Abstract: An optical device may include a substrate including a conductive core, a first layer stack on a first surface of the conductive core, a conductor-filled trench extending through the first layer stack to the conductive core such that the conductor-filled trench is on the first surface of the conductive core, and a second layer stack on a second surface of the conductive core. The optical device may include a vertical-cavity surface-emitting laser (VCSEL) chip above the conductor-filled trench. The VCSEL chip may include an array of VCSELs. A size of the conductor-filled trench may match a size of the VCSEL chip, match a size of an emission region of the array of VCSELs, or be greater than the size of the emission region of the array of VCSELs and less than the size of the VCSEL chip.

Abstract: An optical device may include a substrate including a conductive core, a first layer stack on a first surface of the conductive core, a conductor-filled trench extending through the first layer stack to the conductive core such that the conductor-filled trench is on the first surface of the conductive core, and a second layer stack on a second surface of the conductive core. The optical device may include a vertical-cavity surface-emitting laser (VCSEL) chip above the conductor-filled trench. The VCSEL chip may include an array of VCSELs. A size of the conductor-filled trench may match a size of the VCSEL chip, match a size of an emission region of the array of VCSELs, or be greater than the size of the emission region of the array of VCSELs and less than the size of the VCSEL chip.

Abstract: Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.

Abstract: Disclosed are systems and techniques for performing mapping using radio frequency (RF) sensing. For instance, a server can obtain a first set of RF sensing data and orientation data corresponding to a first wireless device from a plurality of wireless devices. The first set of RF sensing data can be associated with at least one received waveform that is a reflection of a transmitted waveform from a first reflector. Based on the first set of RF sensing data, orientation data, and location data corresponding to the first wireless device, an indoor map can be generated that includes a reference to the reflector.

Abstract: In some implementations, a housing for an electro-optical device comprises a molded dielectric structural component, an electromagnetic interference (EMI) shield, and a plurality of conductive traces. The molded dielectric structural component may be configured to separate the EMI shield and the plurality of conductive traces.

Abstract: A medical episode analysis engine is provided. The engine generates a first matrix data structure having an entry for each concept pairing and storing a value representing relatedness weighted according to a temporal weighting function. The engine generates a second matrix data structure by calculating, for each entry in the first matrix, a relatedness measure of the concepts in the concept pairing based on a frequency of occurrence together. The engine generates, for each first concept, a concept embedding, based on the second matrix, that specifies, for each other second concept, a temporally weighted relatedness measure. The engine generates, for each anchor concepts, a corresponding episode definition comprising a plurality of related concepts corresponding to a same episode, based on the concept embedding. The engine processes new input data based on the episode definition data structures to identify instances of corresponding episodes in the new input data.

Abstract: In some implementations, an emitter assembly includes a vertical cavity surface emitting laser (VCSEL) chip including a plurality of VCSELs. The emitter assembly may include a plurality of conductive pillars electrically connected to the VCSEL chip. The emitter assembly may include a dummy pillar, electrically isolated from the VCSEL chip, mating with a slot. The VCSEL chip may include one of the dummy pillar or the slot.

Abstract: In some implementations, an emitter assembly includes a vertical cavity surface emitting laser (VCSEL) chip including a plurality of VCSELs in a bottom-emitting configuration, and multiple VCSELs, of the plurality of VCSELs, may be grouped in a cluster. The emitter assembly may include a carrier, and the VCSEL chip may be in a flip chip configuration with the carrier. The emitter assembly may include a conductive pillar electrically connected to the multiple VCSELs grouped in the cluster.

Abstract: In some implementations, an emitter assembly includes a vertical cavity surface emitting laser (VCSEL) chip including a plurality of VCSELs. The emitter assembly may include a plurality of conductive pillars electrically connected to the VCSEL chip, and a conductive pillar, of the plurality of conductive pillars, may have a solder cap at an end of the conductive pillar. The emitter assembly may include a pin extending into the solder cap.

Abstract: In some implementations, an emitter assembly includes a vertical cavity surface emitting laser (VCSEL) chip including a plurality of VCSELs respectively associated with a plurality of first electrical contacts. A first spacing of the plurality of first electrical contacts may define a first pitch. The emitter assembly may include a redistribution layer, disposed on the VCSEL chip, to increase the first pitch of the plurality of first electrical contacts. The emitter assembly may include a carrier having a plurality of second electrical contacts. A second spacing of the plurality of second electrical contacts may define a second pitch greater than the first pitch. The emitter assembly may include a plurality of conductive pillars that electrically connect the plurality of first electrical contacts and the plurality of second electrical contacts via the redistribution layer. The plurality of conductive pillars may be arranged according to the second spacing.

