Abstract: An illustrative intent classification engine may access a text transcript and determine one or more features associated with the text transcript. Based on the one or more features, the intent classification engine may generate an aggregate embedding vector and provide the aggregate embedding vector as an input to a trained model configured to output an intent classification. Corresponding methods and systems are also disclosed.

Abstract: Systems and methods for describing a composition of an article of manufacture are disclosed. In one aspect, a method includes receiving article composition data for an article of manufacture that identifies a set of parts of the article, a stated composition for each part of the set of parts, and a physical quantity of the stated composition. The method further includes classifying the stated composition of each part of the set of parts into a normalized composition that includes a set of normalized chemicals. The method further includes outputting an aggregated physical quantity of each normalized chemical for the set of parts of the article. The method can include classifying a normalized composition of each part into a material category within a hierarchical taxonomy based on the set of normalized chemicals of that normalized composition and outputting an aggregated physical quantity of each material category for the parts.

Abstract: The present teaching relates to customer service with AI-based automated auditing on agent fraud. Real-time features of a communication between an agent and a customer are obtained. To detect agent fraud, a batch feature vector is computed based on real-time features extracted from communications involving the agent and accumulated over a batch period. Agent fraud is detected based on a model and the detection result is used to audit the agent for service performance.

Abstract: A high strength and biodegradable polymer film comprising a blend of a polylactic acid (PLA) copolymer, a flexible polymer linker, and optionally a compostable polyester segment is disclosed. Upon biaxially stretching, the disclosed polymer film exhibits unexpectedly high tensile strengths and high impact strengths while providing high flexibility as measured according to various standards such as ASTM D882, D3420, and D1709. The disclosed films are formulated to meet common industrial composting standards as defined by ASTM D6400, EN 13432, and ISO 17088, as well as exhibit accelerated biodegradation rates at lower temperatures for home composting applications.

Abstract: Provided are a system and method of decongesting a highly utilized cell within a sector of a wireless telecommunications network. The method includes receiving a set of reference samples taken from a plurality of points within the wireless telecommunications network within a predetermined time period, calculating, based on the set of reference samples, a first data volume comprising a sum of a total data volume for all highly utilized cells within the sector containing the highly utilized cell, calculating, based on the set of reference samples, a first total expected traffic offload value, determining whether the first total expected traffic offload value is greater than a predetermined percentage of the first data volume, and based on determining that the first total expected traffic offload value is greater than the predetermined percentage of the first data volume, generating an output for decongesting the cell.

Abstract: A method includes receiving a coverage hole mitigation work order (CHMWO) created by a project work order (PWO) administrator; receiving assignment of the CHMWO from the PWO administrator to a PWO requester that is included in a geographic location of the CHMWO; receiving coverage hole optimization for the CHMWO from the PWO requester; and closing the CHMWO in response to the coverage hole optimization being validated.

Abstract: A method for service gap mitigation via tilt recommendation may include: identifying a candidate cell; generating boundaries of a service gap; determining a best server plot of the candidate cell; determining geo-located samples of the candidate cell; categorizing the candidate cell based on the boundaries of the service gap and at least one of the best server plot or the geo-located samples; and calculating an electronic tilt based on the categorization.

Abstract: Methods and systems for optimizing antenna tilt in a cell site of a radio access network (RAN), the system includes: a memory storing instructions; and a processor configured to execute the instructions to: obtain input data for a source cell and for neighboring cells thereof at a plurality of predetermined geolocations; determine an overlap percentage from the input data obtained at the plurality of predetermined geolocations; determine, for the source cell, at least one TA percentage for at least one distance range from a center of the source cell; determine, based on the determined overlap percentage and the determined at least one TA percentage, that the source cell is outside a predetermined cell coverage area; and recommend, based on the determining that the source cell is outside the predetermined cell coverage area, adjustment of the antenna tilt for the source cell to meet the predetermined cell coverage area.

Abstract: A method of identifying call muting areas includes dividing a network cluster into a plurality of grids, determining a call muting percentage of at least one first grid of the plurality of grids, determining whether the call muting percentage of the at least one first grid is greater than a predetermined call muting percentage threshold, and generating at least one call muting polygon including at least a portion of the at least one first grid based on determining that the call muting percentage of the at least one first grid is greater than the predetermined call muting percentage threshold

Abstract: Embodiments herein provide a method for handling redeployment of an existing application build. The method includes receiving a build creation command message for redeployment of the existing application build. Further, the method includes determining availability of a module input, a client input, a workspace input, and an application input in the build creation command message. Further, the method includes determining specific chunks of the existing application build for redeployment based on the module input, the client input, the workspace input, and the application input available in the build creation command message. Further, the method includes redeploying the specific chunks of the existing application build.

