Abstract: Methods, systems, and computer program products for generating explanations for a semantic parser are provided herein. A computer-implemented method includes providing to a generative model (i) at least one query and (ii) a context of at least one dataset applicable to the at least one query, wherein the generative model generates a plurality of perturbations for the at least one input query based on the context; providing the plurality of perturbations as inputs to a context aware sequence-to-sequence model, thereby obtaining a plurality of outputs; and generating, for (i) an additional query provided as input to the context aware sequence-to-sequence model and (ii) a context applicable to the additional query, an explanation indicative of one or more parts of the additional query that contributes to an output corresponding to the additional query, based at least in part on the plurality of outputs corresponding to the perturbations.

Abstract: A method, apparatus and computer program product are provided for warping a perspective image into the ground plane using a homography transformation to estimate a bird's eye view in real time. Methods may include: receiving first sensor data from a first vehicle traveling along a road segment in an environment, where the first sensor data includes perspective image data of the environment, and where the first sensor data includes a location and a heading; retrieving a satellite image associated with the location and heading; applying a deep neural network to regress a bird's eye view image from the perspective image data; applying a Generative Adversarial Network (GAN) to the regressed bird's eye view image using the satellite image as a target of the GAN to obtain a stabilized bird's eye view image; and deriving values of a homography matrix between the sensor data and the established bird's eye view image.

Abstract: Methods described herein relate to identifying critical parameters of a localization framework that may require tuning for accuracy of the localization framework based on the data source. Methods may include: receiving a data set from a data source; comparing the data set against data stored in a database; identifying, based on the comparison, a subset of parameters of a localization framework for the data set from among a plurality of parameters of the localization framework; providing for tuning of the subset of parameters of the localization framework for the data set to generate a tuned subset of parameters; processing the data set from the data source using the localization framework including the tuned subset of parameters; and receiving an indication of a location from the localization framework of the data set within a mapped region.

Abstract: An endoscopic surgical clip applier (10) includes a handle assembly (100) configured to releasably engage at least two in different endoscopic assemblies (200, 300). The handle assembly (100) is configured to transition from a non-ratcheting use condition to a ratcheting use condition when an endoscopic assembly (200) configured for ratcheting use is engaged with the handle assembly (100). The handle assembly (100) is maintained in the non-ratcheting use condition when an endoscopic assembly (300) configured for non-ratcheting use is engaged with the handle assembly (100). Endoscopic assemblies (200, 300) for use with the handle assembly (100) are also provided.

Abstract: A processing device and a method of tiled rendering of an image for display is provided. The processing device includes memory and a processor. The processor is configured to receive the image comprising one or more three dimensional (3D) objects, divide the image into tiles, execute coarse level tiling for the tiles of the image and execute fine level tiling for the tiles of the image. The processing device also includes same fixed function hardware used to execute the coarse level tiling and the fine level tiling. The processor is also configured to determine visibility information for a first one of the tiles. The visibility information is divided into draw call visibility information and triangle visibility information for each remaining tile of the image.

Abstract: A method of simulating a tremor in a subject and evoking an empathetic response in the subject towards a patient suffering from tremors, the method comprising: synthesizing a tremor inducing signal, which may be done by capturing and analyzing EMG measures of electrical pulses derived from a sensed neuromuscular event associated with tremors experienced by a patient; and applying an electrical muscle stimulation to the subject using the synthesized pulses associated with the patient experiencing tremors.

Abstract: Methods of inducing segmented flow in a material in which a ductile flow mode would otherwise occur during machining. A monolayer molecular film is formed on a surface of a body of a material in a state such that the material exhibits ductile flow when subjected to shear. The monolayer molecular film has molecules each having a head group adsorbed to the surface, a terminal group, and a hydrocarbon chain therebetween having a chain length of greater than 6. A surface portion of the body is removed by engaging the body with a tool in a contact region below the surface of the body and moving the tool relative to the body to remove the surface portion and the monolayer molecular film thereon. The monolayer molecular film induces segmented flow in the material during the removing of the surface portion.

Abstract: An approach is provided for aligning one or more drive segments based on a consensus set of user defined inputs. The approach involves, for example, retrieving manual drive alignment data collected from a plurality of human users, wherein the manual drive alignment data indicates one or more regions of at least two drive data segments selected by the human users to align the at least two drive segments. The approach also involves processing the manual drive alignment data to determine a set of common drive alignment locations of the one or more regions. The approach further involves processing a plurality of subsequent drive segments to automatically align the plurality of subsequent drive segments based on the set of common drive alignment locations.

Abstract: A computer-based system and process are disclosed for reconstructing the internal electrical behavior of a patient's heart based partly or wholly on the patient's electrocardiogram (ECG). The output of the process may include, for example, a cardiac activation map, and/or a representation of transmembrane potentials over time. The process advantageously does not require any medical imaging of the patient, and does not require any special medical equipment. For example, the patient's activation map and transmembrane potentials may be reconstructed based solely on a preexisting or newly-obtained 12-lead cardiac ECG of the patient. The process makes use of a machine learning model, such as a neural network based model, trained with actual and/or simulated ECGs and intracardiac electrical data (typically transmembrane potentials) of many thousands of patients.

Abstract: Methods described herein relate to reducing the computational intensity of vision-based localization. Methods may include: receiving sensor data from a vehicle traveling along a road; identifying one or more features of the environment from the sensor data; classifying the one or more identified features into one or more of a plurality of semantic classifications for the features; identifying map image data based on an identified location of the vehicle; identifying one or more features in the map image data; comparing one or more identified features of a first semantic classification with one or more features of the map image data of the first semantic classification; and registering a localized location of the vehicle within the environment based, at least in part, on the one or more identified features of the first semantic classification corresponding to the one or more features of the map image data of the first semantic classification.

