Abstract: Described herein is a graphics processor including a plurality of processing clusters coupled with a host interface, each processing cluster comprising a plurality of multiprocessors, the plurality of multiprocessors interconnected via a data interconnect, and each multiprocessor comprising sparse matrix multiply acceleration hardware including a systolic processing array with feedback inputs.

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: A device may receive text data associated with a chatbot, a live chat, or an interactive voice response system, and may preprocess the text data with one or more preprocessing techniques to generate preprocessed data and key intents. The device may convert the preprocessed data and the key intents into embeddings, and may combine the embeddings into an input vector. The device may process the input vector, with a language model, to identify relationships between words and phrases of the text data, and may process the input vector and the relationships, with a summary generation model, to generate a summary of the text data. The device may perform one or more actions based on the summary of the text data.

Abstract: A method for disoriented cell configuration includes collecting user data of a first set of cells, determining a disoriented cell of the first set of cells based on the user data, and changing a configuration of an antenna of the disoriented cell. Changing the configuration of the antenna of the disoriented cell includes changing the deployed azimuth of the antenna to be equal to the planned azimuth of the antenna. The user data includes received signal strength of a first set of users, geolocation data of the first set of users, or a cell identifier of a corresponding cell of the first set of cells. The disoriented cell of the first set of cells includes a node with an antenna with a deployed azimuth. The disoriented cell of the first set of cells corresponds to a filtered first set of qualified geolocation data of a filtered second set of users.

Abstract: One variation of a method for deploying a robotic system to scan inventory within a store includes: retrieving generic recommended baseline scan frequencies assigned to a set of product types stocked in the store; annotating a map of the store according to generic recommended baseline scan frequencies and locations of the set of product types in the store; overwriting baseline scan frequencies assigned to locations in the store based on inputs from the user; accessing elapsed times since capture of last images of slots in the store, assigned to these product types, by the robotic system; calculating urgency scores for imaging these slots proportional to differences between elapsed times and scan frequencies; and calculating a scan route traversable by the robotic system to preferentially locate, within the field of view of the robotic system, locations in the store associated with higher urgency scores over locations associated with lower urgency scores.

Abstract: A computer-implemented method includes generating a virtual learning environment comprising a three-dimensional interactive virtual environment. The virtual learning environment includes at least one student avatar related to a user and a second avatar that functions as an automated tutor. The automated tutor is powered by an AI processor and machine learning to generate interactive real-time responses in response to queries input by the user.

Abstract: The present teaching relates to personalized IVR communications with a customer at a geo-locale. A first set of transcripts of the current and historic communications involving the customer and a second set of transcripts of historic communications associated with the geo-locale are analyzed to compute a personalized contextual vector, a geo-localized contextual vector, and a current text vector. The computed vectors are used by a language model to generate a personalized and geo-locale aware prompt, which is used to generate an IVR communication and is sent to the customer as a response.

Abstract: A device may receive taxonomy data and may preprocess the taxonomy data with preprocessing techniques to generate preprocessed data. The device may process the taxonomy data, with a machine learning interpolative-based feedback model, to generate intents, features of each of the intents, and a taxonomy collection, and may process the taxonomy data, with a machine learning-based feedback model, to generate concepts or entities associated with the intents. The device may combine the intents, the features, the taxonomy collection, and the concepts or the entities to generate an association collection, and may train a machine learning model with the association collection and the preprocessed data to generate a trained machine learning model. The device may process text data, the taxonomy collection, and the association collection, with the trained machine learning model, to determine a crux of the text data, and may perform actions based on the crux of the text data.

Abstract: An acceptable coverage limit of a base station is identified by retrieving a list of cells that are served by a first base station. Grids are generated from the first base station to a predetermined threshold distance. A plurality of selected grids is identified between an acceptable coverage limit and a threshold distance. An average reference signal is determined from the plurality of selected grids. An evaluation is made regarding whether the first base station is the dominant cell in each of the selected grids. The number of grids the selected grids where the first base station is the dominant cell site is determined based on a dominant carrier threshold. A column of grids is determined where the first base station is not the dominant cell site. An acceptable coverage limit of the cell is determined based on the distance from the first base station and the column of grids.

Abstract: Examples described herein includes an apparatus comprising: a network interface configured to: receive a request to copy data from a local memory to a remote memory; based on a configuration that the network interface is to manage a cache store the data into the cache and record that the data is stored in the cache. In some examples, store the data in the cache comprises store most recently evicted data from the local memory into the cache. In some examples, the network interface is to store data evicted from the local memory that is not stored into the cache into one or more remote memories.

