Abstract: Systems and methods for automatic recognition of entities related to cloud incidents are described. A method, implemented by at least one processor, for processing cloud incidents related information, including entity names and entity values associated with incidents having a potential to adversely impact products or services offered by a cloud service provider is provided. The method may include using at least one processor, processing the cloud incidents related information to convert at least words and symbols corresponding to a cloud incident into machine learning formatted data. The method may further include using a machine learning pipeline, processing at least a subset of the machine learning formatted data to recognize entity names and entity values associated with the cloud incident.

Abstract: A computer implemented method includes receiving an exception generated based on programming code, generating exception features from the received exception, the generated exception features being generated based on a set exception features derived from search logs, and executing a machine learning model on the received exception and generated exception features to provide information from the search logs identified as most helpful to resolve the received exception, wherein the machine learning model was trained on training data comprising extracted exceptions and the set of exception features derived from the search logs.

Abstract: Embodiments promote searcher productivity and efficient search engine usage by using extraquery context to detect a searcher's intent, and using detected intent to match searches to well-suited search providers. Extraquery context may include cursor location, open files, and other editing information, tool state, tool configuration or environment, project metadata, and other information external to actual search query text. Search intent may be code (seeking snippets) or non-code (seeking documentation), and sub-intents may be distinguished for different kinds of documentation or different programming languages. Search provider capabilities may reflect input formats such as natural language or logical operator usage, or content scope such as web-wide or local, or other search provider technical characteristics.

Abstract: Embodiments promote searcher productivity and efficient search engine usage by using extraquery context to detect a searcher's intent, and using detected intent to match searches to well-suited search providers. Extraquery context may include cursor location, open files, and other editing information, tool state, tool configuration or environment, project metadata, and other information external to actual search query text. Search intent may be code (seeking snippets) or non-code (seeking documentation), and sub-intents may be distinguished for different kinds of documentation or different programming languages. Search provider capabilities may reflect input formats such as natural language or logical operator usage, or content scope such as web-wide or local, or other search provider technical characteristics.

Abstract: Systems and methods for automatic recognition of entities related to cloud incidents are described. A method, implemented by at least one processor, for processing cloud incidents related information, including entity names and entity values associated with incidents having a potential to adversely impact products or services offered by a cloud service provider is provided. The method may include using at least one processor, processing the cloud incidents related information to convert at least words and symbols corresponding to a cloud incident into machine learning formatted data. The method may further include using a machine learning pipeline, processing at least a subset of the machine learning formatted data to recognize entity names and entity values associated with the cloud incident.

Abstract: A computer implemented method includes receiving an exception generated based on programming code, generating exception features from the received exception, the generated exception features being generated based on a set exception features derived from search logs, and executing a machine learning model on the received exception and generated exception features to provide information from the search logs identified as most helpful to resolve the received exception, wherein the machine learning model was trained on training data comprising extracted exceptions and the set of exception features derived from the search logs.

Abstract: A device for treating or acting on workpiece surfaces by means of an actuator, such as a cutting or engraving laser or a nozzle for applying oils, paints, adhesives, dyes, or etchants is disclosed. An ultrasonic levitation force field is generated by means of a sonotrode, which is coupled to the actuator into a working unit, such that the movably suspended working unit is supported on the workpiece surface in a hovering manner. The ultrasonic levitation force field allows a highly precise positioning of the working unit relative to the workpiece surface so as to allow a precise treatment or machining of the workpiece surface.

Abstract: A system comprises a receiver comprising a first pseudorandom binary sequence module, and a transmitter comprising a second pseudorandom binary sequence module. The first pseudorandom binary sequence module is initialized with a first received bit sequence to start bit sequence generation with the aid of the second pseudorandom binary sequence module. Further, received remaining bits are compared to bit sequences generated with the aid of the first pseudorandom binary sequence module to determine whether a bit error rate is below a predefined threshold.

Abstract: A system comprises a receiver comprising a first pseudorandom binary sequence module, and a transmitter comprising a second pseudorandom binary sequence module. The first pseudorandom binary sequence module is initialized with a first received bit sequence to start bit sequence generation with the aid of the second pseudorandom binary sequence module. Further, received remaining bits are compared to bit sequences generated with the aid of the first pseudorandom binary sequence module to determine whether a bit error rate is below a predefined threshold.

Abstract: A device for inspecting a workpiece surface includes a sensor, a sonotrode having a sound-emitting surface and rigidly connected to the sensor to form a sensor unit, and a movable positioning device coupled with the sensor unit to position the sensor unit in a position opposite to the workpiece surface. The positioning device includes a force-applying member to urge the sensor unit in a direction of the workpiece or strip material surface by applying a predefined urging force or using gravity as the urging force. The sound-emitting surface of the sonotrode generates ultrasonic oscillations to produce an ultrasonic levitation force field in the presence of a gaseous medium between the workpiece surface and the sound-emitting surface to thereby generate a counterforce in opposition to the urging force so that the sensor unit is held hovering at a distance to the workpiece or strip surface.

