Abstract: A method for supporting multiple locations in a preferred-locality attribute NF discovery and selection includes receiving, from producer NFs, NF registration messages including NF profiles with locality attributes and registering the producer NFs by storing the NF profiles including the locality attributes in an NF registration database local to an NRF. The method further includes receiving, from a requesting NF, an NF discovery request having query parameters for discovering producer NFs, the query parameters including a preferred-locality attribute identifying a plurality of different preferred producer NF locations. The method further includes retrieving NF profiles from the NF registration database having locality attributes that match any of the preferred producer NF locations. The method further includes generating an NF discovery response including the NF profiles retrieved from the NF registration database. The method further includes forwarding the NF discovery response to the requesting NF.

Abstract: In some embodiments, a computer-based, pickup and delivery system is configured to perform a pickup/delivery route optimization and dispatch optimized route information to client applications. The optimization may include optimizing the routes for servicing multiple delivery and/or pickup stops. The optimization may also include optimizing the route navigation along the routes from one location to another. The optimized navigation may include generating a destination mapping throughout, for example, an apartment complex or a business park, and determining conveniently located parking to be used to park delivery vehicles, conveniently located staircases, conveniently located elevators, access codes to the secured gates and lockboxes, and the like.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for context scoring adjustments for candidate answer passages. In one aspect, a method includes scoring candidate answer passages. For each candidate answer passage, the system determines a heading vector that describes a path in the heading hierarchy from the root heading to the respective heading to which the candidate answer passage is subordinate; determines a context score based, at least in part, on the heading vector; and adjusts answer score of the candidate answer passage at least in part by the context score to form an adjusted answer score. The system then selects an answer passage from the candidate answer passages based on the adjusted answer scores.

Abstract: A method for feedback-based network slice management includes steps performed at a network slice management function (NSMF) including at least one processor. The steps include subscribing, via a network data analytics function (NWDAF) subscription interface of the NSMF, directly with the NWDAF to create a subscription to be notified of network slice load information and specifying, as part of the subscription, network slice load information report generation criteria defined by the NSMF. The steps further include receiving, directly from the NWDAF, via the NWDAF subscription interface of the NSMF and in response to the NSMF-defined network slice load information report triggering criteria being met, network slice load information. The steps further include determining, based on the network slice load information, that a network slice resource allocation change is needed.

Abstract: A method to automatically assess data quality of data input into a machine learning model and remediate the data includes receiving input data for an automated machine learning model. Selections for a multiple data quality metrics are displayed. A selection for data quality metrics is received. The data quality metrics are determined according to the selection. Selections for data remediation strategies based on the selection of the data quality metrics are displayed. A selection for remediation recommendation strategies is received. The selected data remediation strategies are performed on the input data. Learning from the selection of the data quality metrics and the selection for the remediation strategies is performed. A new customized machine learning model is generated based on the learning.

Abstract: Systems and methods of the present invention provide for servers generating a suggested domain name from a requested domain name via a modification using a variation algorithm using a first variation technique in a plurality of variation techniques. The server(s) render a user feedback interface including the suggested domain name and a first and second user interface control encoding a positive and negative response to the variation technique respectively. After decoding a response, the server(s) generate a user interface allowing the user to review which of the suggested domain names have been liked or added to a favorites list by other users.

Abstract: One embodiment provides a method, including: obtaining a dataset for use in building a machine-learning model; assessing a quality of the dataset, wherein the quality is assessed in view of an effect of the dataset on a performance of the machine-learning model, wherein the assessing comprises scoring the dataset with respect to each of a plurality of attributes of the dataset; for each of the plurality of attributes having a low quality score, providing at least one recommendation for increasing the quality of the dataset with respect to the attribute having a low quality score; and for each of the plurality of attributes having a low quality score, providing an explanation explaining a cause of the low quality score for the attribute having a low quality score.

Abstract: Techniques are disclosed for determining the presence of a particular person based on facial characteristics. For example, a device may include a first image in a reference set of images based on determining that a face shown in the first image is not covered by a face covering. A trained model of the device may determine a first set of characteristics from the first image, whereby the trained model is trained utilizing simulated face coverings to match a partially covered face of a particular person with a non-covered face of the particular person. The device may also determine a second set of characteristics associated with a face of a second person based on a second image. The trained model may then determine a score corresponding to a level of similarity between both sets of characteristics, and then determine whether the first person is the second person based on the score.

Abstract: One embodiment provides a method, including: obtaining predictions generated by a deployed machine-learning model; generating, from the obtained predictions, a validation dataset comprising a plurality of data points, wherein the validation dataset is generated in view of user preferences related to desired performance metrics of the deployed machine-learning model; ranking the plurality of data points of the validation dataset in view of the user preferences; determining the deployed machine-learning model needs to be retrained by comparing the ranked plurality of data points to a training dataset used to train the deployed machine-learning model and identifying, based upon the comparison, a quality of the deployed machine-learning model can be increased above a predetermined threshold; and retraining the deployed machine-learning model utilizing a new training dataset being based upon the validation dataset and the ranked plurality of data points.

Abstract: Provided is a system for contextual and positional parameterized record building. The system provides a mechanism to track any data record, information element or its parts to extract graphical/logical and contextual location in source documents and construct a data tree representation using a data representation module. The information extraction is enabled by a learning approach that incorporates graphical positional features into the model building process. A prediction architecture includes a gate network having a plurality of gates/neurons. Each gate/neuron is associated with an activation function based on a pre-built logic to perform a specific operation and operates on signals received at the gate/neuron. A record building module constructs one or more records based on candidate data values derived from the data tree representation using the prediction architecture. The candidate data values are wrapped in signals and fed to gates/neurons to construct the one or more records.

