Abstract: Systems, methods, and non-transitory computer-readable media can detect an occurrence of a condition in an environment based on sensor data captured by a vehicle. A determination is made whether the occurrence of the condition satisfies a threshold associated with a likelihood that a behavior associated with an object in the environment will occur based on an interaction between the condition and the object, wherein the likelihood is based on prior observations of one or more objects. Subsequent to determining that the threshold is satisfied, a vehicle operation that is associated with the likelihood that the behavior associated with the object will occur is performed.

Abstract: Methods for processing a silicon solar cell are disclosed herein. Exemplary methods may comprise preparing an ionic liquid comprising aluminum chloride (AlCl3) and an organic halide, patterning a partially processed silicon solar cell to expose an n-type surface of a p-type silicon substrate, bringing the n-type surface into contact with the ionic liquid, wherein the n-type surface does not comprise a seed layer, illuminating the n-type surface, wherein the illumination passes through the ionic liquid, is generated at least partially by a light source, and a photo-generated current is generated by the illumination, while illuminating the n-type surface with the light source, applying a current between an anode and a cathode to generate an applied current, and depositing aluminum onto the n-type surface via a light-induced electroplating process, wherein the light-induced electroplating process utilizes the applied current that does not exceed the photo-generated current generated by the illumination.

Abstract: Methods for light-induced electroplating of aluminum are disclosed herein. Exemplary methods may comprise preparing an ionic liquid comprising aluminum chloride (AlCl3) and an organic halide, placing the silicon substrate into the ionic liquid, illuminating the silicon substrate, the illumination passing through the ionic liquid, and depositing aluminum onto the silicon substrate via a light-induced electroplating process, wherein the light-induced electroplating process utilizes an applied current that does not exceed a photo-generated current generated by the illumination.

Abstract: Examples disclosed herein may involve a computing system configured to (i) maintain a map that is representative of a real-world environment, the map including a plurality of layers that are each encoded with a different type of map data, (ii) obtain sensor data indicative of a given area of the real-world environment, (iii) based on an evaluation of the obtained sensor data and map data corresponding to the given area, detect that a change has occurred in the given area, (iv) based on the collected sensor data, derive information about the change including at least a type of the change and a location of the change, (v) based on the derived information, determine that one or more layers of the map is impacted by the change, and (vi) effect an update to the one or more layers of the map based on the derived information.

Abstract: Examples disclosed herein may involve a computing system configured to (i) after one or more sensor-equipped vehicles have traversed a real-world environment and captured sensor data that is representative of the real-world environment, perform an analysis of the sensor data; (ii) based on the analysis of the sensor data, derive a set of information about a traffic light within the real-world environment that includes one or more of (a) signal-face information that comprises an identification of each signal face of the traffic light or (b) traffic-rule information that comprises an indication of at least one traffic rule that is applicable to the traffic light; and (iii) encode the derived set of information about the traffic light into a map for the real-world environment.

Abstract: Examples disclosed herein may involve a computing system configured to (i) identify a stationary element in a real-world environment for which to infer information, (ii) detect a semantic relationship between the stationary element and one or more other stationary elements in the real-world environment, (iii) based on the detected semantic relationship, infer information about the stationary element, (iv) include the inferred information about the stationary element within a set of information that describes the stationary element.

Abstract: Principles of the present disclosure present an advanced control algorithm related to improving maximum power point tracking of a renewable energy system such as a solar photovoltaic system through load management, which estimates optimum load switch points, minimizes unsuccessful switches, and maximizes renewable energy such as photovoltaic energy delivered to loads.

Abstract: Examples disclosed herein may involve a computing system configured to (i) maintain a map that is representative of a real-world environment, the map including a plurality of layers that are each encoded with a different type of map data, (ii) obtain sensor data indicative of a given area of the real-world environment, (iii) based on an evaluation of the obtained sensor data and map data corresponding to the given area, detect that a change has occurred in the given area, (iv) based on the collected sensor data, derive information about the detected change including at least a type of the change and a location of the change, (v) based on the derived information about the detected change, determine that one or more layers of the map is impacted by the detected change, and (vi) effect an update to the one or more layers of the map based on the derived information about the change.

Abstract: Methods for light-induced electroplating of aluminum are disclosed herein. Exemplary methods may comprise preparing an ionic liquid comprising aluminum chloride (AlCl3) and an organic halide, placing the silicon substrate into the ionic liquid, illuminating the silicon substrate, the illumination passing through the ionic liquid, and depositing aluminum onto the silicon substrate via a light-induced electroplating process, wherein the light-induced electroplating process utilizes an applied current that does not exceed a photo-generated current generated by the illumination.

Abstract: Examples disclosed herein may involve a computing system configured to (i) identify a stationary element in a real-world environment for which to infer information, (ii) detect a semantic relationship between the stationary element and one or more other stationary elements in the real-world environment, (iii) based on the detected semantic relationship, infer information about the stationary element, (iv) include the inferred information about the stationary element within a set of information that describes the stationary element.

