Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a neural network to perform a machine learning task through reinforcement learning. In one aspect, the training uses importance weights generated using standardized absolute deviations of quality scores generated by the neural network for candidate network outputs.

Abstract: A liquid dispenser comprising a liquid pump. The liquid pump comprises a first liquid inlet configured to allow the introduction of a first liquid into a mixing chamber; a second liquid inlet configured to allow the introduction of a second liquid into the mixing chamber; an outlet valve configured to regulate the release of a mixed liquid from the mixing chamber, the mixed liquid being a blend of the first liquid and the second liquid; and a reciprocating member configured to effect a reciprocating movement along a longitudinal axis, the reciprocating member being configured to regulate the aperture of the outlet valve. The liquid dispenser comprises a piezoelectric detector arranged in such a way that when the liquid pump generates a shockwave, the shockwave is detected by the piezoelectric detector, the piezoelectric detector generating a voltage peak which is a function of the shockwave.

Abstract: An acoustic resonator device with low thermal impedance has a substrate and a single-crystal piezoelectric plate having a back surface attached to a top surface of the substrate via a bonding oxide (BOX) layer. An interdigital transducer (IDT) formed on the front surface of the plate has interleaved fingers disposed on the diaphragm. The piezoelectric plate and the BOX layer are removed from a least a portion of the surface area of the device to provide lower thermal resistance between the conductor pattern and the substrate.

Abstract: There is described a neural network system for generating a graph, the graph comprising a set of nodes and edges. The system comprises one or more neural networks configured to represent a probability distribution over sequences of node generating decisions and/or edge generating decisions, and one or more computers configured to sample the probability distribution represented by the one or more neural networks to generate a graph.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting an input vocabulary for a machine learning model using power indices. One of the methods includes computing a respective score for each of a plurality of text tokens in an initial vocabulary and then selecting the text tokens in the input vocabulary based on the respective scores.

Abstract: A liquid dispenser comprising a liquid pump. The liquid pump comprises a first liquid inlet configured to allow the introduction of a first liquid into a mixing chamber; a second liquid inlet configured to allow the introduction of a second liquid into the mixing chamber; an outlet valve configured to regulate the release of a mixed liquid from the mixing chamber, the mixed liquid being a blend of the first liquid and the second liquid; and a reciprocating member configured to effect a reciprocating movement along a longitudinal axis, the reciprocating member being configured to regulate the aperture of the outlet valve. The liquid dispenser comprises a piezoelectric detector arranged in such a way that when the liquid pump generates a shockwave, the shockwave is detected by the piezoelectric detector, the piezoelectric detector generating a voltage peak which is a function of the shockwave.

Abstract: There is described a neural network system for generating a graph, the graph comprising a set of nodes and edges. The system comprises one or more neural networks configured to represent a probability distribution over sequences of node generating decisions and/or edge generating decisions, and one or more computers configured to sample the probability distribution represented by the one or more neural networks to generate a graph.

Abstract: A system incorporating a fluid dispenser for dispensing chemicals includes at least one sensor for sensing fluid flow and a dispenser management unit. The dispenser management unit includes a processor and corresponding storage memory for storing firmware, at least one input for receiving sensor data from the or each sensor, a data transfer device comprising storage memory for storing the received sensor data, and a power source for powering at least the processor. The system further incorporates a portable terminal configured to receive data from the dispenser, and a remote server configured to receive the data from the portable terminal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a target sequence from an input sequence. In one aspect, a method comprises maintaining a set of current hypotheses, wherein each current hypothesis comprises an input prefix and an output prefix. For each possible combination of input and output prefix length, the method extends any current hypothesis that could reach the possible combination to generate respective extended hypotheses for each such current hypothesis; determines a respective direct score for each extended hypothesis using a direct model; determines a first number of highest-scoring hypotheses according to the direct scores; rescores the first number of highest-scoring hypotheses using a noisy channel model to generate a reduced number of hypotheses; and adds the reduced number of hypotheses to the set of current hypotheses.

Abstract: A fluid end assembly of a hydraulic fluid pump includes a housing having a bore, a removable valve cover closing the bore, and a retainer engaging the bore. The retainer includes a set screw bore that extends from a first side of the retainer to a second side of the retainer, opposite the first side. The fluid end assembly further includes a set screw. The set screw is threaded into the set screw bore from the first side of the retainer. The set screw is not removable from the second side of the retainer. The first side of the retainer is positioned adjacent to the valve cover.

