Abstract:
Systems, methods, and apparatuses including computer program products for machine learning are provided. A method is provided that includes distributing a parameterized model to each worker of a hierarchy of workers, the parameterized model including a plurality of feature functions and corresponding model parameters, processing a portion of training data at each worker of the plurality of workers according to the parameterized model to calculate updates to model parameters, for each worker at a lowest level of the hierarchy of workers, sending the calculated updates to a next higher level worker, for each other worker in the hierarchy of workers, combining updates of the respective worker with updates received from one or more lower level workers, collecting all updates from the workers at a master to generate real updates to the model parameters, and generating an updated model using the real updates to the model parameters.
Abstract:
An assay system for a repellent includes transparent tubing having end chambers; a central testing area positioned between the end chambers; small openings between the central testing area and end chambers; absorbent material positioned adjacent to the openings and being soaked in either a control substance or a repellent; and fruit flies are introduced into the central testing area and allowed to migrate through the openings and into either end chamber.
Abstract:
Methods and systems for controlling drilling operations include using a statistical model to identify at least two controllable drilling parameters having significant correlation to one or more drilling performance measurements. The methods and systems further generate operational recommendations for at least two controllable drilling parameters based at least in part on the statistical model. The operational recommendations are selected to optimize one or more drilling performance measurements.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training acoustic models. Speech data and data identifying a transcription for the speech data are received. A phonetic representation for the transcription is accessed. Training sequences are identified for a particular phone in the phonetic representation. Each of the training sequences includes a different set of contextual phones surrounding the particular phone. A partitioning key is identified based on a sequence of phones that occurs in each of the training sequences. A processing module to which the identified partitioning key is assigned is selected. Data identifying the training sequences and a portion of the speech data are transmitted to the selected processing module.
Abstract:
Systems and method for identifying an unstable subset of burners from among a plurality of burners in a furnace are also disclosed. At least one measurement is obtained from each of the plurality of burners. An instability associated with the furnace is detected. An unstable signal matrix associated with the instability is computed based on the at least one measurement from each of the plurality of burners. An unstable subset of burners is identified based at least in part on the unstable signal matrix.
Abstract:
The embodiments of the present invention disclose a delay circuit. The delay circuit comprises an inverter, a load capacitor, and a first voltage clamping module, wherein the first voltage clamping module generates a voltage drop configured to prolong the propagation delay time of the delay circuit as the power supply voltage decreases. The power supply dependent delay circuit may have a much larger propagation delay time at low power supply voltage than it at high power supply voltage at the rising-edge or falling-edge of an input signal.
Abstract:
The present disclosure discloses a metal layout of an integrated power transistor. The metal layout comprises a 1st metal layer, a 2nd metal layer, and a 3rd metal layer. The metal layout couples the 1st metal layer to the 2nd metal layer through vias, and couples the 2nd metal layer to the 3rd metal layer through super vias. By such interconnection, the metallization resistance is highly reduced by using thick 2nd and 3rd metal layers.
Abstract:
Method for generating a new family of seismic attributes sensitive to seismic texture that can be used for classification and grouping of seismic data into seismically similar regions. A 2D or 3D data analysis window size is selected (23), and for each of multiple positions (25) of the analysis window in the seismic data volume, the data within the window are transformed to a wavenumber domain spectrum (26). At least one attribute of the seismic data is then defined based on one or more spectral properties, and the attribute is computed (28) for each window, generating a multidimensional spectral attribute data volume (29). The attribute data volume can be used for inferring hydrocarbon potential, preferably after classifying the data volume cells based on the computed attribute, partitioning the cells into regions based on the classification, and prioritizing of the regions within a classification.