Abstract: Techniques are disclosed for determining whether to include a bodyprint in a cluster of bodyprints associated with a recognized person. For example, a device performs facial recognition to identify the identity of a first person. The device also identifies and stores physical characteristic information of the first person, the stored information associated with the identity of the first person based on the recognized face. Subsequently, the device receives a second video feed showing an image of a second person whose face is also determined to be recognized by the device. The device then generates a quality score for physical characteristics in the image of the user. The device can then add the image with the physical characteristics to a cluster of images associated with the person if the quality score is above a threshold, or discard the image if not.

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: 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: A method, computer system, and a computer program product for generating deep learning model insights using provenance data is provided. Embodiments of the present invention may include collecting provenance data. Embodiments of the present invention may include generating model insights based on the collected provenance data. Embodiments of the present invention may include generating a training model based on the generated model insights. Embodiments of the present invention may include reducing the training model size. Embodiments of the present invention may include creating a final trained model.

Abstract: Snapback ESD protection circuits that include an Input/Output pad, a ground source, a first and a second NMOS transistor, and trigger circuit, pad bias circuit, and gate bias circuit. The first transistor drain connects to the pad. The second transistor drain connects to the first transistor source. The second transistor source connects to ground. The trigger circuit connects to the pad and a reference voltage to detect an ESD event at the pad. The pad bias circuit connects to the pad, the trigger circuit, ground, and the reference voltage to manage a voltage level for the reference voltage. The gate bias circuit connects to the reference voltage, a supply voltage, ground, and the gates of the first and second transistor to dynamically control the voltage of each gate of the first and a second NMOS transistor.

Abstract: In a gaming machine, a first display area displays a plurality of wager options. A wager selection mechanism is operable by a player to select more than one of the wager options to be activated concurrently and to individually select wager amounts to apply to each selected wager option. A second display area displays a game outcome of a spinning reel game of chance. A game outcome evaluator evaluates the game outcome based on each of the concurrently activated wager options and respective ones of the individually selected wager amounts.

Abstract: A method for establishing message priority in network slices based on quality of service (QoS) parameters includes receiving, by a network slice configuration service provider entity and from a network slice management service provider entity, a network slice creation notification message containing at least a QoS profile corresponding to a created network slice, utilizing the QoS profile to derive a service based interface (SBI) message priority (SMP) associated with the network slice, and providing the SMP to a requesting access and mobility management function (AMF) entity in response to receiving a network slice selection request message from the AMF entity, wherein the AMF entity assigns the SMP level value to network traffic directed to the network slice.

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: Techniques are disclosed for providing a notification indicating an identity of a first person based on face-associated body characteristics. For example, a device performs facial recognition to identify the identity of the first person shown in a first video feed. The device also identifies and stores physical characteristic information of the first person from the first video feed, the stored information associated with the identity of the first person based on the recognized face. Subsequently, the device receives a second video feed showing a second person whose face is determined to not be recognized by the device. The device compares the stored physical characteristic information of the first person with additional physical characteristic information of the second person shown in the second video feed. Based on the comparison, the device provides a notification indicating whether the identity of the second person corresponds to the identity of the first person.

Abstract: A method, a system, and a computer program product are provided for analyzing an instructional video. Video data of an instructional video is analyzed to form multiple units of work. Each unit of work is a respective grouping of video frames of the instructional video based on a respective logical combination of activities associated therewith. Each unit of work is analyzed to produce a respective action graph of activities included in the unit of work, the respective action graph indicating interdependencies among the activities included therein. Interdependencies among activities across the units of work are determined to form a critical path graph. A received query is processed to provide troubleshooting assistance with respect to the instructional video based on the units of work, the action graphs, the critical path graph, and a knowledge base including information related to a subject matter of the instructional video.

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: A method is for operating an electronic device formed by a low dropout regulator (LDO) having an output coupled to a first conduction terminal of a transistor, with a second conduction terminal of the transistor being coupled to an output node. The electronic device is turned on by turning on the LDO, removing a DC bias from the second conduction terminal of the transistor by opening a first switch that selectively couples the second conduction terminal of the transistor to a supply node through a first diode coupled transistor and by opening a second switch that selectively couples the second conduction terminal of the transistor to a ground node through a second diode coupled transistor, and turning on the transistor. The electronic device is turned off by turning off the transistor, forming the DC bias at the second conduction terminal of the transistor, and turning off the LDO.

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: 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 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.