Abstract: An asset tracking system includes a tracking device associated with a mobile asset and a centralized device management platform. The tracking device is configured via a set of device configurations. The centralized device management platform includes one or more processors in communication with the tracking device and computer-readable memory encoded with instructions that, when executed, cause the system to receive location data corresponding to a location of the tracking device; evaluate the location data to identify a zone corresponding to a physical region that includes the location of the tracking device; compare an identified zone with a set of location-based rules to identify a rule associated with the identified zone; update the set of device configurations with a device configuration that is associated with an identified rule; and sync an updated set of device configurations to the tracking device to reconfigure the tracking device based on the identified rule.

Abstract: An asset tracking system includes a tracking device associated with a mobile asset and a centralized device management platform. The tracking device is configured via a set of device configurations. The centralized device management platform includes one or more processors in communication with the tracking device and computer-readable memory encoded with instructions that, when executed, cause the system to receive location data corresponding to a location of the tracking device; evaluate the location data to identify a zone corresponding to a physical region that includes the location of the tracking device; compare an identified zone with a set of location-based rules to identify a rule associated with the identified zone; update the set of device configurations with a device configuration that is associated with an identified rule; and sync an updated set of device configurations to the tracking device to reconfigure the tracking device based on the identified rule.

Abstract: A semiconductor device and a method of manufacturing the same are provided. The semiconductor device includes a first transistor, a first resistive random access memory (RRAM) resistor, and a second RRAM resistor. The first resistor includes a first resistive material layer, a first electrode shared by the second resistor, and a second electrode. The second resistor includes the first electrode, a second resistive material layer, and a third electrode. The first electrode is electrically coupled to the first transistor.

Abstract: A turbomachine component is provided. The turbomachine component formed from an additive manufacturing system. The additive manufacturing system defines an axial build direction, a radial direction, and a circumferential direction. The turbomachine component includes an exterior portion. The exterior portion includes a first end wall, a second end wall, and an outer band extending axially between the first end wall and the second end wall. The turbomachine component further includes an interior portion disposed within the exterior portion. The interior portion includes a self-breaking inner band extending axially between the first end wall and the second end wall. The self-breaking inner band includes a plurality of teeth disposed between the first end wall and the second end wall.

Abstract: Wax-based compositions for making barrier layers used in oral treatment devices are thermally stable when formed into a flat sheet or three-dimensional article to a temperature of at least 45° C. and are plastically deformable at room temperature (25° C.). The wax-based compositions include a wax fraction homogeneously blended with a polymer fraction. The wax fraction includes at least one wax and the polymer fraction includes at least one polymer selected such that, when the at least one wax and at least one polymer are homogeneously blended together, they yield a wax-based composition having the desired properties of thermal stability and plastic deformability. Barrier layers and oral treatment devices made from such wax-based compositions are dimensionally stable to a temperature of at least 40° C. without external support and can be plastically deformed in a user's mouth to become at least partially customized to the size and shape of user's unique dentition.

Abstract: A deep learning process receives desired process values associated with the one or more process stations. The deep learning processor receives desired target values for one or more key performance indicators of the manufacturing process. The deep learning processor simulates the manufacturing process to generate expected process values and expected target values for the one or more key performance indicators to optimize the one or more key performance indicators. The simulating includes generating a proposed state change of at least one processing parameter of the initial set of processing parameters. The deep learning processor determines that expected process values and the expected target values are within an acceptable limit of the desired process values and the desired target values. Based on the determining, the deep learning processes causes a change to the initial set of processing parameters based on the proposed state change.

Abstract: Embodiments as disclosed include document analysis systems that may obtain email data collected or obtained from email servers from one or more source systems and build a graph of the emails, where the nodes of the email graph represent data about an email and the edges in the graph between the nodes of the graph are determined based on metadata associated with the emails or the text content of the emails. These email graphs may be quickly and efficiently updated as new email data is obtained such that the document analysis systems may organize emails into conversations for utilization by users in reviewing these emails in context.

Abstract: A mulling system for a plurality of fenestration units includes a first joining plate configured to attach to a first outer edge of a first fenestration unit. The first joining plate includes a first outer face. The mulling system also includes a second joining plate configured to attach to a second outer edge of a second fenestration unit. The second joining plate includes a second outer face. The second joining plate is configured to engage the first joining plate to join together the first fenestration unit and the second fenestration unit with the first outer face facing the second outer face. The mulling system additionally includes a deflectable seal member attached to the first joining plate and having a sealing surface that faces away from the first outer face. The sealing surface is configured to deflect and seal against the second outer face of the second joining plate.

Abstract: An apparatus and method for an inspection apparatus for inspecting a component. The inspection apparatus including a robotic arm. A micro-XRF instrument having an instrument head coupled to the robotic arm. A seat supporting the component within a scanning area during inspection; and a computer in communication with the robotic arm and the micro-XRF instrument.