Abstract: In some embodiments, a computer-based, pickup and delivery system is configured to perform a pickup/delivery route optimization and dispatch optimized route information to client applications. The optimization may include optimizing the routes for servicing multiple delivery and/or pickup stops. The optimization may also include optimizing the route navigation along the routes from one location to another. The optimized navigation may include generating a destination mapping throughout, for example, an apartment complex or a business park, and determining conveniently located parking to be used to park delivery vehicles, conveniently located staircases, conveniently located elevators, access codes to the secured gates and lockboxes, and the like.

Abstract: In some embodiments, a computer-based, pickup and delivery system is configured to perform a pickup/delivery route optimization and dispatch optimized route information to client applications. The optimization may include optimizing the routes for servicing multiple delivery and/or pickup stops. The optimization may also include optimizing the route navigation along the routes from one location to another. The optimized navigation may include generating a destination mapping throughout, for example, an apartment complex or a business park, and determining conveniently located parking to be used to park delivery vehicles, conveniently located staircases, conveniently located elevators, access codes to the secured gates and lockboxes, and the like.

Abstract: A data storage system includes a storage medium including plurality of memory cells, a storage controller in communication with the storage medium, an electrical interface circuitry configured to pass data via a channel disposed between the storage medium and the storage controller; and voltage training circuitry configured to train a high-level output voltage (VOH) for each of a plurality of data lines of the channel. Training the VOH includes, for each of the plurality of data lines of the channel, calibrating a pull-up driver of the storage controller against an on-die termination circuit of the storage medium, calibrating a pull-down driver of the storage controller against the pull-up driver of the storage controller, and calibrating an on-die termination circuit of the storage controller against a pull-up driver of the storage medium.

Abstract: One embodiment provides a method, including: receiving a query from a user requesting assistance regarding instructions for performing a task; identifying, within steps of the instructions, words that can be visualized, wherein the identifying comprises identifying relationships between terms within the query to generate a step query; retrieving, for each of the steps, a plurality of images representing the identified words; identifying at least one object occurring within the plurality of images corresponding to more than one of the steps; selecting an image for each of the steps of the instructions, wherein the selecting an image comprises selecting an image for each step such that the identified at least one object is represented similarly in each selected image including the identified at least one object; and presenting the instructions as visualized instructions by presenting the selected images for each of the steps in order.

Abstract: Techniques are disclosed for providing a notification that a person is at a particular location. For example, a resident device may receive from a user device an image that shows a face of a first person, the image being captured by a first camera of the user device. The resident device may also receive, from another device having a second camera, a second image showing a portion of a face of a second person, the second camera having a viewable area showing a particular location. The resident device may determine a score indicating a level of similarity between a first set of characteristics associated with the face of the first person and a second set of characteristics associated with the face of a second person. The resident device may then provide to the user device a notification based on determining the score.

Abstract: The present invention relates to a process for preparing the Alectinib or a pharmaceutically acceptable salt thereof using lesser reaction steps and also eliminating expensive and time-consuming column chromatography. The invention also relates to novel polymorphic forms of Alectinib and Alectinib hydrochloride.

Abstract: According to one aspect, the subject matter described herein includes a method for service-specific group message delivery to narrowband Internet of things (IoT) devices. The method includes operations performed by a network node including at least one processor. The operations include receiving, on a first interface, a request for service-specific group message delivery to narrowband IoT devices supporting a specified service. The operations further include generating, by the network node, a message for service-specific group message delivery for transmission on a second interface, the message including a NB-IoT service information parameter for identifying a narrowband IoT service provided by the narrowband IoT devices supporting the specified service. The operations further include transmitting, from the network node and on the second interface the message for service-specific group message delivery to narrowband IoT devices.

Abstract: A differential pair of transistors receives input voltages. Current mirror transistors and cascode transistors are coupled to the differential pair of transistors. The differential pair of transistors is coupled between the cascode transistors and a tail transistor that draws a first bias current from a tail node, the first bias current having a magnitude equal to a product of a total bias current and a constant that is less than one. A first current source transistor draws a second bias current from a node between the differential pair and cascode transistors so the second bias current bypasses one transistor of the differential pair of transistors. The second bias current has a magnitude equal to a product of the total bias current and a value equal to one minus the constant. An output stage is biased by an output at node between the cascode transistors and the current mirror transistors.

Abstract: Various apparatuses, systems, methods, and media are disclosed to provide over-voltage protection to a data interface of a multi-protocol memory card that includes a first communication interface and a second communication interface that enable communication using different protocols. An interface voltage protection circuit includes a control circuit configured to receive a first supply voltage for operating the first communication interface. The interface voltage protection circuit further includes a pull-down circuit operatively connected with the control circuit, configured to pull down a voltage at a supply voltage rail of the second communication interface such that a voltage at a plurality of connector terminals of the second communication interface is lower than the first supply voltage.

Abstract: Systems and methods of the present invention provide for servers generating a suggested domain name from a requested domain name via a modification using a variation algorithm using a first variation technique in a plurality of variation techniques. The server(s) render a user feedback interface including the suggested domain name and a first and second user interface control encoding a positive and negative response to the variation technique respectively. After decoding a response, the server(s) generate a user interface allowing the user to review which of the suggested domain names have been liked or added to a favorites list by other users.