Abstract: A method for generating productivity insights includes receiving health data for a user of a productivity evaluation service. From the health data, health behaviors and health effects of the user are determined. Productivity data for the user is received, and from the productivity data, productivity behaviors and productivity effects of the user are determined. Associations between changes in the health data and changes in the productivity data are identified. Based on one of the associations, a productivity insight is generated for the user including a prompt to engage in a health behavior that is associated with a desirable productivity effect.

Abstract: A reaming tool includes a main tool body disposed about a rotational axis, a plurality of peripherally arranged cutting inserts coupled to the tool body, and a fine adjustment mechanism associated with each cutting insert. The adjustment mechanism includes an adjusting screw with a conical section that acts on the cutting insert for fine adjustment, the conical section being arranged between a first and a second cylindrical guide section. The two guide sections ensure high-precision guidance of the adjusting screw.

Abstract: A device for gripping a substrate without contact with which the substrate can be more securely transported. In the device, a housing cap has an air inlet in the upper surface and a lower opening, the lower opening communicating with the air inlet such that air introduced through the air inlet exits through the lower opening. A contour of the lower opening in its vertical cross section is convexly rounded such that the introduced air is guided along a horizontal undersurface of the housing cap. A nozzle is disposed in an inner hollow space of the housing cap, and has an inclined surface such that the width of the nozzle gradually decreases in the direction from the undersurface of the nozzle to the upper surface of the nozzle adjacent to the air inlet. The undersurface of the nozzle is at a predetermined distance from the inner surface of the housing cap. An ultrasonic shaker applies ultrasonic vibration to the housing cap.

Abstract: A device for inspecting a workpiece surface includes a sensor, a sonotrode having a sound-emitting surface and rigidly connected to the sensor to form a sensor unit, and a movable positioning device coupled with the sensor unit to position the sensor unit in a position opposite to the workpiece surface. The positioning device includes a force-applying member to urge the sensor unit in a direction of the workpiece or strip material surface by applying a predefined urging force or using gravity as the urging force. The sound-emitting surface of the sonotrode generates ultrasonic oscillations to produce an ultrasonic levitation force field in the presence of a gaseous medium between the workpiece surface and the sound-emitting surface to thereby generate a counterforce in opposition to the urging force so that the sensor unit is held hovering at a distance to the workpiece or strip surface.

Abstract: A device for treating or acting on workpiece surfaces by means of an actuator, such as a cutting or engraving laser or a nozzle for applying oils, paints, adhesives, dyes, or etchants is disclosed. An ultrasonic levitation force field is generated by means of a sonotrode, which is coupled to the actuator into a working unit, such that the movably suspended working unit is supported on the workpiece surface in a hovering manner. The ultrasonic levitation force field allows a highly precise positioning of the working unit relative to the workpiece surface so as to allow a precise treatment or machining of the workpiece surface.

Abstract: In one aspect, cutting tools are described herein employing PCD substrates having coatings applied thereto. A cutting tool, for example, comprises one or more cutting edges including a PCD substrate and a diamond-like carbon coating adhered to the PCD substrate, the diamond-like carbon coating having hardness greater than 4000 HV0.05. In some embodiments, the diamond-like carbon coating has a thickness greater than 0.3 ?m and a sp3 fraction of at least 0.85.

Abstract: Techniques pertaining to analyzing power consumed by a processing unit in a mobile computing device caused by execution of certain modules are described herein. A power trace is generated that indicates an amount of power consumed by the processing unit over time, and the power trace is aligned with an execution log. Spikes are extracted from the power trace, and computing operations are performed over the spikes to acquire data pertaining to power consumed by the processing unit that are attributable to modules in the execution log.

Abstract: A system is described herein that predicts defects in a portion of code of an application that is configured to execute on a computing device. Versions of code are analyzed to locate change bursts, which are alterations to at least one portion of code over time-related events. If a change burst is identified, defects are predicted with respect to the code based at least in part upon the identified change burst.

Abstract: A vacuum gripper for gripping a work-piece includes a flat or curved gripper plate having at least one suction port. A work-piece suction throttling zone is formed around the suction port. The gripper plate has at least one recess provided at a side facing the work-piece and arranged beyond the work-piece suction throttling zone (6) formed around the suction port. At least one vent hole is formed within each of the recesses.

Abstract: A device for gripping a substrate without contact with which the substrate can be more securely transported. In the device, a housing cap has an air inlet in the upper surface and a lower opening, the lower opening communicating with the air inlet such that air introduced through the air inlet exits through the lower opening. A contour of the lower opening in its vertical cross section is convexly rounded such that the introduced air is guided along a horizontal undersurface of the housing cap. A nozzle is disposed in an inner hollow space of the housing cap, and has an inclined surface such that the width of the nozzle gradually decreases in the direction from the undersurface of the nozzle to the upper surface of the nozzle adjacent to the air inlet. The undersurface of the nozzle is at a predetermined distance from the inner surface of the housing cap. An ultrasonic shaker applies ultrasonic vibration to the housing cap.