Abstract: A system is configurable to: (i) present a visual representation of a physical system that comprises a plurality of physical components, wherein the visual representation comprises a plurality of 2D or 3D components that each correspond to a respective physical component of the plurality of physical components of the physical system; (ii) present a model-based systems engineering (MBSE) hierarchy representation that comprises a plurality of labels and a relational structure indicating one or more relationships among the labels defined by MBSE artifacts of an MBSE model of the physical system, wherein each label corresponds to a respective 2D or 3D component of the visual representation of the physical system; (iii) receive user input directed to a particular label that corresponds to a particular 2D or 3D component; and (iv) navigate to and visually emphasize the particular 2D or 3D component within the presentation of the visual representation.

Abstract: Techniques for evaluating images are disclosed. An image is displayed. Data corresponding to a gaze fixation of a user who is viewing the image is obtained. An image artifact is identified based on the gaze fixation. The image artifact is at a location in the image where the gaze fixation occurred. A recording of the user's utterance is accessed. This recording is recorded during an overlapping time period with when the gaze fixation occurred. The recording is transcribed into text, which is then parsed. A key term is extracted from the parsed text. A determination is made as to whether the key term corresponds to the image artifact identified based on the gaze fixation.

Abstract: A system for facilitating detection of defects in materials is configurable to: (i) access a set of input images comprising a plurality of cross-sectional images providing a representation of a component; and (ii) process the set of input images using an off-nominal anomaly detection model by, for each particular cross-sectional image of the plurality of cross-sectional images: (a) generate a set of patch embedding vectors comprising a patch embedding vector for each image patch of the particular cross-sectional image; (b) generate a set of difference metrics based on the set of patch embedding vectors and a probabilistic representation of a nominal component; and (c) determine a set of anomaly scores for the particular cross-sectional image based on the set of difference metrics.

Abstract: A system for facilitating analysis of anatomical structures is configurable to: (i) access a subject-specific 3D representation of one or more anatomical structures, the subject-specific 3D representation being generated based on a set of 2D images of a subject; (ii) access an idealized 3D representation of the one or more anatomical structures; and (iii) simultaneously display the subject-specific 3D representation and the idealized 3D representation in navigable form within a virtual 3D environment.

Abstract: Techniques for evaluating images are disclosed. An image is displayed. Data corresponding to a gaze fixation of a user who is viewing the image is obtained. An image artifact is identified based on the gaze fixation. The image artifact is at a location in the image where the gaze fixation occurred. A recording of the user's utterance is accessed. This recording is recorded during an overlapping time period with when the gaze fixation occurred. The recording is transcribed into text, which is then parsed. A key term is extracted from the parsed text. A determination is made as to whether the key term corresponds to the image artifact identified based on the gaze fixation.

Abstract: A semi-automated vessel-in-vessel beer brewing and precision timed cooking system is disclosed. This system enables automated, hands-off brewing from strike to boil, more efficient sparging, and precision timed cooking, and can be built as an add-on to existing vessel-in-vessel systems.