Abstract: Systems and methods of improving AI governance are disclosed. One or more sub-contexts associated with a plurality of users are generated from one or more data sources. The one or more sub-contexts represent one or more changes in data that are relevant to assessing one or more risks associated with the plurality of users. One or more sub-contexts are provided as training data to a plurality of models. Each of the models is associated with a confidence score. A probabilistic assessment of the one or more risks associated with the plurality of users is generated based on an application of the plurality of models to additional data pertaining to the plurality of users received in real time. The probabilistic assessment is presented in a dashboard user interface, the dashboard user interface having user interface elements configured to provide insight into how the probabilistic assessment was generated.

Abstract: A system is disclosed herein. The system includes a splitter board. The splitter board includes a microprocessor, a converter, and a bypass relay. The converter includes analog-to-digital circuitry and digital-to-analog circuitry. The bypass relay is configurable between a first state and a second state. In the first state, the bypass relay is configured to direct an input signal to the converter. The converter converts the input signal to a converted input signal and splits the converted input signal into a first portion and a second portion. The first portion is directed to the microprocessor. The second portion is directed to an output port of the splitter board for downstream processes. In the second state, the bypass relay is configured to cause the input signal to bypass the converter. The bypass relay directs the input signal to the output port of the splitter board for the downstream processes.

Abstract: Methods and systems for routing data payloads through a plurality of microservices are disclosed. The method may comprise: receiving a data payload and first data; predicting, by a trained machine learning model based on the first data, a path through a plurality of microservices associated with the data payload; generating a modified data payload by modifying, via the orchestrator service, the data payload to include: a first header, wherein the first header comprises a first microservice destination address associated with a first microservice of the plurality of microservices and a second header nested within the first header, wherein the second header comprises a second microservice destination address associated with a second microservice of the plurality of microservices; forwarding the modified data payload to the first microservice based on the first header for processing; and forwarding the modified data payload to the second microservice based on the second header for processing.

Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle to enter a driveway. As an example, an instruction to pickup or drop off a passenger at a location may be received. It may be determined that the vehicle is arriving in a lane on an opposite side of a street as the location, the lane having a traffic direction opposite to a traffic direction of a lane adjacent to the location. A difficulty score to maneuver the vehicle to the lane adjacent to the location may be determined, and the difficulty score may be compared to a predetermined difficulty score. Based on the comparison, it may be determined to an available driveway on the same side of the street as the location. The vehicle may be controlled to enter the available driveway.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes a monitoring platform and an analytics platform. The monitoring platform is configured to capture data of an operator during assembly of an article of manufacture. The monitoring platform includes one or more cameras and one or more microphones. The analytics platform is in communication with the monitoring platform. The analytics platform is configured to analyze the data captured by the monitoring platform.

Abstract: Implementations set forth herein relate to providing notifications regarding events that may interrupt content being rendered at an interface. The notifications can be preemptive and/or can indicate a predicted time and/or source for the events. The event can be, for example, a person attempting to contact a user who is viewing content at a display interface. The person can be associated with a food delivery that has been ordered by the user via a delivery application. An application, such an automated assistant application, can predict when the person is expected to arrive with the food delivery, and generate a notification ahead of the person arriving. In some implementations, the notification can be rendered at a scrubber user interface (UI) at a location corresponding to the time that the food delivery is expected to arrive, thereby putting the user on notice of when the streaming content may be interrupted.

Abstract: A node associated with an organization may receive a storage identifier for new credit data associated with an individual. A distributed ledger and distributed data sources may be used to share the new credit data with a network of nodes. The node may update a smart contract with the storage identifier for the new credit data. The node may receive, from a particular device associated with the organization, a request for the new credit data. The node may obtain the storage identifier for the new credit data from the smart contract. The node may obtain the new credit data by using the storage identifier to search the distributed data sources. The node may provide the new credit data to the particular device. The node may perform actions to obtain additional new credit data from the distributed data sources or provide the additional new credit data to the distributed data sources.

Abstract: A microscopy system and method of focusing the same are disclosed herein. The microscopy system may include an objective, and imaging device, an illumination source, an epi-illumination module, and a controller. The imaging device is configured to capture a single image of a specimen positioned on a stage of the microscopy system. The illumination source is configured to illuminate the specimen positioned on the stage. The epi-illumination module includes a focusing mechanism in a first primary optical path of a light generated by the illumination source. The focusing mechanism is tilted in relation to a plane perpendicular to the first primary optical path. The controller is in communication with the illumination source. The controller is configured to focus the microscopy system based on a pattern produced by the focusing mechanism on the single image captured by the imaging device.

Abstract: Implementations set forth herein relate to an automated assistant that can proactively identify and complete tasks that may be associated with an activity with which a user has scheduled the automated assistant to assist with. The tasks can be identified and completed prior to a time that the user has scheduled the automated assistant to assist the user, thereby eliminating certain manual tasks the user may otherwise perform at the scheduled time. When the activity involves communicating with a separate entity, such as another person and/or organization, the automated assistant can initialize communication with the entity prior to the scheduled time that the user requested assistance. A customized GUI can be rendered at an assistant-enabled device to provide the user with an ongoing status of completing various tasks associated with scheduled activity.