Abstract: The disclosed forming apparatus includes a frame. The frame defines a vertical axis, a horizontal axis, and a longitudinal axis. A carriage is movably connected to the frame. A first stomp foot is movably connected to the carriage such that it may move along the vertical axis. A first end effector is movably connected to the carriage. The first end effector is controlled by an actuator. The disclosed method for forming a composite part includes applying at least one ply of composite material over a forming surface of a forming tool and deforming the at least one ply of composite material over the forming surface of the forming tool with a forming apparatus.

Abstract: A system is described for generating diagnostic information from a video sequence of ultrasound images acquired in “blind sweeps”, i.e., without operator seeing ultrasound images as they are acquired. We disclose two different types of machine learning systems for predicting diagnostic information: a “Temporal Accumulation” system and a “3-D Modeling Component” system. These machine learning systems could be implemented in several possible ways: using just one or the other of them in any given implementation, or using both of them in combination. We also disclose a computing system which implements (a) an image selection system including at least one machine learning model trained to identify clinically suitable images from the sequence of ultrasound images and (b) an image diagnosis/measurement system including of one or more machine learning models, configured to obtain the clinically suitable images identified by the image selection system and further process such images to predict health states.