Abstract: Disclosed embodiments operate in conjunction with remote Speech-To-Text (STT) systems, extending and enhancing performance of these systems by using contextual systems to provide inputs to them, as well as correcting likely word errors in the output. These systems are combined to produce an end-to-end system with Word Error Rates significantly better than those available with remote STT systems alone.

Abstract: Techniques for determining a state of an object are discussed herein. In some implementations, a state sensing device may be capable of sensing and/or helping determine a state of an object. A state of an object may include various information about a physical object, such as a position and/or location of the object, a condition of the object, how the object relates to one or more other objects, etc. This disclosure may also be directed to providing a certification of the state of the object. For instance, the state sensing device may help provide a degree of confidence in the determined state of the object.

Abstract: Improved seats and methods of sitting are provided for meditation and other activities that urge a user to settle naturally into a proper alignment of their spine so that they can develop a natural sense of balance and related muscle memory that enables them to continue the posture when not using the seat of the present invention. Seats of the present invention include a supported portion that includes a sitting surface and a leg portion having a proximal end that may be connected to the supported portion. The leg portion further includes a distal end that acts as a pivot on a floor or other surface suitable for supporting the seat and user, thereby allowing the user to balance themselves around the pivot.

Abstract: Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.

Abstract: Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.

Abstract: An improved support leg attachment assembly is provided. The support leg attachment assembly enables an easy transition of a portable structure, having a leg portion and a supported portion, between a detached storage configuration and an attached operative configuration, stably supporting the supported portion on the leg portion. The support leg attachment assembly provides two tenons on a proximal end the leg portion, and two mortises recessed along the supported portion, the two tenons and mortises dimensioned and adapted to snugly nest only upon an application of an engagement angle. Each of the two tenons and mortises providing contrasting materials for facilitating a long-lasting, effective support leg attachment assembly.