Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a surfel map with semantic labels. One of the methods includes receiving a surfel map that includes a plurality of surfels, wherein each surfel has associated data that includes one or more semantic labels; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more surfels corresponding to the one or more locations of the obtained sensor data; identifying one or more semantic labels for the one or more surfels corresponding to the one or more locations of the obtained sensor data; and performing, for each surfel corresponding to the one or more locations of the obtained sensor data, a label-specific detection process for the surfel.

Abstract: The technology provides an approach to train translation models that are robust to transcription errors and punctuation errors. The approach includes introducing errors from actual automatic speech recognition and automatic punctuation systems into the source side of the machine translation training data. A method for training a machine translation model includes performing automatic speech recognition on input source audio to generate a system transcript. The method aligns a human transcript of the source audio to the system transcript, including projecting system segmentation onto the human transcript. Then the method performs segment robustness training of a machine translation model according to the aligned human and system transcripts, and performs system robustness training of the machine translation model, e.g., by injecting token errors into training data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for re-translation for simultaneous, spoken-language machine translation. In some implementations, a stream of audio data comprising speech in a first language is received. A transcription for the speech in the stream of audio data is generated using an automated speech recognizer through a series of updates. A translation of the transcription into a second language is generated using a machine translation module. The translation is generated with translation iterations that translate increasing amounts of the transcription, including re-translating previously portions of the transcription. A series of translation updates are provided to a client device based on the translation iterations.

Abstract: Methods of preventing creaming and age gelation in heat treated dairy based products are provided herein. Heat treated dairy based products are also provided, in which physical instability is prevented.

Abstract: A cell cultivation apparatus for cultivating microorganisms and growing cells at high density is provided. The apparatus includes a membrane comprising multiple surface features on a first side of the membrane for cell placement. The surface features comprising one or more compartments within which a cell can be located. The membrane includes a material that is at least partially permeable to gas. A second side of the membrane defines a gas region. The second side of the membrane is separated from the first side of the membrane by the membrane. The apparatus further includes a media region for receiving media. The compartments are configured to at least partially reduce media flow shear forces on one or more cells in the compartments. The surface features may be ridges, protrusions, fins, wells, and/or posts.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing an initial representation of an environment to generate an updated representation that includes representations of one or more objects there were obscured in the initial representation. One of the methods includes obtaining initial surfel data comprising a plurality of surfels; determining a plurality of non-static surfels from the plurality of surfels; obtaining guidance data that characterizes a prediction for static surfaces in one or more first regions of the environment that were obscured by the plurality of non-static surfels in the initial surfel data; and processing the guidance data and the initial surfel data to generate final surfel data that comprises, for each first region of the environment, a plurality of predicted surfels that represent static surfaces in the first region that are partially or wholly obscured by objects represented by respective non-static surfels.

Abstract: A tripping object including an object including a shape memory material and being stable in a second shape complementary to a landing feature and a first shape non-complementary to the seat, the object being transitioned from the second shape to the first shape upon being triggered. A method for operating a well including dropping a tripping object including a shape memory material on a landing feature in the well, and triggering the object to transition from a second shape to a first shape.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a surfel map with semantic labels. One of the methods includes receiving a surfel map that includes a plurality of surfels, wherein each surfel has associated data that includes one or more semantic labels; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more surfels corresponding to the one or more locations of the obtained sensor data; identifying one or more semantic labels for the one or more surfels corresponding to the one or more locations of the obtained sensor data; and performing, for each surfel corresponding to the one or more locations of the obtained sensor data, a label-specific detection process for the surfel.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining that prediction outputs generated by a prediction system are sensitive to variations in the values of one or more of a set of target sensor calibration parameters. In one aspect, a sensitivity analysis system is configured to perform operations comprising updating the values of one or more target sensor calibration parameters of each sensor data tuple of a plurality sensor data tuples, comprising, for each sensor data tuple: providing the sensor data tuple with the current values of the target sensor calibration parameters to the prediction subsystem to generate a current prediction output; determining a gradient of a function of the current prediction output with respect to the target sensor calibration parameters; and updating the current values of the target sensor calibration parameters of the sensor data tuple using the gradient.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sensor calibration with environment map. In some implementations, a three-dimensional surfel representation of a real-world environment is obtained. One or more surfels of the surfel representation having a particular classification of the different classifications are selected. Input sensor data from one or more sensors installed on an autonomous or semi-autonomous vehicle are received. The input sensor data is compared to the surfel representation to identify one or more differences between the observation and the surfel representation. At least one sensor of the one or more sensors is calibrated using the one or more differences between the observation and the surfel representation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for labeling point clouds using distance field data. One of the methods includes obtaining a point cloud characterizing a region of the environment, the point cloud comprising a plurality of points; obtaining distance field data specifying, for each of a plurality of locations in the region of the environment, a distance from the location to a nearest static object in the environment; determining, using the distance field data and for each of the plurality of points, a respective distance from the point to a nearest static object in the environment to the point; and identifying, based on the respective distances for the plurality of points in the point cloud, one or more of the points as candidate dynamic object points that are likely to be measurements of a dynamic object in the environment.

