Abstract: A method includes clustering a plurality of weights of a neural network model into a first plurality of clusters and clustering differences between (i) the plurality of weights assigned to a first cluster of the first plurality of clusters and (ii) a centroid value of the first cluster into a second plurality of clusters. The method also includes storing, in a first table, an identifier and a centroid value for each cluster of the second plurality of clusters and for each of the plurality of weights assigned to the first cluster, storing, in a second table, an identifier of a respective cluster of the second plurality of clusters corresponding to that weight.

Abstract: A method, computer-program product, and system is provided. Separate computing devices can be controlled with one or more user input devices linked to the separate computing devices by an application. An image of a display from one of the linked computing devices can be captured with a smart headset and can be compared to display outputs retrieved from linked computing devices and the user input device can be activated one the corresponding linked computing device.

Abstract: A hierarchy is a multi-level linked structure of nodes, wherein the hierarchy represents data relating to a set of one or more items to be processed. Where there are multiple input hierarchies, it may improve the efficiency of the processing of the items to merge the input hierarchies to form a merged hierarchy. The hierarchies are merged by identifying two or more sub-hierarchies within the input hierarchies which are to be merged, and determining one or more nodes of the merged hierarchy which reference nodes of the identified sub-hierarchies. The determined nodes of the merged hierarchy are stored and indications of the references between the determined nodes of the merged hierarchy and the referenced nodes of the identified sub-hierarchies are also stored. In this way, the merged hierarchy is formed for use in processing the items.

Abstract: Implementations are directed to remote data aggregation, data management, and data visualization of field data from remote field site locations. Actions can include generating, by one or more sensors, the field data, each sensor of the one or more sensors being responsive to field site activity, transmitting, through a regional network, the field data to a back-end system, processing, by the back-end system, the field data to provide visualization data, transmitting the visualization data to one or more mobile computing devices, and providing a computer-executable application for execution on a mobile computing device, the computer-executable application processing the visualization data to provide data visualizations.

Abstract: The present invention is a nodal radar system having a metamaterial-based object detection system. An intelligent antenna metamaterial interface (IAM) associates specific metamaterial unit cells into subarrays to adjust the beam width of a transmitted signal. The nodal radar system is positioned on infrastructure to complement sensor information from mobile vehicles and devices within an environment.

Abstract: Examples disclosed herein relate to a node in a fixed wireless network. The node includes a Beam Steering Antenna Module (“BSAM”) having a beam steering antenna to generate RF beams at controlled directions, and an antenna controller to control the directions of the generated RF beams. The node also includes a transceiver control having an Optimal Path Module (“OPM”) to determine data paths in the fixed wireless network and direct the antenna controller according to the determined data paths.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for communicating between an operational asset and a backend network that include the actions of receiving first data from an operational asset through a first communication interface that is configured to communicate with an operational asset, and where the first data is formatted according to a first data format that is specific to the operational asset. Processing the first data according to an asset template to generate second data, where the second data includes the first data and being formatted according to a second data format that is specific to the backend network. Causing the second data to be transmitted to the backend network by a second communication interface that is configured to communicate with a backend network.

Abstract: Methods, systems and computer program products for operating a secure speech recognition are provided. Aspects include receiving a speech recognition request from a user, the speech recognition request including a captured audio file and filtering the captured audio file to create an in-band audio file and at least one out-of-band audio file. Aspects also include creating an in-band text file based on the in-band audio file and creating an out-of-band text file based on the out-of-band audio file. Aspects further include calculating an attack risk based at least in part on the in-band text file and the out-of-band text file. Based on a determination that the attack risk is below a threshold value, aspects include executing the speech recognition request.

Abstract: Examples disclosed herein relate to an Intelligent Metamaterial (“iMTM”) radar for target identification. The iMTM radar has an iMTM antenna module to radiate a transmission signal with an iMTM antenna structure and generate radar data capturing a surrounding environment. An iMTM interface module detects and identifies a target in the surrounding environment from the radar data and controls the iMTM antenna module.

Abstract: A movement notification is received from a display. The movement notification corresponds to a movement. A set of movement frames that reflect the movement is rendered by a graphical processing unit. The set of movement frames is transmitted to the display. A notification that the movement has ceased is received from the display. A stop command is transmitted to the display. The stop command instructs the display to not display the first subset of frames in the set of movement frames. The first subset of frames reflects the end of the movement.

