Abstract: An indication associated with a web component of a web content page is received from a client. The indication indicates that a version of the web component is not available at the client. While providing the web content page to the client, the web component is updated to generate an updated web component. In response to the indication, the updated web component is obtained among a plurality of web components. The updated web component for the web content page is provided to the client.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that provide a contextual query answering system that trains and implements a unique machine learning architecture to generate accurate domain-specific contextual responses. For example, the disclosed systems receive a contextual query indicating a software context of a computer application within a software-specific domain. The disclosed systems utilize a context retrieval model to generate query embeddings from the contextual query and data segment embeddings from data segments of stored digital documents. Further, the context retrieval model determines relevant digital documents from among the stored digital documents based on comparing the query embeddings and the data segment embeddings. The disclosed systems provide the relevant digital documents to a response generator model to generate a contextual response within the software-specific domain.

Abstract: A processing system having a substrate support assembly is described herein. The substrate support includes an electrostatic chuck, a cooling base coupled to the electrostatic chuck, a facility plate coupled to the substrate support assembly, and one or more electrical connectors positioned in the substrate support assembly in electrical communication with the electrostatic chuck. The electrostatic chuck further includes one or more cooling channels fluidly coupled to a magnetocaloric chiller utilizing magnetocaloric refrigeration.

Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate multiple pluralities of windows and use the multiple pluralities of windows to enrich semantic data of the feature maps. The perception system may use the enriched semantic to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: The present disclosure relates to a process for producing homogeneous solutions comprising dissolved polyacrylonitrile-based polymer, and a system suitable therefor. The homogeneous polymer solutions produced by the process described herein may be used for producing carbon fiber, typically carbon fiber used in manufacturing composite materials.

Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate multiple pluralities of windows and use the multiple pluralities of windows to enrich semantic data of the feature maps. The perception system may use the enriched semantic to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: A computer implemented method for maintaining information security infrastructure of an entity, includes accessing a cascading classification schema comprising a plurality of levels of classifications indicative of critical security controls, identifying a plurality of Key Risk Indicators (KRIs) and assigning a plurality of respective KRI weight values, a plurality of respective first KRI threshold values, and a plurality of respective second KRI threshold values to the plurality of respective KRIs, assigning the plurality of KRIs to the lowest level of classification, defining a plurality of data points corresponding to the plurality of KRIs, determining a plurality of KRI score values corresponding to the plurality of respective KRIs by comparing a plurality of data values associated with the plurality of respective data points, with the plurality of first KRI threshold values and the plurality of second KRI threshold values, and determining a cascading schema of aggregate scores.

Abstract: A system includes a closed loop configured to flow a heat transfer fluid to regulate temperature of a process tool. The heat transfer fluid includes a flammable or combustible fluid. The system further includes a temperature control unit configured to receive the heat transfer fluid and regulate temperature of the heat transfer fluid. The system further includes a plurality of sensor configured to measure one or more properties of the heat transfer fluid. The system further includes a controller configured to determine a fault in the closed loop based on sensor data received from the plurality of sensors and to further cause a corrective action responsive to determining the fault.

Abstract: A method includes obtaining a request for data, and obtaining a security policy indicator that indicates a security policy. The security policy may include access conditions that define data access according to one or more attribute values of an attribute. The method also includes determining an attribute value of the attribute based on the request, and identifying a subset of the data based on the attribute value. The subset of the data may satisfy the security policy. The method further includes providing the subset of the data to a software application.

Abstract: The present disclosure relates to a cyclone-producing apparatus for use in the production of polymer fibers, such as large tow polymer fibers, typically used in the manufacture of carbon fiber. The present disclosure also relates to a system comprising the cyclone-producing apparatus and a process for producing polymer fibers using such a system. The polymer fibers produced are useful for the manufacture of carbon fiber, which finds application as structural components in composite materials relevant to many areas, such as the aerospace, marine, and automotive industries, among others.

Abstract: A device configured to guide creation of an incision in a sclera of an eye including an elongate handle and a footplate having a plurality of struts defining a central opening extending between an upper surface and a lower surface of the footplate. A first strut of the plurality of struts has a proximal-facing blade guide surface that is straight and extends between two lateral struts of the plurality of struts. A second strut of the plurality of struts has a proximal-facing limbal guide surface that is curved. The blade guide surface is separated a distance from the limbal guide surface to identify a target location for creating an incision relative to a limbus of the eye. The blade guide surface has a length between the two lateral struts that limits a length of the incision that can be created using a cutting blade inserted through the central opening.

