Abstract: In one embodiment, a method includes determining which objects from a substantial dataset are expected to lead to the largest increase in model quality by applying a samples-selection algorithm using computational capability comprising a processor and/or a memory (e.g., of a processing system and/or a graphics processing unit). The aspect quantifies an informativeness score of data elements in the substantial dataset to determine how likely and/or by what degree data elements will lead to model improvement. The method then automatically determines which data elements of the substantial dataset are in need of human annotation based on a prioritization order derived from the informativeness score and chooses a selected data based on the automatically determining which elements of the substantial dataset are in need of human annotation based on the prioritization order derived from the informativeness score. The method then matches the selected data to an expert.

Abstract: Techniques for manufacturing an induction coil for use in a wireless power transfer system are provided. An example of a wireless power transfer device according to the disclosure includes a first combined ferrite and coil holder and a second combined ferrite and coil holder, such that the first combined ferrite and coil holder and the second combined ferrite and coil holder are separate components, a first coil disposed on the first combined ferrite and coil holder, and a second coil disposed on the second combined ferrite and coil holder, such that the second combined ferrite and coil holder is adjacent to and coplanar with the first combined ferrite and coil holder, and the first coil and the second coil are operably coupled to one another.