Abstract: A system and method are described for assessing accuracy of a virtual horizon generated by a vehicle-based lidar system as the vehicle traverses a route of travel. Travel route topology data is obtained by a vehicle vehicle-mounted global positioning system-assisted inertial measurement unit (GPS/IMU) data. A reference virtual horizon at points along the route of travel is obtained from the GPS/IMU data and is compared with the virtual horizon generated by the lidar system for the same points to assess the accuracy of the virtual horizon generated by the lidar system.

Abstract: Various embodiments of the present technology may provide a first vessel to contain a slurry of a solid precursor powder and an inert liquid, a second vessel to receive the slurry, evaporate the inert liquid, and sublimate the solid precursor powder a first time to form a vapor, a third vessel to recondense the vapor back into a solid state and sublimate the solid precursor a second time to form a vapor, and a reaction chamber to receive the vapor from the third vessel.

Abstract: In one embodiment, a method includes receiving, from a client system of a user, a user input comprising a plurality of n-grams, parsing the user input to identify one or more overall intents, hidden intents, and slots associated with the one or more n-grams, wherein at least one of the hidden intents is non-resolvable for being associated with partial slot information corresponding to an n-gram that has not been resolved to a particular entity identifier, wherein the partial slot information is associated with two more entity identifiers of two or more entities, respectively, sending, to the client system, instructions for prompting the user to select one of the entities to be associated with the non-resolvable hidden intent, resolving the non-resolvable hidden intent based on the entity identifier of the entity selected by the user, and generating a response to the user input based on the resolved hidden intent.

Abstract: A method for improving consensus in a blockchain network through decentralized grouping includes: identifying, by each node of a plurality of nodes in a blockchain network that manages a blockchain, a plurality of groups, where each is comprised of a subset of nodes; generating, by each node in each subset of nodes, a new block for the blockchain; performing, by each subset of nodes, a first consensus operation among all nodes in the subset of nodes for the new block generated by in the subset of nodes to identify a group consensus block, where each node in the subset of nodes receives the group's group consensus block; and performing, by the blockchain network, a second consensus operation among all groups for the identified group consensus block to identify an overall consensus block, where a majority of groups of the plurality of groups receives the overall consensus block.

Abstract: A depth image of an object can be input to a deep neural network to determine a first four degree-of-freedom pose of the object. The first four degree-of-freedom pose and a three-dimensional model of the object can be input to a silhouette rendering program to determine a first two-dimensional silhouette of the object. A second two-dimensional silhouette of the object can be determined based on thresholding the depth image. A loss function can be determined based on comparing the first two-dimensional silhouette of the object to the second two-dimensional silhouette of the object. Deep neural network parameters can be optimized based on the loss function and the deep neural network can be output.

Abstract: A computing system that determines employee and organizational compliance includes one or more databases that store organizational data and one or more processors to execute instructions to perform various operations.

Abstract: An apparatus for working a wet coating, such as render material, applied to a surface, the apparatus comprising: an actuator arranged to move an arm across a surface having a wet coating applied thereon; a controller configured to move the arm across the surface along a tool path; and a tool head mounted to the arm, the tool head comprising a compliance module and a tool mounted to the compliance module such that the tool is movable in a stroke direction towards the surface relative to the arm. The compliance module comprises a biasing module arranged to urge the tool in the stroke direction to maintain contact between the tool and the wet coating such that the tool works the wet coating as the arm moves across the surface.

Abstract: A computer-implemented method includes receiving a network configuration request from a site manager, the network configuration request including location information of a site of the network, identifying a geographic domain that includes the network site based on the location information, identifying a server cluster mapped to the geographic domain, determining whether a network function exists in the server cluster and is capable of managing the network, and either using the existing network function to configure the network based on determining that a network function exists in the server cluster and is capable of managing the network, or creating a new network function in the server cluster and using the new network function to configure the network based on determining that no network function exists in the server cluster and is capable of managing the network.

Abstract: In a computer network, communication connections may be established between client devices and network devices. An algorithm may be generated and used as a method to identify and resolve issues with Uplink communications between client devices and network devices. When an issue with an Uplink communication is identified, a total number of issues with the communication may be determined. Determining that the total number of issues with a communication is greater than a threshold, the client device associated with the communication may be deauthenticated from the respective network device. After a client device is deauthenticated from a network device, the total number of deauthentications may be determined with the network device. Determining the total number of deauthentications with a network device is greater than a threshold, the radio of the network device may be disabled to deauthenticate all connected client devices. Solutions may be implemented according to the issues identified.

Abstract: A computing device (e.g., a server) coupled to a digital signage device may receive characteristic information associated with a visitor of the digital signage device. The received characteristic information may be analyzed, and based on a result of the analysis, advertisement attributes may be determined. The computing device may select, based on the determined advertisement attributes, a particular advertisement from a plurality of advertisement bids. The computing device may cause display of the selected particular advertisement on the digital signage device for the visitor. The characteristic information may be generated by the digital signage device utilizing a video analytics. The computing device may receive particular gesture information associated with a mobile device of the visitor who responds to the displayed particular advertisement.

