Abstract: A system includes: a model configured to determine uncertainties of results of a task based on images, respectively; a classification module configured to selectively classify the images into a first category or a second category based on the uncertainties, respectively; an embedding module configured to: determine first embeddings based on the images using an embedding function; determine second embeddings for textual explanations of errors, respectively, using the embedding function; a clustering module configured to: cluster first ones of the first embeddings for images classified in the first category into first clusters; cluster second ones of the first embeddings for images classified in the second category into second clusters; and an explanation module configured to: determine similarities between each of the first and second clusters and each of the textual explanations; and determine k of the textual explanations for one of the second clusters based on the similarities.

Abstract: This invention generally relates to a method for preparing and transferring a monolayer or thin film. In particular this present invention is an improved version of the Langmuir-Schaefer technique for preparing and transferring a monolayer or thin film, incorporating in situ thermal control of the substrate during the transfer process.

Abstract: This invention generally relates to a device for preparing and transferring a monolayer or thin film. In particular this present invention is a device for preparing and transferring a monolayer or thin film to a substrate using an improved version of the Langmuir-Schaefer technique, which incorporates in situ thermal control, for instance to heat the supporting substrate before and/or during the transfer process.

Abstract: A system and method for training a parametric machine learning system, include compressing a first data; storing the compressed first data; reconstructing a first selected amount of the stored compressed first data; providing a machine learning system; and training the machine learning system with the reconstructed first data and optionally raw data.

Abstract: This invention generally relates to a method for preparing and transferring a monolayer or thin film. In particular this present invention is an improved version of the Langmuir-Schaefer technique for preparing and transferring a monolayer or thin film, incorporating in situ thermal control of the substrate during the transfer process.

Abstract: This invention generally relates to a method for preparing and transferring a monolayer or thin film. In particular this present invention is an improved version of the Langmuir-Schaefer technique for preparing and transferring a monolayer or thin film, incorporating in situ thermal control of the substrate during the transfer process.

Abstract: This invention generally relates to a device for preparing and transferring a monolayer or thin film. In particular this present invention is a device for preparing and transferring a monolayer or thin film to a substrate using an improved version of the Langmuir-Schaefer technique, which incorporates in situ thermal control, for instance to heat the supporting substrate before and/or during the transfer process.

Abstract: This invention generally relates to a method for preparing and transferring a monolayer or thin film. In particular this present invention is an improved version of the Langmuir-Schaefer technique for preparing and transferring a monolayer or thin film, incorporating in situ thermal control of the substrate during the transfer process.