Abstract: The present invention is a nodal radar system having a metamaterial-based object detection system. An intelligent antenna metamaterial interface (IAM) associates specific metamaterial unit cells into sub-arrays to adjust the beam width of a transmitted signal. The nodal radar system is positioned on infrastructure to complement sensor information from mobile vehicles and devices within an environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for communicating between an operational asset and a backend network that include the actions of receiving first data from an operational asset through a first communication interface that is configured to communicate with an operational asset, and where the first data is formatted according to a first data format that is specific to the operational asset. Processing the first data according to an asset template to generate second data, where the second data includes the first data and being formatted according to a second data format that is specific to the backend network. Causing the second data to be transmitted to the backend network by a second communication interface that is configured to communicate with a backend network.

Abstract: In at least one aspect, a method comprises: receiving information associated with a plurality of scheduled actions, each of the plurality of scheduled actions defining a device to be controlled, an action to be carried out with respect to the device to be controlled, a scheduled day on which to carry out the scheduled action and a scheduled time of day to carry out the scheduled action on the scheduled day; determining a chronological ordering that indicates a chronological order in which at least a subset of the plurality of scheduled actions are scheduled to be carried out; generating a view based at least in part on the chronological ordering; and displaying the generated view. Such methods may be performed or implemented by various devices, apparatuses and/or systems.

Abstract: Implementations are directed to remote data aggregation, data management, and data visualization of field data from remote field site locations. Actions can include generating, by one or more sensors, the field data, each sensor of the one or more sensors being responsive to field site activity, transmitting, through a regional network, the field data to a back-end system, processing, by the back-end system, the field data to provide visualization data, transmitting the visualization data to one or more mobile computing devices, and providing a computer-executable application for execution on a mobile computing device, the computer-executable application processing the visualization data to provide data visualizations.

Abstract: A gemstone detection method is provided and includes using a camera to generate a set of training pictures illustrating three-dimensional features of a gemstone cut with a pattern. Each training picture in the set of training pictures includes facets of and inclusions within the gemstone visible along a point-of-view (POV) through the gemstone. The gemstone detection method further includes generating a trained neural network by training an untrained neural network using the set of training pictures and a set of training sketches of edges of the facets of the gemstone generated from the set of training pictures and using the trained neural network to iteratively generate machine-generated drawings from the set of training pictures. Each of the machine-generated drawings identifies edges of the facets of the gemstone. In addition, the gemstone detection method includes combining the set of machine-generated drawings into a three-dimensional model.

Abstract: A movement notification is received from a display. The movement notification corresponds to a movement. A set of movement frames that reflect the movement is rendered by a graphical processing unit. The set of movement frames is transmitted to the display. A notification that the movement has ceased is received from the display. A stop command is transmitted to the display. The stop command instructs the display to not display the first subset of frames in the set of movement frames. The first subset of frames reflects the end of the movement.

Abstract: A set of partial words is received. At least one partial word in the set of partial words is completed. The set of partial words with the at least one completed partial word is run through a trained deep neural network, the trained deep neural network inferring a word embedding associated with an unfinished word in the set of partial words. An inferred word is determined based on the inferred word embedding associated with the unfinished word. A sentence may be output, which includes at least the completed partial word and the inferred word.

Abstract: Examples disclosed herein relate to an Intelligent Metamaterial (“iMTM”) radar for target identification. The iMTM radar has an iMTM antenna module to radiate a transmission signal with an iMTM antenna structure and generate radar data capturing a surrounding environment. An iMTM interface module detects and identifies a target in the surrounding environment from the radar data and controls the iMTM antenna module.

Abstract: Methods, systems and computer program products for operating a secure speech recognition are provided. Aspects include receiving a speech recognition request from a user, the speech recognition request including a captured audio file and filtering the captured audio file to create an in-band audio file and at least one out-of-band audio file. Aspects also include creating an in-band text file based on the in-band audio file and creating an out-of-band text file based on the out-of-band audio file. Aspects further include calculating an attack risk based at least in part on the in-band text file and the out-of-band text file. Based on a determination that the attack risk is below a threshold value, aspects include executing the speech recognition request.

Abstract: A method, a computer program product, and a computer system for classifying bacteria. The method comprises extracting a morphology signature corresponding to one or more bacteria and extracting a motility signature corresponding to the one or more bacteria. The method further comprises merging the morphology signature and the motility signature into a merged vector signature and classifying the one or more bacteria based on the merged vector signature.