Abstract: The present disclosure is directed to an input/output (I/O) interface that includes a set of complementary metal-oxide semiconductor (CMOS) transistors in a P-type substrate. A first N-type region is in the substrate and a second N-type region in the substrate spaced from the first N-type region, the second N-type region being a deep-NWELL (DNW). A first heavily doped P-type region is between the first and second N-type regions, the first heavily doped P-type region is coupled to ground. A second heavily doped P-type region in the first N-type region, the second heavily doped P-type region and is coupled to an output terminal. A first heavily doped N-type region is in the first N-type region, the first heavily doped N-type region is coupled to a floating-Well (FW) terminal. A second heavily is doped N-type region in the second N-type region. A resistor is coupled to the DNW and the resistor is coupled to a voltage supply terminal.

Abstract: The present invention provides an improved fuel tank isolation valve (10). In particular, the invention is directed to provide an improved fuel tank isolation valve (10) which is normally open for one time delivery condition of the valve to enable refuelling function at the time of vehicle assembly. Said valve (10) comprises of a valve housing (1) and a solenoid housing (2), wherein the solenoid housing (2) includes one latch assembly that locks the moving core (12) in radial or axial direction to provide an intermediate latching position for single operation.

Abstract: Techniques are provided for monocular 3D object detection from an image semantics network. An image semantics network (ISN) is a single stage, single image object detection network that is based on single shot detection (SSD). In an embodiment, the ISN augments the SSD outputs to provide encoded 3D properties of the object along with a 2D bounding box and classification scores. For each priorbox, a 3D bounding box is generated for the object using the dimensions and location of the priorbox, the encoded 3D properties and camera intrinsic parameters.

Abstract: The present disclosure relates to a spinneret housing for use in the production of polymer fibers, such as large tow polymer fibers, typically used in the manufacture of carbon fiber. The present disclosure also relates to a system comprising the spinneret housing and a process for producing polymer fibers using such a system. The polymer fibers produced are useful for the manufacture of carbon fiber, which finds application as structural components in composite materials relevant to many areas, such as the aerospace, marine, and automotive industries, among others.

Abstract: A system uses a machine learning model trained using multitask learning for processing audio signals of different types. The system may be used in a device such as a headset, smart glasses, or a smart watch, and may be used to make predictions based on different types of audio signals, for example, for classifying acoustic events based on audio signal or for keyword spotting to detect wake words. The use of a single machine learning model for analyzing different types of audio signals improves storage efficiency as well as energy efficiency of devices compared to systems that use a different machine learning model for processing each type of audio signal.

Abstract: Blockchain-backed redistributable electronic content components is created and distributed. These techniques provider greater computer security and authentication controls, in various embodiments. An electronic content component associated with a first entity and a first set of actions is created. The electronic content component is published, and the first set of actions and a block representing the electronic content component are added to a blockchain. A second entity requests use of the electronic content component and a distribution agreement between the first and second entities associated with a second set of actions is created. The second set of actions and a block representing the distribution agreement are added to a blockchain. The electronic content component and distribution agreement are validated based on the blockchain, and custom content including the electronic content component is published.

Abstract: The present disclosure relates to the control of the degree of swelling of polymer fiber, such as polymer fiber used in the manufacturing of composite materials, by control of the pH of the coagulation bath during spinning.

Abstract: The present disclosure relates generally to a process for producing polymer fibers, typically polyacrylonitrile-based fibers, the morphology of which is controlled by the use of a polymer additive to form a polymer blend with polyacrylonitrile, which is then subjected to certain coagulation and washing conditions. The present disclosure also relates to carbon fibers produced by processing the polymer fibers made.

Abstract: Provided are methods for training and evaluating machine learning networks. The methods can include obtaining ground truth data representing images of an environment of a vehicle. The methods can include determining a first plurality of subsets of the ground truth data. The methods can include mapping the first plurality of subsets to a plurality of sensors. The methods can include determining a second plurality of subsets of the ground truth data by removing at least one selected subset from the first plurality of subsets. The methods can include inputting the second plurality of subsets to at least one machine learning network. The methods can include predicting a surrounding view of the environment using the at least one machine learning network. Vehicles and non-transitory computer-readable storage media are also provided.