Abstract: A system is provided. The system may a memory device and a processor configured to: (1) receive user activity data from a plurality of venue systems associated with a plurality of different venues, the user activity data relating to user activity at gaming devices at the plurality of different venues; (2) identify the user activity as relating to a first user based on a linking between a stored value account associated with the first user and a plurality of loyalty accounts associated with the first user and with a corresponding one of the plurality of venue systems; (3) update global user activity records associated with the first user based on the received user activity data; and (4) transmit global user activity records associated with the first user to a first venue system of the plurality of venue systems that is associated with a first venue.

Abstract: Virtual account use in an online marketplace is described. Listings published to a multitude of client devices by the online marketplace include a first listing for a first item and a second listing for a second item. The first item is listed by a first user account and the second item is listed by a second user account. In connection with a third user account purchasing the first item, the online marketplace provides a first monetary compensation to the first user account from the third user account by updating a balance of a virtual account of the first user account to include the first monetary compensation. In connection with the first user account purchasing the second item via the second listing, the online marketplace provides at least a portion of the balance to the second user account directly from the virtual account as second monetary compensation.

Abstract: An interface provides answers to natural language user queries based upon real time data generated by live processes. The natural language queries are converted into a machine query syntax and the machine query syntax is provided to a large language model without sharing underlying data that is used to satisfy the natural language query by serving the data to the end user while, at the same time, masking the data from large language model, where interaction with the large language model is based upon a predefined syntax protocol. A reply is a received from the large language model in the same syntax and the reply is used to create an output to be served to the end user and/or to execute a functionality.

Abstract: A method of controlling an electronic apparatus for distinguishing original voice from synthetic voice in an Internet of Things (IoT) environment includes obtaining a voice of a user and environmental factors associated with a user-initiated request, extracting a plurality of features from the voice of the user and the environmental factors, obtaining a score using the plurality of features and ranking the score based on a type of the voice of the user and the environmental factors, and determining the voice of the user as the original voice or the synthetic voice by comparing the ranked score with a dynamic threshold value.

Abstract: Methods, apparatus, and processor-readable storage media for predicting task execution efforts using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining intent information associated with at least a portion of a task by processing data related to the task using at least a first set of artificial intelligence techniques; determining task execution workflow data based at least in part on the intent information associated with at least a portion of the task; predicting one or more efforts associated with executing the task by processing at least a portion of the task execution workflow data using at least a second set of artificial intelligence techniques; and performing one or more automated actions based at least in part on at least one of the one or more predicted efforts associated with executing the task.

Abstract: An interface provides answers to natural language user queries based upon real time data generated by live processes. The natural language queries are converted into a machine query syntax and the machine query syntax is provided to a large language model without sharing underlying data that is used to satisfy the natural language query by serving the data to the end user while, at the same time, masking the data from large language model, where interaction with the large language model is based upon a predefined syntax protocol. A reply is a received from the large language model in the same syntax and the reply is used to create an output to be served to the end user and/or to execute a functionality.

Abstract: A system and method for facilitating communication between a control server and robotic devices are provided. An integration engine of the system identifies protocol schemes and message schemes that are supported by the control server and robotic devices. When the protocol schemes and message schemes of the control server and the robotic devices are same, the integration engine facilitates transmission and reception of instructions between the control server and the robotic devices through identified communication interfaces. When the protocol schemes and message schemes of the control server and the robotic devices are different, the integration engine translates the protocol schemes and message schemes that are received from one of the control server and the robotic devices to facilitate communication between the control server and the robotic devices through identified communication interfaces.

Abstract: Systems, apparatus, articles of manufacture (e.g., computer readable media), and methods are disclosed to implement task-oriented communications for networked control systems. Examples disclosed herein are to determine a criticality of a data packet of a data flow, different packets of the data flow having different respective criticalities, the data flow associated with an application. Disclosed examples are also to perform a quality of service (QoS) operation associated with the data packet based on the criticality of the data packet. For example, the QoS operation is to be performed after generation of the data packet and before reception of the data packet by a device that is to implement the application.

Abstract: An interface provides answers to natural language user queries based upon real time data generated by live processes. The natural language queries are converted into a machine query syntax and the machine query syntax is provided to a large language model without sharing underlying data that is used to satisfy the natural language query by serving the data to the end user while, at the same time, masking the data from large language model, where interaction with the large language model is based upon a predefined syntax protocol. A reply isa received from the large language model in the same syntax and the reply is used to create an output to be served to the end user and/or to execute a functionality.

Abstract: Systems and methods for identifying fraudulent activity in NFT exchanges are described. Embodiments of the present disclosure obtain transaction data for non-fungible tokens (NFTs) and generate a transaction graph based on the transaction data. The transaction graph includes nodes corresponding to blockchain addresses and nodes corresponding to individual NFTs. Embodiments additionally identify a cycle of the transaction graph, predict a fraudulent activity based on the cycle using a machine learning model, and transmit an alert to a user indicating the predicted fraudulent activity.

