Abstract: A microelectromechanical system (MEMS) transducer includes a substrate and a pair of electrodes supported by the substrate. The pair of electrodes are configured as a bias electrode-sense electrode couple. A moveable electrode of the pair of electrodes is configured for vibrational movement in a first direction during excitation of the moveable electrode. The pair of electrodes are spaced apart from one another by a gap in a second direction perpendicular to the first direction. The moveable electrode includes a cantilevered end, the cantilevered end being warped to exhibit a resting deflection along the first direction.

Abstract: A mobile device sends to a radio communicatively coupled to the mobile device, an instruction to monitor a frequency band. It is determined that the frequency band is jammed by a jamming source. The mobile device receives, from the radio, signal waveform information corresponding to the frequency band that is received by the radio from a 360 span about the radio. Based on the waveform information a direction of the jamming source is determined. The mobile device presents on a display device information that indicates that the frequency band is being jammed, and a direction of the jamming source with respect to a current location of the radio.

Abstract: An acoustic sensor device comprises a package, a substrate disposed in the package or forming a part of the package, and one or more microelectromechanical system (MEMS) transducers supported by the substrate and packaged in the package. The one or more MEMS transducers include a plurality of sensing elements including at least a first sensing element and a second sensing element. The one or more MEMS transducers are positioned in the package such the first sensing element exhibits a first directionality pick-up pattern with respect to sound waves traveling in an ambient environment of the acoustic sensor device and the second sensing element exhibits a second directionality pick-up pattern with respect to the sound waves traveling in the ambient environment of the acoustic sensor device. The second directionality pick-up pattern is different from the first directionality pick-up pattern.

Abstract: A microphone module includes a first microelectromechanical system (MEMS) transducer comprising a first cantilever and a first fixed electrode and a second MEMS transducer comprising a second cantilever and a second fixed electrode. The first MEMS transducer and the second MEMS transducer are arranged in the microphone module such that when a sound wave traverses the microphone module the sound wave causes the first MEMS transducer and the second MEMS transducer to move in different directions with respect to each other.

Abstract: A method for scaling network traffic includes, at a programmable switching ASIC, receiving n traffic flows from at least one external traffic generator, n being an integer. The method further includes generating, by the programmable switching ASIC and using information from packets in the n traffic flows, m traffic flows, where m is an integer greater than n. The method further includes transmitting, by the programmable switching ASIC, the m traffic flows to a flow destination via device under test.

Abstract: A microelectromechanical system (MEMS) transducer includes a substrate and a pair of electrodes supported by the substrate. The pair of electrodes are configured as a bias electrode-sense electrode couple. A moveable electrode of the pair of electrodes is configured for vibrational movement in a first direction during excitation of the moveable electrode. The pair of electrodes are spaced apart from one another by a gap in a second direction perpendicular to the first direction. The moveable electrode includes a cantilevered end, the cantilevered end being warped to exhibit a resting deflection along the first direction.

Abstract: Certain aspects provide techniques and apparatuses for efficient operation of a machine learning model based on partitioning the machine learning model. An example method generally includes receiving a graph for a machine learning model. The graph for the machine learning model generally includes a plurality of subgraphs representing different portions of the machine learning model. The machine learning model is instantiated across a plurality of process domains associated with a same application based on the plurality of subgraphs in the graph for the machine learning model. An inference is generated based on executing the machine learning model across the plurality of process domains, and one or more actions are taken based on the generated inference.

Abstract: An acoustic sensor device includes a substrate and a first transducer supported by the substrate, the first transducer configured to generate a first output signal when exposed to a sound wave. The acoustic sensor device also include a second transducer supported by the substrate, the second transducer configured to generate a second output signal when exposed to a sound wave. The first transducer and the second transducer are configured such that the first output signal generated by the first transducer and the second output signal generated by the second transducer are opposite in polarity.

Abstract: An acoustic sensor device comprises a package, a substrate disposed in the package or forming a part of the package, and a plurality of microelectromechanical system (MEMS) transducers supported by the substrate and packaged in the package. The plurality of sound ports configured to couple the plurality of MEMS transducers to an ambient environment of the acoustic sensor device. The plurality of sound ports are arranged in the package such that respective MEMS transducers, among the plurality of MEMS transducers, exhibit different directional pick-up patterns with respect to sound waves traveling in the ambient environment of the acoustic sensor device.

Abstract: An electrostatic transducer includes a substrate oriented in a plane, a fixed electrode supported by the substrate, and a moveable electrode supported by the substrate, spaced from the fixed electrode in a first direction parallel to the plane, and configured for movement in a second direction transverse to the plane, such that an extent to which the fixed and moveable electrodes overlap changes during the movement. The fixed and moveable electrodes comprise one or more of a plurality of conductive layers, the plurality of conductive layers including at least three layers. The fixed electrode includes a stacked arrangement of two or more spaced apart conductive layers of the plurality of conductive layers.

