Abstract: A system for location-based player feedback for video games may include a data collection module, a pattern recognition module, a localization module and a feedback module. The collection module collects gameplay data for a video game. The pattern recognition module analyzes the collected gameplay data to identify a pattern associated with player difficulty. The localization module associates a game world location with the identified pattern. The feedback module presents a message to players at the game world location associated with the identified pattern requesting feedback. The data collection, pattern recognition, and localization modules may include neural networks trained with machine learning algorithms.

Abstract: A device, system, and non-transitory computer readable medium for providing a specialized agent comprising an application and a virtual assistant are disclosed. The virtual assistant includes a neural network trained with a machine learning algorithm to emulate a communication style of a character and wherein the virtual assistant is further trained on application metadata to a predict response to questions about the application.

Abstract: Aspects of the present disclosure relate to detecting churn in video games. Gameplay data for a video game is collected. The collected data is then analyzed with a first trained neural network to identify a pattern associated with one or more patterns associated with a player stopping playing the video game. The one or more patterns are analyzed with a second trained neural network to associate the one or more identified patterns with one or more reasons for the player stopping playing the video game. The one or more reasons are presented to a game developer. A system for detecting player churn in video games and methods for training such a system are also disclosed.

Abstract: Embodiments of the present disclosure may include a method for enhancing a video game trophy, including detecting an end game state to a video game corresponding to award of a trophy. Embodiments may also include extracting metadata relating to a structure of the end game state from gameplay information associated with award of the trophy. Embodiments may also include determining metrics for the end game state from the metadata. Embodiments may also include applying a drama engine to the metrics for the end game state to generate commentary data corresponding to commentary on the award of the trophy.

Abstract: A network-accessible cyber-threat security analytics service is configured to characterize and respond to a description that includes threat indicators (e.g., IOCs), and an initial severity. Enterprises register with the service by providing identifying information, such as industry, geographies, and the like. For each threat indicator, a query is sent to each of a set of one or more security knowledge bases, and at least some of the queries are scoped by the enterprise industry/geo information specified. The knowledge bases may vary but typically include: a managed security service, a cyber threat intelligence service, and a federated search engine that searches across one or more enterprise-connected data sources. Responses to the queries are collected. A response provides an indication whether the threat indicator identified in the query has been sighted in the knowledge base and the frequency.

Abstract: A network-accessible cyber-threat security analytics service is configured to characterize and respond to a description that includes threat indicators (e.g., IOCs), and an initial severity. Enterprises register with the service by providing identifying information, such as industry, geographies, and the like. For each threat indicator, a query is sent to each of a set of one or more security knowledge bases, and at least some of the queries are scoped by the enterprise industry/geo information specified. The knowledge bases may vary but typically include: a managed security service, a cyber threat intelligence service, and a federated search engine that searches across one or more enterprise-connected data sources. Responses to the queries are collected. A response provides an indication whether the threat indicator identified in the query has been sighted in the knowledge base and the frequency.