Abstract: A system may determine relevance prompts based on input documents and a relevance prompt template and may transmit the plurality of relevance prompts to a large language model for completion. The system may receive response messages including chunk relevance scores. The system may select a subset of the input documents based on the chunk relevance scores. The system may determine query response prompts including text from the selected input documents the natural language query, and a second set of natural language instructions to address the natural language query. The system may determine a response to the natural language query based on answers determined in response to the query response prompts.

Abstract: The present invention provides a terminal apparatus and an information management system that can facilitate to total sales and the like. A terminal apparatus communicably connected to a gaming machine in which a game can be played according to an inserted currency includes: a control device that executes an insertion process for converting an amount of the inserted currency into an amount of a specific currency based on a conversion rate for converting the amount of the inserted currency into the amount of the specific currency and a transmission device that transmits inserted currency information including currency information representing the type of the inserted currency and rate information representing the conversion rate used for conversion by the control device.

Abstract: A modular electronic gaming machine is provided. The modular electronic gaming machine includes a structural core including a gaming controller and a plurality of coupling mechanisms including a first coupling mechanism. The first coupling mechanism comprises an electrical connector. The first coupling mechanism is configured to couple to a first peripheral device to provide electrical power and structural support to the first peripheral device. The first coupling mechanism is configured to releasably couple to the first peripheral device.

Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. An evaluator module receives score(s) from the ML model indicating whether a particular message is spam or other undesired message and when the scores satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

Abstract: There is a need for more effective and efficient predictive data analysis. This need can be addressed by, for example, solutions for performing/executing hybrid input predictive data analysis.

Abstract: An apparatus for providing a processed audio signal representation on the basis of input audio signal representation configured to apply an un-windowing, in order to provide the processed audio signal representation on the basis of the input audio signal representation. The apparatus is configured to adapt the un-windowing in dependence on one or more signal characteristics and/or in dependence on one or more processing parameters used for a provision of the input audio signal representation.

Abstract: A model learning apparatus of the present invention has a question/answer-pair expansion unit and a translation-model learning unit. The question/answer-pair expansion unit generates expansion question/answer pairs by increasing the number of question/answer pairs associated with an index indicating that it sounds more like the character. The translation-model learning unit learns a translation model and a reverse translation model by using the expansion question/answer pairs. A response selecting apparatus of the present invention has a record unit, a document search unit, a score calculation unit, and a ranking unit. The record unit records question/answer pairs and the above described learned translation model. The score calculation unit obtains a translation likelihood which is a numerical value based on the probability of obtaining the answer from the input question and calculates a score of each of a search-result question/answer pair with respect to the input question.

Abstract: The quality of user experience (UX) of an information visualization depends on multiple diverse aspects. These include qualitative, quantitative, and contextual parameters that are unmeasurable and incomparable. Hence, measuring the UX of a visualization is challenging. The disclosure herein relates to a system and method that collects, processes, and analyzes a multiple diverse parameters to measure and profile the UX of a visualization. To accomplish this, the system collects data regarding the usage, effectiveness, and user perception of the visualization. The system creates a quantitative and comparable version of all these parameters to measure holistically the UX of the visualization.

Abstract: Techniques are disclosed for unlocking in-game content for a video game application. In one embodiment, the video game application may be operated by a user that is concurrently viewing media content. The video game application captures an audio signal from the concurrently-playing media content, performs content recognition on the captured audio signal, and determines whether to unlock one or more portions of in-game content based on the identified media content.

Abstract: Apparatuses, systems, and methods associated with an athletic trainer system for effective assessment of an athlete in real, or near real, time are disclosed herein. In embodiments, a sport marker may include wireless circuitry to establish a wireless connection with a mobile device and a processor coupled to the wireless circuitry. The processor may receive an indication of a location at which the sport marker is to be positioned, and cause instructions to be provided to a user to facilitate positioning of the sport marker at the location. Other embodiments may be described and/or claimed.

Abstract: In an exchange device for gaming chip and cash currency, the gaming chip has a color or indication of value on its external surface, the exchange device comprises: a cash currency insertion opening; a cash currency reading section for obtaining authenticity information and currency information of the cash currency inserted from the cash currency insertion opening; an inserted cash currency amount display section configured to display the amount of the cash currency acquired by the cash currency reading section; a gaming chip storage section configured to store the gaming chips by type; a gaming chip dispensing section configured to dispense the gaming chips corresponding to the amount of the cash currency acquired by the cash currency reading section from the gaming chip storing section; a take-out section in which the paid out gaming chips are placed; and a user recognition section configured to recognize a person wishing exchange.

