Abstract: An exterior rear view mirror assembly for road vehicles includes a frame structure configured to be attached to a vehicle body, a case bezel for casing a rear mirror glass and attaching to the frame structure, and a motor adaptor to couple the frame structure with a mirror actuator. The motor adaptor includes a first form-coding element and the case bezel includes a second form-coding element, which are formed and arranged such that they engage with each other when the case bezel and the motor adaptor are attached to the frame structure such that the case bezel and the motor adaptor cannot be assembled if the first and second form-coding elements do not correspond. The configuration provides a corresponding assembly system for left and right hand drive road vehicles and a method of manufacturing.

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.

Abstract: An exterior rear view mirror assembly for road vehicles includes a frame structure configured to be attached to a vehicle body, a case bezel for casing a rear mirror glass and attaching to the frame structure, and a motor adaptor to couple the frame structure with a mirror actuator. The motor adaptor includes a first form-coding element and the case bezel includes a second form-coding element, which are formed and arranged such that they engage with each other when the case bezel and the motor adaptor are attached to the frame structure such that the case bezel and the motor adaptor cannot be assembled if the first and second form-coding elements do not correspond. The configuration provides a corresponding assembly system for left and right hand drive road vehicles and a method of manufacturing.

Abstract: Systems and methods for the crowdsourced clustering of data items in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a method for determining categories for a set of source data includes obtaining a set of source data, determining a plurality of subsets of the source data, where a subset of the source data includes a plurality of pieces of source data in the set of source data, generating a set of pairwise annotations for the pieces of source data in each subset of source data, clustering the set of source data into related subsets of source data based on the sets of pairwise labels for each subset of source data, and identifying a category for each related subset of source data based on the clusterings of source data and the source data metadata for the pieces of source data in the group of source data.

Abstract: Systems and methods for the crowdsourced clustering of data items in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a method for determining categories for a set of source data includes obtaining a set of source data, determining a plurality of subsets of the source data, where a subset of the source data includes a plurality of pieces of source data in the set of source data, generating a set of pairwise annotations for the pieces of source data in each subset of source data, clustering the set of source data into related subsets of source data based on the sets of pairwise labels for each subset of source data, and identifying a category for each related subset of source data based on the clusterings of source data and the source data metadata for the pieces of source data in the group of source data.

Abstract: Systems and methods for the crowdsourced clustering of data items in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a method for determining categories for a set of source data includes obtaining a set of source data, determining a plurality of subsets of the source data, where a subset of the source data includes a plurality of pieces of source data in the set of source data, generating a set of pairwise annotations for the pieces of source data in each subset of source data, clustering the set of source data into related subsets of source data based on the sets of pairwise labels for each subset of source data, and identifying a category for each related subset of source data based on the clusterings of source data and the source data metadata for the pieces of source data in the group of source data.

Abstract: Systems and methods for the crowdsourced clustering of data items in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a method for determining categories for a set of source data includes obtaining a set of source data, determining a plurality of subsets of the source data, where a subset of the source data includes a plurality of pieces of source data in the set of source data, generating a set of pairwise annotations for the pieces of source data in each subset of source data, clustering the set of source data into related subsets of source data based on the sets of pairwise labels for each subset of source data, and identifying a category for each related subset of source data based on the clusterings of source data and the source data metadata for the pieces of source data in the group of source data.