Abstract: A user interface (UI), data structures and algorithms facilitate programming, analyzing, debugging, embedding, and/or modifying problems that are embedded or to be embedded on an analog processor (e.g., quantum processor), increasing computational efficiency and/or accuracy of problem solutions. The UI provides graph representations (e.g., source graph, target graph and correspondence therebetween) with nodes and edges which may map to hardware components (e.g., qubits, couplers) of the analog processor. Characteristics of solutions are advantageously represented spatially associated (e.g., overlaid or nested) with characteristics of a problem. Characteristics (e.g., bias state) may be represented by color, pattern, values, icons. Issues (e.g., broken chains) may be detected and alerts provided.

Abstract: A method for generating optimal arch forms for a patient's dental arch is presented. The method comprises: receiving first positional digital data for one or more teeth from a reconstructed 3D digital volume of the patient dental arch; (b) generating second positional digital data for the one or more teeth according to a desired dental arch form for the patient; (c) calculating a first displacement data for one or more teeth according to the first positional and second positional digital data; (d) detecting teeth collision values based on the first displacement data; (e) calculating a second displacement data for one or more teeth based on the detected teeth collision values; and (f) reporting a combination of the first displacement data and second displacement data for repositioning one tooth or more teeth of the dental arch.

Abstract: Computer-implemented systems and methods are provided for improved generation and control of conversations. A computing device is utilized to control or simulate conversation using estimated contextual cues extracted from profile information or prior responses. The computing device is configured to automatically tailor a flow of a conversation to an effort to improve relevancy and engagement without the need of a human operator to manually tailor the conversation, which, for example, could be impractically expensive. A structured workflow is maintained in the form of a series of conversation decisions, and a machine learning engine is utilized to maintain a continuously trained data structure that generates predictions that bias conversation decisions (e.g., by weighting tree options) for tailoring the conversation flow.

Abstract: Computer-implemented systems and methods are provided for improved generation and control of conversations. A computing device is utilized to control or simulate conversation using estimated contextual cues extracted from profile information or prior responses. The computing device is configured to automatically tailor a flow of a conversation to an effort to improve relevancy and engagement without the need of a human operator to manually tailor the conversation, which, for example, could be impractically expensive. A structured workflow is maintained in the form of a series of conversation decisions, and a machine learning engine is utilized to maintain a continuously trained data structure that generates predictions that bias conversation decisions (e.g., by weighting tree options) for tailoring the conversation flow.

Abstract: The disclosure enables concurrent access to a cache by main storage and a processor by means of a cache control which provides two cache access timing cycles during each processor storage request cycle. The cache is accessible to the processor during one of the cache timing cycles and is accessible to main storage during the other cache timing cycle. No alternately accessible modules, buffering, delay, or interruption is provided for main storage line transfers to the cache.