Abstract: Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Abstract: In some implementations, a probe tip assembly includes a driver printed circuit board assembly (PCBA) and a probe tip subassembly. The probe tip subassembly includes a plurality of probe tips, wherein a probe tip, of the plurality of probe tips, extends beyond an end of the PCBA, and the PCBA and the probe tip are configured to transmit an electric signal to test an optical component. The probe tip may include a material comprising at least one of copper (Cu), a beryllium copper (BeCu) alloy, tungsten (W), Paliney, Neyoro, and/or another conductive material.

Abstract: Disclosed are systems and techniques for performing mapping using radio frequency (RF) sensing. For instance, a server can obtain a first set of RF sensing data and orientation data corresponding to a first wireless device from a plurality of wireless devices. The first set of RF sensing data can be associated with at least one received waveform that is a reflection of a transmitted waveform from a first reflector. Based on the first set of RF sensing data, orientation data, and location data corresponding to the first wireless device, an indoor map can be generated that includes a reference to the reflector.

Abstract: Disclosed are systems and techniques for performing mapping using radio frequency (RF) sensing. For instance, a server can obtain a first set of RF sensing data and orientation data corresponding to a first wireless device from a plurality of wireless devices. The first set of RF sensing data can be associated with at least one received waveform that is a reflection of a transmitted waveform from a first reflector. Based on the first set of RF sensing data, orientation data, and location data corresponding to the first wireless device, an indoor map can be generated that includes a reference to the reflector.

Abstract: A medical episode analysis engine is provided. The engine generates a first matrix data structure having an entry for each concept pairing and storing a value representing relatedness weighted according to a temporal weighting function. The engine generates a second matrix data structure by calculating, for each entry in the first matrix, a relatedness measure of the concepts in the concept pairing based on a frequency of occurrence together. The engine generates, for each first concept, a concept embedding, based on the second matrix, that specifies, for each other second concept, a temporally weighted relatedness measure. The engine generates, for each anchor concepts, a corresponding episode definition comprising a plurality of related concepts corresponding to a same episode, based on the concept embedding. The engine processes new input data based on the episode definition data structures to identify instances of corresponding episodes in the new input data.

Abstract: In an approach for building a machine learning model with a flexible prediction horizon, a processor gathers statistical data related to a disease from one or more regional sources. A processor clusters the statistical data according to a plurality of localized regional source similarity criteria and a plurality of region criteria. A processor builds a plurality of training models based on the clustered statistical data. A processor builds a plurality of feature vectors based on the plurality of localized regional source similarity criteria and the plurality of region criteria. A processor trains the plurality of training models separately against the plurality of feature vectors. A processor selects a best performing training model for each of the plurality of localized regional source similarity criteria and the plurality of region criteria based on a performance criterion. A processor tests the best performing training model to predict one or more future outcomes.

Abstract: Mechanisms are provided for hyperlocal prediction of epidemic dynamics and risks. Regional machine learning training is performed on an infectious disease computer model at least by: receiving first case report data; pre-processing the first case report data to remove noise at least by applying a smoothening algorithm to form first smoothed data; aggregating the first smoothed data into regional data, wherein aggregating the first smoothed data comprises correlating the first smoothed data to a target region corresponding to a population; and training the model using the regional data. The trained model is executed on new second case report data for the target region and automatic monitoring of performance of the model is performed according to a prediction accuracy of the model. In response to the prediction accuracy being below a predetermined threshold, automatic retraining is initiated.

Abstract: Mechanisms are provided to adapt computer modeling of an infectious disease based on noisy data and perform hyperlocal prediction of infectious disease dynamics and risks. Case report data is received and a trained background noise computer model is applied to generate first prediction results predicting infectious disease dynamics. The trained background noise computer model is trained to model infectious disease dynamics assuming that there is no community spread of the infectious disease. A first error measure of the first prediction results is determined and, in response to the first error measure being lower than a threshold value, the first prediction results are selected to output as predicted infectious disease dynamics. In response to the first error measure being equal/greater than the threshold value, second prediction results are selected. The second prediction results are generated by applying a trained infectious disease computer model to the received case report data.

Abstract: Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.

Abstract: Mechanisms are provided to perform automatic case intervention detection in infectious disease case reports and for configuring an infectious disease computer model based on the automatic intervention detection. Case report data is received and a time ordered curve of the case report data is generated. One or more inflection points in the time ordered curve are identified. The one or more inflection points in the time ordered curve are correlated with one or more intervention entries specified in time stamped infectious disease intervention data, the one or more intervention entries specifying interventions implemented by authorities to control spread of the infectious disease. One or more model parameters of an infectious disease computer model are configured based on results of correlating the one or more inflection points with the one or more intervention entries.