Abstract: Provided are methods and systems for automated or semi-automated generation of complex messages. Provided systems include neural network(s) that are trained with at least an initial training set including message records having specific characteristics, such as size and form characteristics, and recognize certain user inputted content as “instructional prompts.” The neural network(s) use the instructional prompts, training set, and other prompts to generate a distribution of semantic element options for each semantic element the system determines to include in system drafted message(s). The system selects from among such options to generate a plurality of draft messages which are presented to users for evaluation, editing, or transmission, with the instructional prompts treated as priority content.

Abstract: Method and apparatus for using a uni-directional write current to store different logic states in a non-volatile memory cell, such as a modified STRAM cell. In some embodiments, the memory cell has an unpinned ferromagnetic reference layer adjacent a cladded conductor, a ferromagnetic storage layer and a tunneling barrier between the reference layer and the storage layer. Passage of a current along the cladded conductor induces a selected magnetic orientation in the reference layer, which is transferred through the tunneling barrier for storage by the storage layer. Further, the orientation of the applying step is provided by a cladding layer adjacent a conductor along which a current is passed and the current induces a magnetic field in the cladding layer of the selected magnetic orientation.