Abstract: Aspects of the present invention relate to a system including a transformer encoder with a compression layer, a transformer decoder with an expansion layer, the transformer encoder configured to transform one or more inputs into a control latent vector, a noise injection element configured to add noise to the control latent vector to create a noisy latent vector, a weighting element configured to add one or more weightings to the control latent vector to create an exact latent vector, and the transformer decoder configured to transform the noisy latent vector and exact latent vector into an output.

Abstract: The disclosure relates to technology within an autonomous vehicle for interacting with passengers to provide information about their surroundings as they travel within the autonomous vehicle. In one example, the system may automatically detect and push information about points of interest in the vicinity of the vehicle to the vehicle passengers. In another example, the system provides information about points of interest around the autonomous vehicle in response to physical and/or verbal cues from a passenger in the autonomous vehicle.

Abstract: Methods and apparatus for providing metrics for the quality, attributes, and relationships of music including AI-generated music. Music classification and visualization methods are described that involve transforming music files into graphical representations, generating a similarity matrix for the music files using structural similarity techniques, and generating visualizations of the relationships among the music files using multidimensional scaling techniques. Qualitative scoring methods for AI-generated music are described that involve classifying the AI-generated music using a multi-genre classifier, generating a similarity metric for the AI-generated music to other genres using structural similarity techniques and multidimensional scaling techniques, and generating a qualitative score for the music using confidence in the classification in combination with the similarity metric.