Abstract: Techniques for automatically switching between chatbot skills in the same domain. In one particular aspect, a method is provided that includes receiving an utterance from a user within a chatbot session, where a current skill context is a first skill and a current group context is a first group, inputting the utterance into a candidate skills model for the first group, obtaining, using the candidate skills model, a ranking of skills within the first group, determining, based on the ranking of skills, a second skill is a highest ranked skill, changing the current skill context of the chatbot session to the second skill, inputting the utterance into a candidate flows model for the second skill, obtaining, using the candidate flows model, a ranking of intents within the second skill that match the utterance, and determining, based on the ranking of intents, an intent that is a highest ranked intent.

Abstract: A computer is configured to receive an input operation from a distribution user and connect to game circuitry that manages progress of a game, and to video distribution circuitry. The computer sends, to the video distribution circuitry, display control data for displaying, on a viewing user device, a video of the game. The computer receives, from the game circuitry, gift data that is based on a gift output request sent from the viewing user device. The computer displays a gift that is based on the gift data. An image corresponding to consecutive behaviors of the game is displayed on the screen of the game, when a specified command included in game operation data sent from a user device used by any of the users participating in the game and the gift output request sent from the viewing user device cause the consecutive behaviors to be established.

Abstract: It is possible to achieve high analysis accuracy on the whole irrespective of a coverage ratio of a morpheme dictionary. A morpheme prediction section 38 outputs a morpheme label string as a morphological analysis result of input text by inputting a resultant vector generated for each character by a vector combination section 36 into a series predictor and sequentially performing calculation. At this point, there is used the series predictor which is subjected to learning in advance such that a morpheme label string obtained by inputting a resultant vector in which a character vector and a morpheme information vector are combined and which is generated without being combined with the morpheme information vector with a specific probability into the series predictor and sequentially performing the calculation coincides with a morpheme label string of learning data.

Abstract: Methods and systems are presented for generating a machine learning model using enhanced gradient boosting techniques. The machine learning model is configured to receive inputs corresponding to a set of features and to produce an output based on the inputs. The machine learning model includes multiple layers, wherein each layer includes multiple models. To generate the machine learning model, multiple models are built and trained in parallel for each layer of the machine learning model. The multiple models use different subsets of features to produce corresponding output values. After a layer in built and trained, a collective error may be determined for the layer based on the output values from the different models in the layer. An additional layer of models may be added to the machine learning model to reduce the collective error of a previous layer.

Abstract: Method and system for determining a conversation system from a multi-conversation system using Artificial Intelligence (AI) is provided. The method includes receiving a user query associated with a domain and creating a hierarchical tree comprising a root node and a child node using a first pre-trained machine learning model. The method further includes traversing the hierarchical tree for a path between root node and one leaf child node to identify a topic hierarchy. The path is associated with a confidence score corresponding to mapping between user query and match data of nodes in the path. The method further includes determining a conversation system from the multi-conversation system for outputting data to answer the user query corresponding to one leaf child node of one path with a highest confidence score.

Abstract: Various implementations disclosed herein include devices, systems, and methods for providing domain-specific responses. In various implementations, a device includes a non-transitory memory and a processor coupled with the non-transitory memory. In some implementations, a method includes determining a user interest value indicative of a pharmaceutical article that the user is interested in learning about. In some implementations, the pharmaceutical article is associated with a set of media content items that provide information regarding the pharmaceutical article. In some implementations, the method includes setting a configuration parameter of a virtual agent to a configuration value that is based on the pharmaceutical article indicated by the user interest value.

Abstract: In an embodiment, communication data including an interaction between at least two individuals in an organization is received via at least two communication platforms. Content of the interaction is extracted to produce extracted content. A frequency of interaction and a type of interaction between the at least two individuals is determined based on the extracted content. A map representative of social interaction within the organization is generated. The map includes an indication of the frequency of interaction and the type of interaction between the at least two individuals. A new frequency of the interaction and a new type of interaction for at least a first individual of the at least two individuals with another individual is determined based on the map. A signal representing the new frequency of interaction and the new type of interaction with the other individual in the organization is provided to a compute device.

Abstract: Systems and methods are directed to improving speech signal recognition. A method includes obtaining a spatial audio signal; separating a continuous speech signal and a corresponding directivity flag signal for a sound source direction from the spatial audio signal; and combining the continuous speech signal with the corresponding directivity flag signal for the sound source direction to generate a speech activation detection signal for the sound source direction. Because the speech activation detection signal of the sound source direction is obtained by combining the continuous speech signal with the directivity flag signal of the sound source direction, the speech activation detection signal has directivity, reducing the interference from continuous speech signal in other sound source directions.

Abstract: A system, method, and wireless earpieces for implementing a virtual assistant. A request is received from a user to be implemented by wireless earpieces. A virtual assistant is executed on the wireless earpieces. An action is implemented to fulfill the request utilizing the virtual assistant. The wireless earpieces may be a set of wireless earpieces and the virtual assistant may be implemented independently by the wireless earpieces.