Abstract: Systems, methods, and software applications for using machine learning to auto-generate presentations, slides, and answers are described in the present disclosure. According to one embodiment, among many, an artificial intelligence assistant computing facility is configured to perform machine learning and store instructions that are executable by a processing device to enable a user to create a new slide presentation, find relevant slides, discover related content, generate answers to questions from existing slides, accept text and image suggestions to personalize slides, and view assembled slides and presentations. The artificial intelligence assistant computing facility comprises logic adapted to perform an ensemble of machine learning models to work in tandem for classifying, editing, and generating content.

Abstract: A method includes obtaining an image of a damaged vehicle and a three-dimensional (3D) vehicle model associated with the damaged vehicle. The method also includes identifying one or more damage markers that indicate damage to the damaged vehicle based on the image. The method further includes identifying a pose of the damaged vehicle within the image. In addition, the method includes mapping the one or more damage markers onto the 3D vehicle model based on the identified pose, where the one or more mapped damage markers identify one or more locations and dimensions of the damage to the damaged vehicle on the 3D vehicle model. In some cases, one or more trained machine learning models may be used to identify the one or more damage markers, identify the pose of the damaged vehicle within the image, and/or map the one or more damage markers onto the 3D vehicle model.