Abstract: Automated mocking of computer system deployments is facilitated. A method as described herein can include associating, by a first system operatively coupled to a processor, respective properties of a first deployment of a second system on a first computing device with respective automation mapping functions; executing, by the first system, the automation mapping functions in an order defined by dependencies between respective ones of the automation mapping functions, resulting in a series of system modeling tasks and an order associated with the series of system modeling tasks; and performing, by the first system, the series of system modeling tasks in the order associated therewith, resulting in a second deployment of the second system being created on a second computing device that is distinct from the first computing device.

Abstract: According to an aspect, a technology system maintains an account data specifying the details of multiple accounts including a specific set of accounts as being delinquent. Upon receiving a feature set to be used, the system clusters the multiple accounts into groups based on the feature set. The system generates a multi-classification model for assignment of agents to the accounts based on the group qualifiers associated with the groups and the feature set. The system then identifies a target group likely to present problems with debt collection, assigns, using the multi-classification model, a corresponding agent for each account of the group and determines a recommended recovery strategy for each assignment. The system provides the details of the group, the corresponding agents assigned and the recommended recovery strategy for each assignment.

Abstract: Systems, methods, and computer program products may compare machine learning models by identifying data instances with disagreed predictions and learning from the disagreement. Based on a model interpretation technique, differences between the compared machine learning models may be interpreted. Multiple metrics to prioritize meta-features from different perspectives may also be provided.

Abstract: A remote user device communicatively couples to and/or controls an electronic device (e.g., a medical device) on a private network (including a firewall) from a remote location. A service enables communication between the remote user device and the electronic device. A remote user device sends a connection request to the service using a browser user interface. The service receives the connection request from the remote user device and establishes a connection to the remote user device. The service also communicatively couples to the electronic device via a gateway. The remote user device provides one or more inputs via a user interface to the service. The service transmits the one or more inputs to the gateway, which then transmits the one or more inputs to the electronic device to control operation of the electronic device.

Abstract: Various embodiments of the present technology may provide a feature to isolate an upper chamber of a reaction chamber from a lower chamber of a reaction chamber. In one case, a susceptor has a groove along an outer edge that is configured to mate with a spacer plate. A seal is disposed in the groove. In another case, a flow control ring, which rests on the susceptor, has a groove along an outer edge that is configured to mate with the spacer plate.

Abstract: Systems, methods, and other embodiments associated with converting a static cluster data table to a graphical hierarchical tree are described. In one embodiment, a method includes recursively traversing the static cluster data table to identify a root cluster, identify child clusters from the root cluster and child clusters from each other that define parent-child relationships, and identify decision segments that caused a segment split of cluster data. A 2-dimensional visual hierarchy is generated and displayed in a graphical form using a plurality of nodes that represent the root cluster and the child clusters along with path lines that connect the nodes. The 2-dimensional visual hierarchy displays a hierarchical visualization of the static cluster data table that shows an order of decision segments that occurred to segment a dataset and how the dataset was segmented by a clustering algorithm leading to a final cluster of a leaf node.

Abstract: Various embodiments of the present technology may provide methods and apparatus for cleaning a source vessel. The source vessel may be filled or partially filled with a solvent to form a solution. The solution is removed from the source vessel and contained in a waste vessel that is connected to the source vessel. The waste vessel may have a bellow or other mechanism inside of it to create a negative pressure in the waste vessel to pull the solution out of the source vessel and into the waste vessel. Alternatively, a liquid pump may be used to pull the solution from the source vessel to the waste vessel.

Abstract: Various embodiments of the present technology may provide an apparatus for use within a reaction chamber. The apparatus includes a susceptor plate having through-holes for which lift pins may be disposed therein. In addition, the susceptor may include an electrostatic chucking function. The susceptor may also include a metal interconnect that is electrically connected to other metal interconnects with a brazing material.

Abstract: A technique improves implementation of an index for an operations log (oplog) that coalesces random write operations directed to a virtual disk (vdisk) stored on an extent store. The oplog temporarily caches data associated with the random write operations (i.e., write data) as well as metadata describing the write data. The metadata includes descriptors to the write data stored on virtual address regions, i.e., offset ranges, of the vdisk and are used to identify the offset ranges of write data for the vdisk that are cached in the oplog. To facilitate fast lookup operations of the offset ranges when determining whether write data is cached in the oplog, an oplog index provides a state of the latest data for offset ranges of the vdisk. The technique improves implementation of the oplog index by storing the oplog index in storage class memory, such as persistent memory, to obviate failure and subsequent recovery of the oplog index.

Abstract: A machine learning-based process includes identifying a first set of features that includes features of a reference implementation of a circuit design and features of a synthesized version of a modified version of the circuit design. A first classification model is applied to the first set of features, and the first classification model indicates a full implementation flow or an incremental implementation flow. The full implementation flow is performed on the synthesized version of the modified version in response to the first classification model indicating the full implementation flow, and the incremental implementation flow is performed on the synthesized version of the modified version in response to the first classification model indicating the incremental implementation flow. The full and incremental implementation flows generate implementation data that is suitable for making an integrated circuit (IC).