Abstract: Systems, methods, and other embodiments described herein relate to encouraging exploration within a computing application. In one embodiment, a system includes a processor and a memory storing machine-readable instructions. The instructions, when executed by the processor, cause the processor to identify when a user is stuck in a repetitive pattern within a computing application. When the user is stuck in the repetitive pattern the instructions, the instructions when executed by the processor, cause the processor to encourage the user to further explore the computing application by 1) intervening in user activity within the computing application and 2) presenting attention-capturing content that is targeted to the user and unrelated to a domain of content accessed by the user within the computing application.

Abstract: Systems, methods, and other embodiments described herein relate to enhancing and complementing a creative process of a user that includes generating and iterating visual content with an emphasis on diverse design ideas. In one embodiment, a method includes generating a plurality of texts that are related and semantically diverse based on one or more prompts using a generative language model and generating a plurality of images based on at least a portion of the plurality of texts using a generative visual model.

Abstract: A method comprises identifying a representation of first statistical information in a document, identifying descriptive text that describes the first statistical information, determining whether the descriptive text accurately describes the first statistical information, and upon determination that the descriptive text does not accurately describe the first statistical information, generating alternative descriptive text that accurately describes the first statistical information.

Abstract: Systems, methods, and other embodiments described herein relate to informing a user how a hypothetical electric vehicle would perform based on the driving habits of the user in a non-electric vehicle. In one embodiment, a method includes identifying an origin and a destination of a non-electric vehicle after the non-electric vehicle has arrived at the destination. The method includes determining energy information for a hypothetical electric vehicle traveling from the origin to the destination and outputting the energy information to the user.

Abstract: Systems, methods, and other embodiments described herein relate to informing a user how a hypothetical electric vehicle would perform based on the driving habits of the user in a non-electric vehicle. In one embodiment, a method includes identifying an origin and a destination of a non-electric vehicle after the non-electric vehicle has arrived at the destination. The method includes determining energy information for a hypothetical electric vehicle traveling from the origin to the destination and outputting the energy information to the user.

Abstract: In accordance with one embodiment of the present disclosure, a system includes a processor, a memory communicatively coupled to the processor, and machine-readable instructions stored in the memory. The machine-readable instructions, when executed by the processor, cause the processor to perform operations including receiving a multimedia file having a metadata and a text data, the multimedia file and the text data corresponding to a user. Operations also include determining a reliability status of the multimedia file based on the multimedia file, the text data, or combinations thereof. Operations further include determining a bias status of the user based on the multimedia file, the text data, or combinations thereof, and generating a report comprising the reliability status and the bias status of the multimedia file.

Abstract: A method comprises identifying a representation of first statistical information in a document, identifying descriptive text that describes the first statistical information, determining whether the descriptive text accurately describes the first statistical information, and upon determination that the descriptive text does not accurately describe the first statistical information, generating alternative descriptive text that accurately describes the first statistical information.