Abstract: In one aspect, an audio playback device having at least one microphone captures a voice input. The playback device detects, within the voice input, at least one keyword from among a plurality of command keywords supported by the playback device. The playback device determines, via a local natural language unit (NLU), an intent based on the keyword. The keyword is then evaluated based at least in part on a volume characteristic of the voice input. Based on the evaluation, the playback device either forgoes further processing of the voice input or performs a command in accordance with the determined intent.

Abstract: Examples described herein relate to triggering voice assistant(s) on a network microphone device (NMD). An NMD is a networked computing device that typically includes an arrangement of microphones, such as a microphone array, that is configured to detect sound present in the NMD's environment. Once the voice assistant is triggered, the NMD may start recording voice input as a potential voice command. Within examples, the NMD may operate in a wakewordless mode if certain conditions are met. These conditions may involve detecting user proximity in one of multiple different ranges. For instance, an example NMD may monitor for user proximity in a first range from the playback device via at least one touch-sensitive sensor and/or user line-of-sight in a second range that is further from the playback device than the first range. When either user proximity or user line-of-sight is detected, the NMD may enables the wakewordless mode.

Abstract: Systems and methods of generating lane selection cost maps to control autonomous vehicles are disclosed. An autonomous vehicle system can receive a plurality of cost values from a plurality of components of an autonomous vehicle; generate a lane selection cost map based on the plurality of cost values; determining that the autonomous vehicle should change lanes based on the lane selection cost map; and transmit a command that causes the autonomous vehicle to change lanes responsive to determining that the autonomous vehicle should change lanes.

Abstract: Embodiments herein include systems and methods of generating lane selection cost values to control autonomous vehicles to accommodate merging vehicles in a tapering lane (or merge lane). An autonomy system can identify a tapering lane in map data and detect a merging vehicle situated in the tapering lane using perception sensor data. The autonomy system includes a lane-selection cost function that generates lane-selection cost values for the lanes available to the automated vehicle, which the autonomy system references to determine whether to continue traveling a current lane or change lanes into an adjacent lane. The lane-selection cost function may apply a courtesy weight when detecting the merging vehicle, such that the autonomy system causes the automated vehicle to change lanes as a courtesy to the merging vehicle, but without overriding other safety-related factors of the lane-selection cost function or trajectory planning functions.

Abstract: Embodiments herein include systems and methods of generating lane selection cost values to control autonomous vehicles to accommodate merging vehicles in a tapering lane (or merge lane). An autonomy system can identify a tapering lane in map data and detect a merging vehicle situated in the tapering lane using perception sensor data. The autonomy system includes a lane-selection cost function that generates lane-selection cost values for the lanes available to the automated vehicle, which the autonomy system references to determine whether to continue traveling a current lane or change lanes into an adjacent lane. The lane-selection cost function may apply a courtesy weight when detecting the merging vehicle, such that the autonomy system causes the automated vehicle to change lanes as a courtesy to the merging vehicle, but without overriding other safety-related factors of the lane-selection cost function or trajectory planning functions.

Abstract: A method for calibrating an electromagnetic measurement tool includes deploying a test loop about a first antenna in the electromagnetic measurement tool and electromagnetically coupling the test loop and the first antenna and measuring a first voltage. The test loop is then deploying about a second antenna in the electromagnetic measurement tool and electromagnetic ally coupling the test loop and the second antenna and measuring a second voltage. A ratio of the first voltage to the second voltages is computed that can be used to calibrate the first antenna with respect to the second antenna.

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract: Examples described herein relate to triggering voice assistant(s) on a network microphone device (NMD). An NMD is a networked computing device that typically includes an arrangement of microphones, such as a microphone array, that is configured to detect sound present in the NMD's environment. Once the voice assistant is triggered, the NMD may start recording voice input as a potential voice command. Within examples, the NMD may operate in a wakewordless mode if certain conditions are met. These conditions may involve detecting user proximity in one of multiple different ranges. For instance, an example NMD may monitor for user proximity in a first range from the playback device via at least one touch-sensitive sensor and/or user line-of-sight in a second range that is further from the playback device than the first range. When either user proximity or user line-of-sight is detected, the NMD may enables the wakewordless mode.

