Abstract: An example of a flow cell includes a substrate; a first primer set attached to a first region on the substrate, the first primer set including an un-cleavable first primer and a cleavable second primer; and a second primer set attached to a second region on the substrate, the second primer set including a cleavable first primer and an un-cleavable second primer.

Abstract: Systems and methods are provided for merging task graphs representing variants of an automatable task into a merged task graph. A plurality of task graphs each representing a variant of an automatable task is received. Similarities between the plurality of task graphs are identified. The plurality of task graphs is merged into a merged task graph of the automatable task based on the identified similarities. The merged task graph is output.

Abstract: Systems and methods are provided for determining variants of an automatable task. Task flow data of a performance of an automatable task by one or more users is received. The task flow data is generated based on user input using task mining. User interaction data is identified from the task flow data. One or more variants of the automatable task are determined based on the user interaction data using a machine learning based model. The one or more variants of the automatable task are output.

Abstract: Methods, systems, and devices disclosed herein may be collectively referred to as a “platform.” A platform consistent with embodiments herein may be used by individuals or companies to track an amount of liquid poured from at least one liquid container. The platform may comprise a tracking device and a computing hub in operative bi-directional communication. The device that may be configured to a liquid dispensing container such as, but not limited to, a bottle. The device may be configured to receive a liquid from the container and transfer the liquid through a chamber within the device. As the liquid is transferred through the device, a computing element and sensing component integrated within the device may be configured to track an amount of liquid dispensed through the device. A communications module may then communicate the data with the hub.

Abstract: A method of treating water in a water treatment system comprises introducing water to be treated into an ion exchange bed of the water treatment system to produce treated water, receiving an output water quality indication from a controller associated with the ion exchange bed, determining, by an algorithm, responsive to the output water quality indication, whether to replace the ion exchange bed based on a remaining capacity of the ion exchange bed, current operational parameters of the water treatment system, and historical data regarding operation of the water treatment system, and responsive to the water quality indication, providing, by the algorithm, a recommendation to a service provider of the water treatment system that there is one of no action required, that the ion exchange bed should be monitored, or that a service order for replacement of the ion exchange bed should be generated.

Abstract: A building energy management includes building equipment, one or more data platform services, a timeseries database, and an energy management application. The building equipment operate to monitor and control a variable and provide raw data samples of a data point associated with the variable. The timeseries database stores a plurality of timeseries associated with the data point. The plurality of timeseries include a timeseries of the raw data samples and the one or more optimized data timeseries generated by the data platform services based on the raw data timeseries. The energy management application generates an ad hoc dashboard including a widget and associates the widget with the data point. The widget displays a graphical visualization of the plurality of timeseries associated with the data point and includes interactive user interface options for switching between the plurality of timeseries associated with the data point.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for a training and using machine learning models in multi-device network environments. An example computer-implemented method for network communications performed by a host device includes extracting a feature set from a data set associated with a client device using a client-device-specific feature extractor, wherein the feature set comprises a subset of features in a common feature space, training a task-specific model based on the extracted feature set and one or more other feature sets associated with other client devices, wherein the feature sets associated with the other client devices comprise one or more subsets of features in the common feature space, and deploying, to each respective client device of a plurality of client devices, a respective version of the task-specific model.

Abstract: Some embodiments include an integrated structure having vertically-stacked conductive levels alternating with dielectric levels. A layer over the conductive levels includes silicon, nitrogen, and one or more of carbon, oxygen, boron and phosphorus. In some embodiments the vertically-stacked conductive levels are wordline levels within a NAND memory array. Some embodiments include an integrated structure having vertically-stacked conductive levels alternating with dielectric levels. Vertically-stacked NAND memory cells are along the conductive levels within a memory array region. A staircase region is proximate the memory array region. The staircase region has electrical contacts in one-to-one correspondence with the conductive levels. A layer is over the memory array region and over the staircase region. The layer includes silicon, nitrogen, and one or more of carbon, oxygen, boron and phosphorus.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A building system for identity management of a building, the building system including one or more storage devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a request to determine whether an entity has a privilege and determine whether the entity has the privilege by querying, based on the request, a graph database to identity information of the graph database that indicates whether the entity has the privilege, wherein the graph database stores nodes representing at least one of users, equipment, events, or spaces of the building, wherein the graph database stores edges between the nodes representing relationships between the users, equipment, events, or spaces. The instructions cause the one or more processors to generate a response including a determination whether the entity has the privilege.