Abstract: Various methods, apparatuses/systems, and media for ultra-high dimensional Hawkes processes are disclosed. A receiver receives event data from a plurality of data sources. The event data includes ultra-high dimensional data. A processor creates a model by modeling the event data as modalities. Each modality contains a number of marks of the event. The processor reduces the dimensionality of the ultra-high dimensional data to a predefined value by implementing processes of factorization; implements a simulation process based on a superposition principle; samples an inter-arrival time for each mark within a modality by applying the simulation process to generate synthetic data; and simulates the synthetic data using the created model thereby increasing processing speed of the processor for processing the ultra-high dimensional data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using naturally collected data in sensor calibration. One of the methods includes obtaining, using a first, calibrated sensor, a first plurality of raw sensor measurements of an environment; determining, from the first plurality of raw sensor measurements, a Truncated Signed Distance Field (TSDF)-based model of surfaces in the environment; obtaining, using a second sensor, a second plurality of raw sensor measurements of the environment; determining a multi-dimensional point cloud representation of the environment; and determining refined values of the set of calibration parameters of the second sensor based on a difference between, for each data point, (i) the multiple values that define the data point and (ii) multiple values that define a target data point derived from the TSDF-based model of surfaces in the environment.

Abstract: A one-trip screen installation and cleaning system includes a tubular supporting a screen. The tubular has an inner surface defining a flow bore positioned radially inwardly of the screen. At least one actuator extends radially inwardly from the inner surface and is positioned axially offset relative to the screen. The at least one actuator includes at least one actuator surface. A wash pipe is arranged in the flow bore. The wash pipe includes a bypass valve including a selectively openable outlet port, a spray cleaning device arranged axially outwardly of the selectively openable outlet port, and an inflow control valve arranged between the selectively openable outlet port and the spray cleaning device.

Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling efficient object identification and tracking in autonomous vehicle (AV) applications by using velocity data-assisted mapping of first set of points obtained for a first sensing data frame by a sensing system of the AV to a second set of points obtained for a second sensing data frame by the sensing system of the AV, the first set of points and the second set of points corresponding to an object in an environment of the AV, and causing a driving path of the AV to be determined in view of the performed mapping.

Abstract: The present disclosure relates to an all-back-contact photovoltaic device that includes, in order, a substrate, a first electrode having a first surface, an insulator, a second electrode having a second surface, and an active material, where the insulator and the second electrode form a cavity, the active material substantially fills the cavity and is in physical contact with the first surface and the second surface, the insulator includes a first layer and a second layer with the second layer positioned between the first layer and the second contact, and the first layer is constructed of a first material that is different than a second material used to construct the second layer.

Abstract: An apparatus includes a housing configured to be disposed in a borehole in a resource bearing formation, the housing including an axially extending fluid conduit configured to receive borehole fluid, and a seating assembly including a convertible component that is configured to be actuated to move the convertible component in a radial direction between an open position and a seating position. The convertible component extends radially into the fluid conduit and forms a landing seat for an object when in the seating position, and the convertible component allows passage of the object therethrough when in the open position.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to generate long range localization. One of the methods includes obtaining, for a particular location of a vehicle having a camera and a detection sensor, surfel data including a plurality of surfels. Each surfel in the surfel data has a respective location and corresponds to a different respective detected surface in an environment. Image data captured by the camera is obtained. It is determined that a region of interest for detecting objects for a vehicle planning process is outside a detectable region for the detection sensor. In response, it is determined that the image data for the region of interest matches surfel color data for the surfels corresponding to the region of interest. In response, the vehicle planning process is performed with the region of interest designated as having no unexpected objects.

Abstract: Methods, systems, and apparatus for generation and use of surfel maps to plan for occlusions. One of the methods includes receiving a previously-generated surfel map depicting an area in which a vehicle is located, the surfel map comprising a plurality of surfels, each surfel corresponding to a respective different location in the area in which a vehicle is located; receiving, from one or more sensors, sensor data representing the area in which the vehicle is located; determining, based on the sensor data, that the area in which a vehicle is located includes a dynamic object having a changed shape relative to its representation in the surfel map; and generating an updated path for the vehicle to travel that avoids an occlusion by the changed shape of the dynamic object of a line of sight of one or more sensors to an area of interest.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for re-translation for simultaneous, spoken-language machine translation. In some implementations, a stream of audio data comprising speech in a first language is received. A transcription for the speech in the stream of audio data is generated using an automated speech recognizer through a series of updates. A translation of the transcription into a second language is generated using a machine translation module. The translation is generated with translation iterations that translate increasing amounts of the transcription, including re-translating previously portions of the transcription. A series of translation updates are provided to a client device based on the translation iterations.