Abstract: Mandibular advancement measurement and positioning device provided with an instrument (1) with an upper slider (2) and a lower slider (3), means to measure and position the relative displacement of both sliders and two trays at one end of the instrument, one upper and one lower (11a, 11b), the trays being attached to each slider respectively, wherein the lower slider is divided into a fixed part (3a) and a pivoting part (3b) joined to the end of the fixed part (3a), being the upper and lower slider joined by means of a recess that allows a relative slide of both and wherein the pivoting part (3b) of the lower slider is provided with a vertical opening control (6). By means of the pivoting part and the opening control it is possible to measure and position the vertical opening.

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract: In one aspect, an audio playback device having at least one microphone captures a voice input. The playback device detects, within the voice input, at least one keyword from among a plurality of command keywords supported by the playback device. The playback device determines, via a local natural language unit (NLU), an intent based on the keyword. The keyword is then evaluated based at least in part on a volume characteristic of the voice input. Based on the evaluation, the playback device either forgoes further processing of the voice input or performs a command in accordance with the determined intent.

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract: A method for calibrating an electromagnetic measurement tool includes deploying a test loop about a first antenna in the electromagnetic measurement tool and electromagnetically coupling the test loop and the first antenna and measuring a first voltage. The test loop is then deploying about a second antenna in the electromagnetic measurement tool and electromagnetic ally coupling the test loop and the second antenna and measuring a second voltage. A ratio of the first voltage to the second voltages is computed that can be used to calibrate the first antenna with respect to the second antenna.

Abstract: In an embodiment, a data processing method comprises accessing a computer memory comprising a shareable cell-based computation notebook comprising: notebook metadata specifying a kernel for execution, and a computational cell comprising cell metadata, a source code reference, and an output reference, wherein the cell metadata identifies a particular version of source code of a function that defines an input dataset, a transformation, and one or more variables that are to be associated with output data that is to be generated as a result of executing the particular version of the source code; updating the source code reference to identify a first storage location that is to contain the particular version of the source code of the function; and updating the output reference to identify a second storage location that is to contain the output data that is to be generated as a result of executing the particular version of the source code identified in the cell metadata using the kernel specified in the notebook me

Abstract: A system for providing air conditioning to a living space and heating potable water. The system comprising a heat pump circuit comprising a compressor for circulating a refrigerant around the heat pump circuit, a first condenser, a second condenser and an evaporator. The evaporator being adapted to receive a first flow of air from an air inlet to transfer heat from the first flow of air to the refrigerant. The first condenser being adapted to receive a flow of water to transfer heat from the refrigerant to the water. The second condenser being adapted to receive a second flow of air to transfer heat from the refrigerant to the second flow of air. The first flow being provided from the evaporator to a living space by an air outlet.

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract: A solar thermal control system includes a membrane configured to receive solar energy, wherein the membrane is configured to form a cavity between the membrane and an outer surface of a structure by coupling to the outer surface, and wherein the solar energy is configured to heat air within the cavity. The control system also includes a thermal collection unit configured to connect to the cavity and receive and direct air from the cavity, and a ducting system coupled to the thermal collection unit and configured to direct air from the thermal collection unit to at least one of the interior of the structure and a vent.

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract: Examples described herein relate to triggering voice assistant(s) on a network microphone device (NMD). An NMD is a networked computing device that typically includes an arrangement of microphones, such as a microphone array, that is configured to detect sound present in the NMD's environment. Once the voice assistant is triggered, the NMD may start recording voice input as a potential voice command. Within examples, the NMD may operate in a wakewordless mode if certain conditions are met. These conditions may involve detecting user proximity in one of multiple different ranges. For instance, an example NMD may monitor for user proximity in a first range from the playback device via at least one touch-sensitive sensor and/or user line-of-sight in a second range that is further from the playback device than the first range. When either user proximity or user line-of-sight is detected, the the NMD may enables the wakewordless mode.