Abstract: A microelectromechanical (MEMS) transducer includes a substrate, a moveable electrode supported by the substrate, and a pair of fixed electrodes supported by the substrate, each fixed electrode of the pair of fixed electrodes being configured as a bias or sense electrode. The pair of fixed electrodes are disposed in a stacked arrangement. An end of the moveable electrode is configured for vibrational movement along the stacked arrangement during excitation of the moveable electrode. The pair of fixed electrodes are laterally spaced apart from the end of the moveable electrode to establish a capacitance indicative of the vibrational movement.

Abstract: A sealing head for use in manufacturing a single-use pod, the sealing head comprising: a sealing assembly for securing a lid to a body of the pod, the sealing assembly having a sealing surface for pressing against the lid; and a ram assembly for separating the pod from the sealing assembly, the ram being at least partially movable relative to the sealing surface between a retracted position and an extended position, wherein in the retracted position a pressing face of the ram assembly is aligned with or recessed from the sealing surface, and in the extended position the pressing face extends beyond the sealing surface to contact the pod and separate the pod from the sealing assembly.

Abstract: A method for scaling network traffic includes, at a programmable switching ASIC, receiving n traffic flows from at least one external traffic generator, n being an integer. The method further includes generating, by the programmable switching ASIC and using information from packets in the n traffic flows, m traffic flows, where m is an integer greater than n. The method further includes transmitting, by the programmable switching ASIC, the m traffic flows to a flow destination via device under test.

Abstract: A method of manufacturing a tube assembly includes surrounding an outer surface of a cured rubber hose with a thermoplastic layer, the cured rubber hose extending along a length between a first end and a second end and having a first shape along its length, the thermoplastic layer surrounding the cured rubber hose along at least a portion of the length. The cured rubber hose surrounded with the thermoplastic layer is molded into a second shape different than the first shape. The cured rubber hose is retained in the second shape by the thermoplastic layer. A tube assembly includes a cured rubber hose and thermoplastic layer surrounding the rubber hose along at least a portion of the length of the cured rubber hose. The cured rubber hose has been cured in a first shape along its length and the thermoplastic layer retains the cured rubber hose in a second shape.

Abstract: In variants, a method for automated gamete selection can include: sampling a video of a scene having a plurality of gametes, tracking each gamete across successive images, and determining attribute values for a gamete, and selecting the gamete. The attribute values can be determined using a model trained to predict the attribute values for the gamete based on a video.

Abstract: In variants, a method for automated gamete selection can include: sampling a video of a scene having a plurality of gametes, tracking each gamete across successive images, and determining attribute values for a gamete, and selecting the gamete. The attribute values can be determined using a model trained to predict the attribute values for the gamete based on a video.

Abstract: In variants, a method for automated gamete selection can include: sampling a video of a scene having a plurality of gametes, tracking each gamete across successive images, and determining attribute values for a gamete, and selecting the gamete. The attribute values can be determined using a model trained to predict the attribute values for the gamete based on a video.

Abstract: A microelectromechanical system (MEMS) transducer includes a substrate and a pair of electrodes supported by the substrate. The pair of electrodes are configured as a bias electrode-sense electrode couple. A moveable electrode of the pair of electrodes is configured for vibrational movement in a first direction during excitation of the moveable electrode. The pair of electrodes are spaced apart from one another by a gap in a second direction perpendicular to the first direction. The moveable electrode includes a cantilevered end, the cantilevered end being warped to exhibit a resting deflection along the first direction.

Abstract: In variants, a method for automated gamete selection can include: sampling a video of a scene having a plurality of gametes, tracking each gamete across successive images, and determining attribute values for a gamete, and selecting the gamete. The attribute values can be determined using a model trained to predict the attribute values for the gamete based on a video.

Abstract: An acoustic sensor device comprises a package and a substrate disposed in the package. The acoustic sensor device also comprises a microelectromechanical system (MEMS) transducer formed in the substrate, the MEMS transducer i) comprising a cantilever structure and ii) having a first acoustic impedance and at least two sound ports positioned on the package on opposing sides of the MEMS transducer. The at least two sound ports coupling the MEMS transducer to an ambient environment via respective acoustic channels formed in the package, wherein the at least two sound ports are positioned on the package in a manner that ensures that the respective acoustic channels have a combined second acoustic impendence that is less the first acoustic impedance of the MEMS transducer.