Abstract: A method of commissioning a lighting device in a lighting system comprises receiving (121) a first message from a mobile device (41) on the lighting device (11,13). The first message indicates that the mobile device intends to scan, using the first wireless communication technology, for any lighting device which can be commissioned using the first wireless communication technology. The method further comprises determining (123) whether the lighting device can be commissioned using the first wireless communication technology and controlling (125) a light source to render a light effect upon receipt of the message in dependence on the determination whether the lighting device can be commissioned via the first wireless communication technology. The method also comprises receiving (127) a second message from the mobile device and responding by transmitting (129) a third message confirming that the mobile device can control the lighting device, using the first wireless communication technology.

Abstract: A method for handling network functionalities of a wireless network by a base station. The method may include receiving parameters from a plurality of User Equipments (UEs) in the wireless network. The method may include identifying a plurality of UE clusters within the cell of the base station based on the parameters. The method may include detecting a network service requirement of a UE cluster in the plurality of UE clusters. The method may include determining whether the UE cluster in the plurality of UE clusters meets a threshold condition based on the parameters. The method may include activating a network functionality for the UE cluster based on the network service requirement of the UE cluster upon determining that the UE cluster in the plurality of UE clusters meets the threshold condition.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to manage network slices. An example apparatus includes interface circuitry to acquire network information, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to reserve first network slices to satisfy service level objectives (SLOs) corresponding to first nodes, reserve second network slices to satisfy SLOs corresponding to second nodes, and reconfigure the first network slices to accept network communications from the second nodes when the network communications from the second nodes exceed a performance metric threshold.

Abstract: A method comprises collecting parameters corresponding to processing by a first application programming interface of at least one application programming interface transaction, analyzing the parameters using one or more machine learning algorithms, and predicting, based at least in part on the analyzing, whether the at least one application programming interface transaction is anomalous. In the method, the first application programming interface is designated as being in an anomalous state responsive to predicting that the at least one application programming interface transaction is anomalous. One or more application programming interface requests for the first application programming interface are routed to a second application programming interface responsive to the anomalous state designation.

Abstract: A server platform in a cloud computing system is determined to be in an unused state and a request from a remote computing system outside the data center system is received to control hardware of at least one of the server platforms of the cloud computing systems. A bare-metal-as-is (BMAI) session is initiated for the remote computing system to use the server platform based on the unused state, wherein exclusive control of at least a portion of hardware of the server platform is temporarily handed over to the remote computing system in the BMAI session. Control of the portion of the hardware of the server platform is reclaimed based on an end of the BMAI session.

Abstract: Data that is to be processed by a particular service executed by a first edge computing device in an application, is analyzed to determine characteristics of the data. An opportunity to replicate the particular service on a plurality of edge computing devices is determined based on characteristics of the data. A second edge computing device is determined to be available to execute a replicated instance of the particular service. Replication of the particular service is initiated on a plurality of edge computing devices including the second edge computing device. An output of an instance of the particular service executed on the first edge computing device and an output of the replicated instance of the particular service executed on the second edge computing device are combined to form a single output for the particular service.

Abstract: An apparatus is described. The apparatus includes a memory module. The memory module includes a memory. The memory module includes function execution circuitry. The function execution circuitry is configurable to execute a producer function and a consumer function of a multi-function process. The memory module includes an interface to be coupled to a memory controller.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving information regarding a new sales opportunity from another computing device and determining one or more relevant features from the information regarding the new sales opportunity, the one or more relevant features influencing predictions of an opportunity outcome and an opportunity duration. The method also includes, by the computing device, generating, using a multi-target machine learning (ML) model, a first prediction of an opportunity outcome of the new sales opportunity and a second prediction of an opportunity duration of the new sales opportunity based on the determined one or more relevant features. The method may also include, by the computing device, sending the first and second predictions to the another computing device.

Abstract: A bio-sensing device having a photoelectric element is disclosed. The bio-sensing device includes an infrared pulse generator configured to irradiate infrared pulsed light to a target; the photoelectric element configured to receive the infrared pulsed light which has transmitted through the target, and to generate photocurrent based on the received light; and a sensing element configured to measure a magnitude of either a first peak current of the photocurrent corresponding to a leading edge of the infrared pulsed light or a second peak current of the photocurrent corresponding to a trailing edge of the infrared pulsed light, and to analyze the target based on the measurement result.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes receiving a new application programming interface (API) specification and extracting one or more keywords from the new API specification. The method also includes identifying, using a trained machine learning (ML) model, one or more existing API specifications that are similar to the new API specification based on the one or more keywords from the new API specification and, responsive to the identification, outputting information regarding the one or more existing API specifications that are similar to the new API specification.