Abstract: A method of measuring cross-correlation or similarity between input features and filters of neural networks using an RRAM-crossbar architecture to carry out addition/subtraction-based neural networks for in-memory computing. The correlation calculations use L1 norm operations of AdderNet. The RCM structure of the RRAM-cross bar has storage and computing collocated, such that processing is done in the analog domain with low power, low latency and small area. In addition, the impact due to the nonidealities of RRAM device can be alleviated by the implicit ratio-based feature of the structure.

Abstract: A method is provided for manufacturing a segment of a drill string, such as a tubular tool, from a plurality of layers. The method includes arranging a plurality of layers based on a selected length of the segment. Each of the plurality of layers includes an aperture that is received over an alignment feature that restricts movement of the plurality of layers to two or fewer degrees of freedom. A joining process is performed to join the plurality of layers, which may include at least one replacement layer.

Abstract: A method is provided for manufacturing a segment of a drill string, such as a tubular tool, from a plurality of layers. The method includes arranging a plurality of layers based on a selected length of the segment. Each of the plurality of layers includes an aperture that is received over an alignment feature that restricts movement of the plurality of layers to two or fewer degrees of freedom. A joining process is performed to join the plurality of layers, which may include at least one replacement layer.

Abstract: A method is provided for manufacturing a segment of a drill string, such as a tubular tool, from a plurality of layers. The method includes arranging a plurality of layers based on a selected length of the segment. Each of the plurality of layers includes an aperture that is received over an alignment feature that restricts movement of the plurality of layers to two or fewer degrees of freedom. A joining process is performed to join the plurality of layers, which may include at least one replacement layer.

Abstract: A method is provided for manufacturing a segment of a drill string, such as a tubular tool, from a plurality of layers. The method includes arranging a plurality of layers based on a selected length of the segment. Each of the plurality of layers includes an aperture that is received over an alignment feature that restricts movement of the plurality of layers to two or fewer degrees of freedom. A joining process is performed to join the plurality of layers, which may include at least one replacement layer.

Abstract: Statistical speech recognition application call data is visually presented. A data model is built using speech application data from disparate events. The data model is modified using predetermined abstraction rules. The modified data model is translated into a visual representation of the modified data model with multiple levels of abstraction. The visual representation of the data model is graphically displayed via an interactive graphical user interface that accepts user requests. A graphical display of the visual representation of the data model is transformed in response to receiving a user request via the interactive graphical user interface. The graphical display of a first speech data aggregate at a first level of abstraction and a second speech data aggregate at a second level of abstraction are changed as a result of the transformation.

Abstract: Echo residue is detected using speech application data. The echo residue is detected using a method that includes correlating audio data from an input channel with audio data from an output channel to obtain a correlation result. A determined value of the correlation result is compared with a predetermined threshold. The audio data for the input channel is categorized in a first category when the determined value of the correlation result is greater than the predetermined threshold. The audio data for the input channel is categorized in a second category when the determined value of the correlation result is less than the predetermined threshold. The first category includes audio data that is determined to include an acceptable level of residual echo. The second category includes audio data that is determined to include an unacceptable level of residual echo.

Abstract: A method integrates data from disparate speech recognition system data sources. The method includes receiving data from disparate speech recognition system data sources including a first speech recognition system data source and a second speech recognition system data source. The method also includes discovering rules that relate the data from the first speech recognition system data source to the data from the second speech recognition system data source. The method further includes integrating the data from the first speech recognition system data source and the data from the second speech recognition system data source based upon the discovered rules.

Abstract: A packaging card for holding a refill spool. The packaging card includes a hanger cut-out for hanging the refill spool on a display rack. The packaging card comprises a main panel, a bottom panel, a support panel and an end panel. The main panel is connected to the bottom panel by a hinged connection such as a crease line. The bottom panel and the support panel are connected by a crease line. The support panel is also connected to the end panel by a crease line. The end panel is affixed to a portion of the main panel using an adhesive, and the end panel and support panel form a buttress to support the bottom panel. The bottom panel provides a support platform for holding the spool. The crease lines between the end, support and bottom panels allow the packaging card to be folded flat, for example, for packing and shipping to the refill spool manufacturer.