Abstract: Embodiments herein provide a method for prioritizing booming cells in a wireless network by an electronic device. The method includes receiving information about a plurality of booming cells. Further, the method includes determining a priority for each booming cell of the plurality of booming cells based on a morphology factor, a PRB utilization factor, a RRC connected users factor, a booming distance, and a user density factor. Further, the method includes prioritizing the plurality of booming cells for mitigation based on the priority for each booming cell of the plurality of booming cells.

Abstract: Embodiments herein provide a method for prioritizing service gaps in a wireless network (1000) by an electronic device (100). The method includes receiving information about a plurality of service gaps. Further, the method includes determining a priority for each service gap of the plurality of service gaps based on an area factor, a morphology factor, a RSRP bad samples factor, and a user density factor of each service gap of the plurality of service gaps. Further, the method includes prioritizing the plurality of service gaps for mitigation based on the priority for each service gap of the plurality of service gaps.

Abstract: One variation of a method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

Abstract: The present teaching relates to conduct persona-adaptive communications with a customer at a geo-locale. Transcripts of a current and historic communications involving the customer are used to characterize the persona of the customer. Transcripts of historic communications with customers at the geo-locale are used to characterize the persona of the geo-locale. Current persona of the customer exhibited in the current communication is combined with the customer's persona and the geo-locale's persona to compute a response input vector, A language model generates, based on the response input vector, a persona-adaptive response, which is then sent to the customer a response.

Abstract: Systems, methods, and computer program products are provided herein for image authenticated data transfers between electronic devices in a distributed network. An example method includes receiving a request for data transfer from a first user device associated with a first user that defines one or more data transfer parameters and determining a second user associated with the data transfer request based upon the one or more data transfer parameters. The method also includes determining a verifiable image object associated with the second user that includes at least a digital representation of the second user. The method further includes authenticating the data transfer between the first user device and a second user device associated with the second user in response to an authentication operation by the first user based upon the verifiable image object.

Abstract: Systems, computer program products, and methods are described herein for detecting user account misappropriation attempts using artificial intelligence (AI) in an electronic network. The present invention is configured to access a user account database, wherein the user account database comprises at least one user account data; identify a current data transmission associated with a user account, wherein the user account is associated with the user account database; apply the current data transmission to a user account misappropriation AI engine; determine, by the user account misappropriation AI engine, a misappropriation likelihood of the current data transmission; generate a user account report based on the current data transmission and the misappropriation likelihood, the user account report comprising a user account identifier associated with the user account; and generate, based on the misappropriation likelihood, a misappropriation attempt attribute for the current data transmission.

Abstract: Examples described herein and includes at least one processor and a direct memory access (DMA) device. In some examples, the DMA device is to: access a command from a memory region allocated to receive commands for execution by the DMA device, wherein the command is to access content from a local memory device or remote memory node. In some examples, the DMA device is to: determine if the content is stored in a local memory device or a remote memory node based on a configuration that indicates whether a source address refers to a memory address associated with the local memory device or the remote memory node and whether a destination address refers to a memory address associated with the local memory device or the remote memory node. In some examples, the DMA device is to: copy the content from a local memory device or copy the content to the local memory device using a memory interface.

Abstract: Examples described herein includes a network interface controller comprising a memory interface and a network interface, the network interface controller configurable to provide access to local memory and remote memory to a requester, wherein the network interface controller is configured with an amount of memory of different memory access speeds for allocation to one or more requesters. In some examples, the network interface controller is to grant or deny a memory allocation request from a requester based on a configuration of an amount of memory for different memory access speeds for allocation to the requester. In some examples, the network interface controller is to grant or deny a memory access request from a requester based on a configuration of memory allocated to the requester. In some examples, the network interface controller is to regulate quality of service of memory access requests from requesters.

Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot-assigned to a product type-on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.

Abstract: This invention relates to predictive generation of data tokens and visual presentation based on device geolocation. It generates a user interface and transmits instructions to a user device for initiating actions due to proximity. Using GPS data from the user device, it determines proximity to a second device. The user device then receives instructions to display a transaction option with the second device. Upon receiving user instructions, the resource transaction is processed without needing more identifiers for the second device or its associated resource account.