device node (102) transmits either model parameters for attributes or training data along with the set of attributes by transceiver (108) to the data collector node (104).

Abstract: Various embodiments set forth a computer-implemented method of displaying content of a visualization environment, comprising receiving, by a display controller coupled to a display device included in a plurality of display devices, a configuration that includes a display mode and identifies a dashboard to be displayed, determining a position of the display device relative to positions of other display devices, retrieving a set of values associated with the dashboard, where the set of values is provided by a remote data source based on a query executed on raw machine data associated with the dashboard, determining, based on the position, at least a portion of the dashboard to display in the display device, and causing, by the display controller, the display device to display at least a portion of the set of values within at least the portion of the dashboard.

Abstract: Systems and methods for adaptive token verification are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a verification model to verify tokenized requests based on system identifiers. The operations may include receiving a tokenized request from an external system, the request comprising a system identifier of the external system. The operations may include generating output of the verification model based on the system identifier, and, based on the output, performing one of granting the request or blocking the request.

Abstract: In some embodiments, validation of a network operation based on screenshot-derived uniform resource locator (URL) data may be facilitated. In some embodiments, in connection with use by a user of a first token associated with a first entity, user activity data associated with the user may be stored in a database in association with the first token. In some embodiments, the first user activity data may comprise first URL data and first timestamps associated with the first URL data. After the storage of the first user activity data, a first action request for a first action involving use of the first token may be obtained. A validation process may be performed on the first action by performing a first query of the database for user activity data based on the first action request.