Abstract: A liquid dispenser comprising a liquid pump. The liquid pump comprises a first liquid inlet configured to allow the introduction of a first liquid into a mixing chamber; a second liquid inlet configured to allow the introduction of a second liquid into the mixing chamber; an outlet valve configured to regulate the release of a mixed liquid from the mixing chamber, the mixed liquid being a blend of the first liquid and the second liquid; and a reciprocating member configured to effect a reciprocating movement along a longitudinal axis, the reciprocating member being configured to regulate the aperture of the outlet valve. The liquid dispenser comprises a piezoelectric detector arranged in such a way that when the liquid pump generates a shockwave, the shockwave is detected by the piezoelectric detector, the piezoelectric detector generating a voltage peak which is a function of the shockwave.

Abstract: The present invention relates to a system (300) for monitoring fluid dispensers, comprising: at least one fluid dispenser (100) for dispensing chemicals, comprising a sensor (116) for sensing fluid flow; a dispenser management unit (102) comprising: a processor (120), and corresponding storage memory for storing firmware; at least one input for receiving sensor data from the or each sensor; a data transfer device (126) comprising storage memory for storing said received sensor data; and a power source (122) for powering at least said processor; a portable terminal (302) comprising a device reader and a terminal communications module; and a remote server (304) comprising a server communications module, wherein said remote server is configured to communicate with said terminal via a communications link between said terminal communications module and said server communications module; wherein said terminal further comprises storage memory for storing sensor data received from the or each fluid dispenser data tra

Abstract: A well servicing pump includes a power end and a fluid end operably coupled to the power end. The fluid end includes a casing that defines at least one pumping chamber, the pumping chamber at least partially defined by a spherical wall, and a first cylindrical wall extending along a first axis and defining a portion of a power end bore, the first cylindrical wall intersecting the spherical wall to define a first interface edge. A second cylindrical wall extends along a second axis and defines a portion of a discharge bore, the second cylindrical wall intersecting the spherical wall to define a second interface edge, and a third cylindrical wall extends along a third axis and defines a portion of a suction bore, the third cylindrical wall intersecting the spherical wall to define a third interface edge, wherein the first axis, the second axis, and the third axis are arranged between 100 and 140 degrees with respect to one another.

Abstract: There is described a neural network system for generating a graph, the graph comprising a set of nodes and edges. The system comprises one or more neural networks configured to represent a probability distribution over sequences of node generating decisions and/or edge generating decisions, and one or more computers configured to sample the probability distribution represented by the one or more neural networks to generate a graph.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a target sequence from an input sequence. In one aspect, a method comprises maintaining a set of current hypotheses, wherein each current hypothesis comprises an input prefix and an output prefix. For each possible combination of input and output prefix length, the method extends any current hypothesis that could reach the possible combination to generate respective extended hypotheses for each such current hypothesis; determines a respective direct score for each extended hypothesis using a direct model; determines a first number of highest-scoring hypotheses according to the direct scores; rescores the first number of highest-scoring hypotheses using a noisy channel model to generate a reduced number of hypotheses; and adds the reduced number of hypotheses to the set of current hypotheses.

Abstract: A fluid end assembly of a hydraulic fluid pump includes a housing having an axial bore, a removable valve cover closing the axial bore, and a retainer engaging the axial bore. The retainer includes a central opening. The fluid end assembly further includes a threaded drive member positioned within the central opening and operable to apply a preload against the retainer.

Abstract: A fluid end assembly of a hydraulic fluid pump includes a housing having a bore, a removable valve cover closing the bore, and a retainer engaging the bore. The retainer includes a set screw bore that extends from a first side of the retainer to a second side of the retainer, opposite the first side. The fluid end assembly further includes a set screw. The set screw is threaded into the set screw bore from the first side of the retainer. The set screw is not removable from the second side of the retainer. The first side of the retainer is positioned adjacent to the valve cover.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a target sequence from an input sequence. In one aspect, a method comprises maintaining a set of current hypotheses, wherein each current hypothesis comprises an input prefix and an output prefix. For each possible combination of input and output prefix length, the method extends any current hypothesis that could reach the possible combination to generate respective extended hypotheses for each such current hypothesis; determines a respective direct score for each extended hypothesis using a direct model; determines a first number of highest-scoring hypotheses according to the direct scores; rescores the first number of highest-scoring hypotheses using a noisy channel model to generate a reduced number of hypotheses; and adds the reduced number of hypotheses to the set of current hypotheses.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a target sequence from an input sequence. In one aspect, a method comprises maintaining a set of current hypotheses, wherein each current hypothesis comprises an input prefix and an output prefix. For each possible combination of input and output prefix length, the method extends any current hypothesis that could reach the possible combination to generate respective extended hypotheses for each such current hypothesis; determines a respective direct score for each extended hypothesis using a direct model; determines a first number of highest-scoring hypotheses according to the direct scores; rescores the first number of highest-scoring hypotheses using a noisy channel model to generate a reduced number of hypotheses; and adds the reduced number of hypotheses to the set of current hypotheses.

Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.