Abstract: Described herein is a system for rescoring automatic speech recognition hypotheses for conversational devices that have multi-turn dialogs with a user. The system leverages dialog context by incorporating data related to past user utterances and data related to the system generated response corresponding to the past user utterance. Incorporation of this data improves recognition of a particular user utterance within the dialog.

Abstract: Distributed storage systems, devices, and associated methods of data replication are disclosed herein. In one embodiment, a server in a distributed storage system is configured to write, with an RDMA enabled NIC, a block of data from a memory of the server to a memory at another server via an RDMA network. Upon completion of writing the block of data to the another server, the server can also send metadata representing a memory location and a data size of the written block of data in the memory of the another server via the RDMA network. The sent metadata is to be written into a memory location containing data representing a memory descriptor that is a part of a data structure representing a pre-posted work request configured to write a copy of the block of data from the another server to an additional server via the RDMA network.

Abstract: A system and method for backing up virtual machines are disclosed. To better use the backup resources, an optimal set of virtual machines needing backup during a time window is generated. The optimal set depends on a total time for backing up each virtual machine needing backup and a cost metric that indicates a cost of not backing up the virtual machine during the time window. The optimal set also meets various system constraints that reflect the backup resource limitations. Performing backups according to the optimal set limits the number of missed backups and the number of service level agreement violations, thereby improving the backup performance without costly additions to its infrastructure.

Abstract: A method, apparatus and computer program product are provided for warping a perspective image into the ground plane using a homography transformation to estimate a bird's eye view in real time. Methods may include: receiving first sensor data from a first vehicle traveling along a road segment in an environment, where the first sensor data includes perspective image data of the environment, and where the first sensor data includes a location and a heading; retrieving a satellite image associated with the location and heading; applying a deep neural network to regress a bird's eye view image from the perspective image data; applying a Generative Adversarial Network (GAN) to the regressed bird's eye view image using the satellite image as a target of the GAN to obtain a stabilized bird's eye view image; and deriving values of a homography matrix between the sensor data and the established bird's eye view image.

Abstract: A communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT), which may be applied to intelligent services based on the 5G communication technology and IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The methods and systems control transmission power of User Equipment (UE) based on user interactions. The methods and systems include detecting user interactions with transmitted signals of the UE using information collected from at least one sensor, and using the information collected from the at least one sensor to estimate the transmission power of the UE for compliance with regulatory organization limits for user exposer to signals.

Abstract: Methods, systems, and devices supporting querying disparate data sources are described. Querying disparate data sources may include receiving an input for data stored at a first data source from a plurality of data sources, selecting a first data connector from a plurality of data connectors, wherein the first data connector corresponds to the first data source, and identifying a first query language corresponding to the first data source from a plurality of query languages. Querying the disparate data sources may further include generating a converted query based at least in part on the first query language and retrieving the data from the first data source using the first data connector based at least in part on the converted query.

Abstract: A production cluster includes a first plurality of nodes and executes a workload, such that jobs associated with the executed workload are allocated, according to a first configuration, across the first plurality of nodes. A cluster monitor extracts production cluster information from the production cluster, monitors configuration information during execution of the workload, and transmits each to a cluster tuner. The cluster tuner includes a second plurality of nodes that is less than the first plurality of nodes of the production cluster. The cluster tuner receives the information and determines a first recommended configuration for the production cluster. The cluster tuner causes the test cluster to execute a simulated workload according to the first recommended configuration. In response to determining that the first recommended configuration results in a decrease in resource consumption, the cluster tuner causes the production cluster to operate according to the first recommended configuration.

Abstract: A system for classifying a target image with segments having attributes is provided. The system generates a graph for the target image that includes vertices representing segments of the image and edges representing relationships between the connected vertices. For each vertex, the system generates a subgraph that includes the vertex as a home vertex and neighboring vertices representing segments of the target image within a neighborhood of the segment represented by the home vertex. The system applies an autoencoder to each subgraph to generate latent variables to represent the subgraph. The system applies a machine learning algorithm to a feature vector comprising a universal image representation of the target image that is derived from the generated latent variables of the subgraphs to generate a classification for the target image.

Abstract: A system includes a production cluster with a first plurality of nodes. The production cluster executes a workload. Jobs associated with the workload are allocated, according to a first configuration, across the first plurality of nodes. A workload simulator is coupled to the production cluster and a test cluster. The workload simulator extracts production cluster data, which includes production capability information, workload data, and production cluster usage information, as well as test capability information. The workload simulator determines a first job type to include in a simulated workload to be executed on the test cluster and a number of jobs of the first job type to include in the simulated workload. The system also includes a test cluster which includes a second plurality of nodes. The second plurality of nodes includes fewer nodes than does the first plurality of nodes. The test cluster executes the simulated workload.

Abstract: An access point that implements operating modes in which beacons may be selectively disabled. Beacons may be disabled when no device is actively associated through the access point. Beacons may be enabled in response to one or more triggers, which may include events such as a client forming an association through the access point following a probe request message identifying the access point. In addition, active beaconing may be triggered by user input or may occur during periodic brief intervals that allow client devices to discover the network identifier for the access point. Selective control of beaconing may lead to more effective wireless communication, particularly in areas where users congregate with computers implementing soft APs for personal networks.