Abstract: This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Abstract: Embodiments of the present disclosure provide a cloud-based integrated charting system that utilizes a universal mapping service across services and clients to provide insights for the provider into customizations made by clients. Additionally, the system provides content building tools that enable clients to customize content to update models provided by the provider. A mapping service maps model codes corresponding to model concepts to a plurality of standard based concept codes corresponding to client domain specific customized concepts for an ontology of the one or more ontologies. A workflow recommendation is provided that enables a user to chart data and includes the model concepts comprising charting elements. Accordingly, the data is stored in a client database in accordance with the client domain specific customized concepts. Since the model concepts are mapped to the client domain specific customized concepts, the workflow recommendation can be prepopulated with data from the client database.

Abstract: A beamforming system and method is disclosed comprising a hybrid multi-measurement unit or process that can encode or embed broadband signals in a low dimensional encoding subspace such as a Slepian subspace. The direction-of-arrival of the plane wave signals, encoded with the low dimensional embedding, can be used to provide a spatially sampled signal to a front-end mixed-signal circuitries substantially reduced hardware for beamforming systems. The beamforming array has a finite array aperture to which a temporal snapshot of the signal can be acquired and then processed as a set of samples from a time-limited bandlimited sequence.

Abstract: Embodiments of the present disclosure provide a cloud-based integrated charting system that utilizes a universal mapping service across services and clients to provide insights for the provider into customizations made by clients. Additionally, the system provides content building tools that enable clients to customize content to update models provided by the provider. A mapping service maps model codes corresponding to model concepts to a plurality of standard based concept codes corresponding to client domain specific customized concepts for an ontology of the one or more ontologies. A workflow recommendation is provided that enables a user to chart data and includes the model concepts comprising charting elements. Accordingly, the data is stored in a client database in accordance with the client domain specific customized concepts. Since the model concepts are mapped to the client domain specific customized concepts, the workflow recommendation can be prepopulated with data from the client database.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with or based on optimization data. Generating a communication may include (i) receiving first data associated with a first computing device or a first computing device user; (ii) generating at least two of: verification data, consistency data, and activity data; and (iii) generating optimization data.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with an optimization code. Generating a communication may include generating an optimization code, which may include (i) receiving a first data associated with one or more of a first computing device and a first computing device user; (ii) generating at least two confirmation codes, including one or more of a verification code, a consistency code, and an activity code; and (iii) generating an optimization code which may be based, at least in part, on the at least two confirmation codes.

Abstract: Methods, non-transitory computer readable media, and causal explanation computing apparatus that assists with generating and providing causal explanation of artificial intelligence models includes obtaining a dataset as an input for an artificial intelligence model, wherein the obtained dataset is filtered to a disentangled low-dimensional representation. Next, a plurality of first factors from the disentangled low-dimensional representation of the obtained data that affect an output of the artificial intelligence model is identified. Further, a generative mapping from the disentangled low-dimensional representation between the identified plurality of first factors and the output of the artificial intelligence model, using causal reasoning is determined. An explanation data is generated using the determined generative mapping, wherein the generated explanation data provides a description of an operation leading to the output of the artificial intelligence model using the identified plurality of first factors.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with an optimization code. Generating a communication may include generating an optimization code, which may include (i) receiving a first data associated with one or more of a first computing device and a first computing device user; (ii) generating at least two confirmation codes, including one or more of a verification code, a consistency code, and an activity code; and (iii) generating an optimization code which may be based, at least in part, on the at least two confirmation codes.

Abstract: This disclosure is directed to systems and methods for generating a communication associated with an optimization code. Generating a communication may include generating an optimization code, which may include (i) receiving a first data associated with one or more of a first computing device and a first computing device user; (ii) generating at least two confirmation codes, including one or more of a verification code, a consistency code, and an activity code, which may be associated with a comparative accuracy of the first data, a comparative consistency of the first data, and a comparative activity of the first data, respectively; and (iii) generating an optimization code which may be based, at least in part, on the at least two confirmation code and associated with a relative predictability of the first data.

Abstract: An internet-of-things, IoT, device (100) includes a luminosity sensing unit and a motion sensing unit. The IoT device (100) also includes a first network interface connectable to an IoT coordinator device (200) over a first network using a first network protocol, and a second network interface configured to communicate over a second network via a second network protocol. The IoT device (100) is configured to act as a bridge between the first and second networks, allowing integration of various smart building management services (600). A smart building control system (300) comprises a plurality of the IoT devices (100).

Abstract: Methods, computer systems, and computer storage media are provided for sorting and presenting a patient's medical information by body system. A selection of a body system filter directed to a body system is received, and the patient's medical information is accessed. The selected body system filter is applied to the patient's medical information to generate a set of body-system specific patient information. The body-system specific patient information is presented on a body system view user interface.

Abstract: Systems and methods for preference and similarity learning arc disclosed. The systems and methods improve efficiency for both searching datasets and embedding objects within the datasets. The systems and methods for preference embedding include identifying paired comparisons closest to a user's true preference point. The processes include removing obvious paired comparisons and/or ambiguous paired comparisons from subsequent queries The systems and methods for similarity learning include providing larger rank orderings of tuples to increase the context of the information in a dataset In each embodiment, the systems and methods can embed user responses in a Euclidean space such that distances between objects are indicative of user preference or similarity.

Abstract: Embodiments of the present disclosure provide a cloud-based integrated charting system that utilizes a universal mapping service across services and clients to provide insights for the provider into customizations made by clients. Additionally, the system provides content building tools that enable clients to customize content to update models provided by the provider. A mapping service maps model codes corresponding to model concepts to a plurality of standard based concept codes corresponding to client domain specific customized concepts for an ontology of the one or more ontologies. A workflow recommendation is provided that enables a user to chart data and includes the model concepts comprising charting elements. Accordingly, the data is stored in a client database in accordance with the client domain specific customized concepts. Modifications to the workflow recommendation can be learned by the system.

Abstract: A component for an article of footwear and methods for manufacture thereof are disclosed. The component comprises a first portion of base material of and a second portion of added material. The second portion is bonded to the base material of the first portion by a process of adding material on the base material and the added material forms at least one fastening member for fastening the component to another component of the article of footwear.

Abstract: Systems, methods, and computer-readable media for denormalizing healthcare data are provided. An indication a patient has been added to a tracking list is received. The tracking list is determined to be associated with a primed view. Data is retrieved for the patient. The data for the patient is cached into the primed view before a clinician requests the data.

Abstract: Methods, computer systems, and computer storage media are provided for sorting and presenting a patient's medical information by body system. A selection of a body system filter directed to a body system is received, and the patient's medical information is accessed. The selected body system filter is applied to the patient's medical information to generate a set of body-system specific patient information. The body-system specific patient information is presented on a body system view user interface.

Abstract: Methods, computer systems, and computer storage media are provided for sorting and presenting a patient's medication order information by body system. A selection of a body system filter directed to a body system is received, and the patient's medication order information is accessed. The selected body system filter is applied to the patient's medication order information to generate a set of body-system specific medication order information.

Abstract: A method for approximating a plurality of digital signals or images using compressed sensing. In a scheme where a common component xc of said plurality of digital signals or images an innovative component xi of each of said plurality of digital signals each are represented as a vector with m entries, the method comprises the steps of making a measurement yc, where yc comprises a vector with only ni entries, where ni is less than m, making a measurement yi for each of said correlated digital signals, where yi comprises a vector with only ni entries, where ni is less than m, and from each said innovation components yi, producing an approximate reconstruction of each m-vector xi using said common component yc and said innovative component yi.