Abstract: Methods, systems, and devices disclosed herein may be collectively referred to as a “platform.” A platform consistent with embodiments herein may be used by individuals or companies to track an amount of liquid poured from at least one liquid container. The platform may comprise a tracking device and a computing hub in operative bi-directional communication. The device that may be configured to a liquid dispensing container such as, but not limited to, a bottle. The device may be configured to receive a liquid from the container and transfer the liquid through a chamber within the device. As the liquid is transferred through the device, a computing element and sensing component integrated within the device may be configured to track an amount of liquid dispensed through the device. A communications module may then communicate the data with the hub.

Abstract: The present disclosure describes a computer-implemented method of transforming a low-resolution MR image to a high-resolution MR image using a deep CNN-based MRI SR network and a computer-implemented method of transforming an MR image to a pseudo-CT (sCT) image using a deep CNN-based sCT network. The present disclosure further describes a MR image-guided radiation treatment system that includes a computing device to implement the MRI SR and CT networks and to produce a radiation plan based in the resulting high resolution MR images and sCT images.

Abstract: In one aspect, the present disclosure provides systems and methods for automatic detection and/or assignment of liquid pouring devices used in connection with inventory tracking. A system and associated method may comprise: affixing an identifying device, to a liquid dispensing container, the identifying device being associated with the liquid dispensing container; attaching a liquid pouring device to an opening of the liquid dispensing container; identifying the liquid dispensing container responsive to the liquid pouring device being within a predetermined proximity to the identifying device; and associating data collected from the liquid pouring device with the liquid dispensing container.

Abstract: Methods, systems, and devices disclosed herein may be collectively referred to as a “platform.” A platform consistent with embodiments herein may be used by individuals or companies to track an amount of liquid poured from at least one liquid container. The platform may comprise a tracking device and a computing hub in operative bi-directional communication. The device that may be configured to a liquid dispensing container such as, but not limited to, a bottle. The device may be configured to receive a liquid from the container and transfer the liquid through a chamber within the device. As the liquid is transferred through the device, a computing element and sensing component integrated within the device may be configured to track an amount of liquid dispensed through the device. A communications module may then communicate the data with the hub.

Abstract: Methods, systems, and devices disclosed herein may be collectively referred to as a “platform.” A platform consistent with embodiments herein may be used by individuals or companies to track an amount of liquid poured from at least one liquid container. The platform may comprise a tracking device and a computing hub in operative bi-directional communication. The device that may be configured to a liquid dispensing container such as, but not limited to, a bottle. The device may be configured to receive a liquid from the container and transfer the liquid through a chamber within the device. As the liquid is transferred through the device, a computing element and sensing component integrated within the device may be configured to track an amount of liquid dispensed through the device. A communications module may then communicate the data with the hub.

Abstract: Methods, systems, and devices disclosed herein may be collectively referred to as a “platform.” A platform consistent with embodiments herein may be used by individuals or companies to track an amount of liquid poured from at least one liquid container. The platform may comprise a tracking device and a computing hub in operative bi-directional communication. The device that may be configured to a liquid dispensing container such as, but not limited to, a bottle. The device may be configured to receive a liquid from the container and transfer the liquid through a chamber within the device. As the liquid is transferred through the device, a computing element and sensing component integrated within the device may be configured to track an amount of liquid dispensed through the device. A communications module may then communicate the data with the hub.

Abstract: Methods, systems, and devices disclosed herein may be collectively referred to as a “platform.” A platform consistent with embodiments herein may be used by individuals or companies to track an amount of liquid poured from at least one liquid container. The platform may comprise a tracking device and a computing hub in operative bi-directional communication. The device that may be configured to a liquid dispensing container such as, but not limited to, a bottle. The device may be configured to receive a liquid from the container and transfer the liquid through a chamber within the device. As the liquid is transferred through the device, a computing element and sensing component integrated within the device may be configured to track an amount of liquid dispensed through the device. A communications module may then communicate the data with the hub.

Abstract: Methods, systems, and devices disclosed herein may be collectively referred to as a “platform.” A platform consistent with embodiments herein may be used by individuals or companies to track an amount of liquid poured from at least one liquid container. The platform may comprise a tracking device and a computing hub in operative bi-directional communication. The device that may be configured to a liquid dispensing container such as, but not limited to, a bottle. The device may be configured to receive a liquid from the container and transfer the liquid through a chamber within the device. As the liquid is transferred through the device, a computing element and sensing component integrated within the device may be configured to track an amount of liquid dispensed through the device. A communications module may then communicate the data with the hub.