Abstract: Systems and methods for implementing geolocation-based key performance indicator (KPI) visualization in a polygon-defined geolocation area of a telecommunications network, the system includes: a memory storing instructions; a processor configured to execute the instructions to: generate pixel coordinates of a polygon circumscribing the area from a pixel map; determine, for each generated pixel coordinate of the polygon, pixel tiles that insect with the extracted pixel coordinate of the polygon from the pixel map; determine, for each pixel tile among the pixel tiles that intersect with the extracted pixel coordinate of the polygon, pixels that intersect with the polygon, and for each pixel among the pixels that intersect with the polygon, determine a color of the pixel, and determine, based on the color, a KPI value from a lookup table; output, for each pixel among the one or more pixels that intersect with the polygon, the KPI value.

Abstract: Disclosed are examples of systems, apparatus, methods and computer program products for sharing and publishing files. In one aspect, the database system can maintain a user database, a file database and a library. The database system can receive a first request initiated by a first user to share a first file with one or more second users and, responsive to the first request, enable a second set of one or more permissions for each of the second users. The database system also can receive a second request initiated by the first user to publish the first file to the library and, responsive to the second request, publish the first file to the library. The database system additionally can restrict access to the published file based on permissions associated with the library.

Abstract: Techniques for Cobalt Strike Beacon HTTP C2 heuristic detection are disclosed. In some embodiments, a system/process/computer program product for Cobalt Strike Beacon HTTP C2 heuristic detection includes monitoring HyperText Transfer Protocol (HTTP) network traffic at a firewall; prefiltering the monitored HTTP network traffic at the firewall to select a subset of the HTTP network traffic to forward to a cloud security service; determining whether the subset of the HTTP network traffic is associated with Cobalt Strike Beacon HTTP C2 traffic activity based on a plurality of heuristics; and performing an action in response to detecting the Cobalt Strike Beacon HTTP C2 traffic activity.

Abstract: An apparatus to facilitate utilizing structured sparsity in systolic arrays is disclosed. The apparatus includes a processor comprising a systolic array to receive data from a plurality of source registers, the data comprising unpacked source data, structured source data that is packed based on sparsity, and metadata corresponding to the structured source data; identify portions of the unpacked source data to multiply with the structured source data, the portions of the unpacked source data identified based on the metadata; and output, to a destination register, a result of multiplication of the portions of the unpacked source data and the structured source data.

Abstract: The present disclosure relates to a system, a method and a computer-readable medium for tagging live streaming data. The method includes generating a first intermediate tag for the live streaming program, generating a second intermediate tag for the live streaming program, and determining a final tag for the live streaming program according to the first intermediate tag and the second intermediate tag. The present disclosure can categorize contents in a more granular and precise way.

Abstract: Embodiments herein provide a method for prioritizing disoriented cells in a wireless network by an electronic device. The method includes determining a morphology factor of each disoriented cell of a plurality of disoriented cells. Further, the method includes determining a cell type of each disoriented cell of the plurality of disoriented cells based on the morphology factor of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a PRB utilization of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a number of RRC connected users of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a priority for each disoriented cell of the plurality of disoriented cells based on the morphology factor, the cell type, the PRB utilization, and the RRC connected users.

Abstract: Examples herein relate to a system capable of coupling to a remote memory pool, the system comprising: a memory controller and an interface to a connection, the interface coupled to the memory controller. In some examples, the interface is to translate a format of a memory access request to a format accepted by the memory controller and the memory controller is to provide the translated memory access request in a format accepted by a media. In some examples, a controller is to measure a number of addressable regions that are least accessed and cause at least one of the least accessed regions to be evicted to a local or remote memory device with relatively higher latency.

Abstract: A method and system for identifying radio transmission links for one or more cells within a network. The method includes receiving location data with respect to a cell within the network, determining if a first line of sight is substantially clear between the cell and a first nearest radio transmitter to the cell, upon determining that the first line of sight is substantially clear between the cell and the first nearest radio transmitter to the cell, determining if the first nearest radio transmitter is a first transmission medium location, and upon determining that the first nearest radio transmitter is the first transmission medium location, creating a radio transmission link between the cell and the first nearest radio transmitter to the cell.

Abstract: A system and a method for service gap identification is disclosed. The method comprises retrieving data on a network coverage area, dividing the network coverage area into a plurality of data sets, determining a first number of data sets of the plurality of data sets having a first number of poor coverage samples based on the retrieved data, and generating a service gap polygon based on the determined number of data sets having the first number of poor coverage samples.

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.