Abstract: A machine learning-based method for accelerating a detection and disposition of content anomalies in a target digital artifact includes identifying, by one or more computers, a digital artifact underpinning a digital artifact assessment request; detecting, via the one or more computers, a plurality of content deviations in the target digital artifact based on a context-sensitive artifact assessment protocol obtained from the context-sensitive artifact assessment protocol repository; identifying, via a digital artifact assessment user interface, a sequence of one or more inputs corresponding to a rejection of a first subset of the plurality of content deviations; and based on identifying the rejection of the first subset of the plurality of content deviations: computing, via the one or more computers, a system-generated adaptation proposal for each content deviation underpinning the first subset of the plurality of content deviations based on machine learning-derived policies underpinning the context-sensitive

Abstract: Methods for light-induced electroplating of aluminum are disclosed herein. Exemplary methods may comprise preparing an ionic liquid comprising aluminum chloride (AlCl3) and an organic halide, placing the silicon substrate into the ionic liquid, illuminating the silicon substrate, the illumination passing through the ionic liquid, and depositing aluminum onto the silicon substrate via a light-induced electroplating process, wherein the light-induced electroplating process utilizes an applied current that does not exceed a photo-generated current generated by the illumination.

Abstract: A system and method includes identifying unstructured conversational dialogue data sourced from communications between a subscriber and a conversational dialogue agent; automatically mapping, via the one or more computers, one or more distinct unstructured data synthetization requests defined in the unstructured conversational dialogue data to a distinct artifact synthetization objective defined within a synthetization objective distillation layer; generating, via the one or more computers, a plurality of artifact synthetization prompts corresponding to the plurality of unstructured synthetization data requests based on the distinct artifact synthetization objective mapped to each of the one or more distinct unstructured synthetization data requests; and generating, by a target machine learning model, a plurality of synthesized digital artifacts based on an input of the plurality of artifact synthetization prompts generated for the plurality of unstructured synthetization data requests.

Abstract: Principles of the present disclosure present an advanced control algorithm related to improving maximum power point tracking of a renewable energy system such as a solar photovoltaic system through load management, which estimates optimum load switch points, minimizes unsuccessful switches, and maximizes renewable energy such as photovoltaic energy delivered to loads.

Abstract: In general, one aspect disclosed features a media asset capture and processing method, implemented via a computer-based state machine executing on a computer processor, the method comprising: implementing a first phase including media asset capture and frame processing limited to Rich Execution Environment (REE) read-only (RO) frame access; implementing a second phase including processing with REE read-write (RW) frame access; and implementing a third phase including processing with REE read-only (RO) frame access.

Abstract: Electroplating of aluminum may be utilized to form electrodes for solar cells. In contrast to expensive silver electrodes, aluminum allows for reduced cell cost and addresses the problem of material scarcity. In contrast to copper electrodes which typically require barrier layers, aluminum allows for simplified cell structures and fabrication steps. In the solar cells, point contacts may be utilized in the backside electrodes for increased efficiency. Solar cells formed in accordance with the present disclosure enable large-scale and cost-effective deployment of solar photovoltaic systems.

Abstract: A system and method for pairing user stimuli-to-online digital profile data includes receiving user stimulus data; computing a classification inference, by a machine learning-based model, based on features extracted from the user stimulus data, wherein the classification inference includes a machine learning-based classification label identified from a plurality of digital profile subdomain classification labels; constructing a digital profile search query, wherein constructing the digital profile search query includes: deriving a digital profile search parameter based on the machine learning-based classification label, and defining the digital profile search query using the digital profile search parameter; executing the digital profile search query, wherein executing the digital profile search query includes: searching a corpus of digital profile data based on the digital profile search parameter; and selectively pairing the digital profile search query to digital profiles of the corpus of digital profile d

Abstract: In general, one aspect disclosed features a media asset capture and processing method, implemented via a computer-based state machine executing on a computer processor, the method comprising: implementing a first phase including media asset capture and frame processing limited to Rich Execution Environment (REE) read-only (RO) frame access; implementing a second phase including processing with REE read-write (RW) frame access; and implementing a third phase including processing with REE read-only (RO) frame access.

Abstract: A method for machine learning-informed surfacing and automated execution of digital activity-accelerating actions includes identifying a target digital artifact; and based on identifying the target digital artifact: searching a digital activity-accelerator registry based on the target digital artifact; and in accordance with a determination that the digital activity-accelerator registry includes a composite activity sequence corresponding to the target digital artifact, displaying, via a graphical user interface, one or more selectable representations of one or more tasks included in the composite activity sequence.

Abstract: Examples disclosed herein may involve a computing system that is operable to (i) identify a source map and a target map for transferring map data, where the source map and the target map have different respective coordinate frames and respective coverage areas that at least partially overlap, (ii) select a real-world element for which to transfer previously-created map data from the source map to the target map, (iii) select a source image associated with the source map in which the selected real-world element appears and has been labeled, (iv) select a target image associated with the target map in which the selected real-world element appears, (v) derive a geometric relationship between the source image and the target image, and (vi) use the derived geometric relationship between the source image and the target image to determine a position of the real-world element within the respective coordinate frame of the target map.