Abstract: A dock apparatus includes a plurality of loading dock components. An identification system is coupled with the plurality of loading dock components. A control panel is in signal communication with the plurality of loading dock components via the identification system. The identification system automatically cooperates with the control panel to define an operating sequence of the plurality of loading dock components. A power module is in signal communication with the control panel and an installed component of the plurality of loading dock components. The control panel provides instructions to the power module according to the operating sequence and the power module delivers a predetermined electrical current to the installed components of the plurality of loading dock components in a sequential pattern defined by the operating sequence.

Abstract: A computer-implemented method is disclosed for mapping a dataset from a Hilbert space of a given dimension to a Hilbert space of a different dimension, the method comprising obtaining a dataset, for each data sample of the dataset, for a plurality of episodes, generating an encoded sample; configuring an adiabatic quantum device by embedding each encoded sample into a q-body Hamiltonian H representative of an adiabatic quantum device, causing the adiabatic quantum device to evolve from an initial state to a final state; and performing a projective measurement along z axis at the final state to determine the value of each qubit; generating a corresponding binary vector representative of the given data sample in a transformed Hilbert space using the determined value of each qubit at each episode and providing a mapped dataset comprising each of the generated corresponding binary vectors.

Abstract: A dock apparatus includes a plurality of loading dock components. An identification system is coupled with the plurality of loading dock components. A control panel is in signal communication with the plurality of loading dock components via the identification system. The identification system automatically cooperates with the control panel to define an operating sequence of the plurality of loading dock components. A power module is in signal communication with the control panel and an installed component of the plurality of loading dock components. The control panel provides instructions to the power module according to the operating sequence and the power module delivers a predetermined electrical current to the installed components of the plurality of loading dock components in a sequential pattern defined by the operating sequence.

Abstract: A computer-implemented method is disclosed for mapping a dataset from a Hilbert space of a given dimension to a Hilbert space of a different dimension, the method comprising obtaining a dataset, for each data sample of the dataset, for a plurality of episodes, generating an encoded sample; configuring an adiabatic quantum device by embedding each encoded sample into a q-body Hamiltonian H representative of an adiabatic quantum device, causing the adiabatic quantum device to evolve from an initial state to a final state; and performing a projective measurement along z axis at the final state to determine the value of each qubit; generating a corresponding binary vector representative of the given data sample in a transformed Hilbert space using the determined value of each qubit at each episode and providing a mapped dataset comprising each of the generated corresponding binary vectors.

Abstract: Examples of systems and methods for automatic population of electronic documents are described. In an example, a digital base document having the information to be populated in a data field of the electronic document may be obtained. From the digital base document a data item to provide the information may be extracted. Further, for the digital base document, a similarity score may be computed with respect to each document type defined in predefined mapping data, the predefined mapping data including, for each document type, a weight associated with data items occurring in the document type, the weight being associated based on the importance of the data item to the document. Based on the similarity score, a document type of the digital base document may be identified. Further, based on a position of the data item in the digital base document and the identified document type, the data field may be populated.

Abstract: Examples of systems and methods for automatic population of electronic documents are described. In an example, a digital base document having the information to be populated in a data field of the electronic document may be obtained. From the digital base document a data item to provide the information may be extracted. Further, for the digital base document, a similarity score may be computed with respect to each document type defined in predefined mapping data, the predefined mapping data including, for each document type, a weight associated with data items occurring in the document type, the weight being associated based on the importance of the data item to the document. Based on the similarity score, a document type of the digital base document may be identified. Further, based on a position of the data item in the digital base document and the identified document type, the data field may be populated.

Abstract: A device receives media data from one or more streaming devices, receives educational data from one or more server devices, and receives Internet of Things (IoT) data from one or more IoT devices. The device pre-processes the media data, the educational data, and the IoT data to generate pre-processed data, and generates one or more machine learning models based on the pre-processed data. The device optimizes parameters for the one or more machine learning models, and validates the one or more machine learning models, based on optimizing the parameters for the one or more machine learning models, to generate one or more validated machine learning models. The device determines, based on the one or more validated machine learning models, recommendations for learning services that are synchronized, and causes at least one of the learning services to be implemented based on the recommendations for the learning services.

Abstract: An approach to rapid failover of a communication path between computers that are linked by redundant virtual links in a virtual private network (VPN) features detection of communication link and device failures through an active monitoring approach and re-routing of communication through a redundant link of the VPN when a failure is detected.

Abstract: An approach to rapid failover of a communication path between computers that are linked by redundant virtual links in a virtual private network (VPN) features detection of communication link and device failures through an active monitoring approach and re-routing of communication through a redundant link of the VPN when a failure is detected.