Abstract: Methods and systems for content distribution and management are presented. A transaction flow for conducting different stages of a transaction is determined in response to a request for the transaction from an application executable at a user device. The transaction flow includes a sequence of content pages to be displayed within a graphical user interface (GUI) of the application over the different stages of the transaction. The content associated with a tagged UI element of at least one content page is identified. The content is validated for the tagged UI element of the at least one content page, based on a software and hardware configuration of the user device. The validated content is provided via a network to the application at the user device to be displayable with the tagged UI element on the at least one content page of the transaction flow during a corresponding stage of the transaction.

Abstract: A remote chemical vapor deposition (“CVD”) reactor and process is disclosed, which includes a vacuum insulated inner core with an inlet that is connected to vapor inlet source and an outlet connected to a deposition chamber or a secondary reactor unit. The inner core may be heated to high temperatures by any of different energy sources, allowing for breaking of chemical bonds in the flowing vapor molecules and resulting in generating vapor phase reactive intermediates that are ultimately transported to a vacuum chamber for depositing thin films by the CVD process.

Abstract: Embodiments of this disclosure pertain to a vehicle interior system comprising a base having a base surface; and a glass article coupled to the surface, wherein the glass article comprises a first portion comprising a first elastically deformed surface forming a first concave shape with a first radius of curvature from about 20 mm to about 2000 mm, and a second elastically deformed surface directly opposite the first elastically deformed surface that forms a second convex shape, wherein the second elastically deformed surface has a surface compressive stress that is less than a compressive stress at the first elastically deformed surface, and a second portion adjacent the first portion, wherein the second portion is substantially planar portion or curved.

Abstract: Aspects of the disclosure relate to repositioning a rooftop sensor of an autonomous vehicle when needed to reduce the overall height of the autonomous vehicle. For instance, while an autonomous vehicle is being controlled in an autonomous driving mode, a low clearance zone may be identified. An activation location may be determined based on the low clearance zone and a current speed of the autonomous vehicle. Once the activation location is reached by the autonomous vehicle, a motor may be caused to reposition the rooftop sensor. In addition, in some instances, after the autonomous vehicle has passed the low clearance zone, the motor may be caused to reposition the rooftop sensor again.

Abstract: Embodiments of a vehicle interior system are disclosed. In one or more embodiments, the system includes a base with a curved surface, a cold-formed glass substrate with a thickness of 1.5 mm or less and a first radius of curvature of 500 mm or greater, and an adhesive between the curved surface and the glass substrate. Methods for forming such systems are also disclosed. The systems and methods include components and/or design modifications or methods for reducing stress in the adhesive.

Abstract: A method for analyzing a PDF document includes: modifying, by an analyzer, a background color of the document to a second color to generate a modified document; converting, by a noise removal module (NRM), the modified document into an image; making, by the NRM, a first determination that the image comprises a background noise, in which the noise is reduced by modifying an area within the image; generating, by a fraud detection module (FDM), at least one image patch from the image; generating, by the FDM, an embedding for the at least one image patch, in which the embedding is processed using a convolutional neural network (CNN) layer; making, by the FDM and based on an output of the CNN layer, a second determination that the document is invalid; and notifying, by the FDM, a user about the second determination using a GUI of the client.

Abstract: A method for information extraction from an image-based asset includes: generating, by an encoder, at least one image patch from the asset; generating, by the encoder, an input embedding for the at least one image patch; generating, by the encoder, an output embedding based on the input embedding; inferring, by a decoder, a detail of the image-based asset based on the output embedding and a formatted asset, in which the output embedding is sent by the encoder, wherein the formatted asset is sent by a parser; generating, by the decoder, a decoder output based on the detail, in which the detail comprises at least a feature and a second feature; converting, by a converter, the decoder output into an output asset, in which the decoder output is sent by the decoder; and sending, by the converter, the output asset to a user using a graphical user interface (GUI).

Abstract: Systems, computer-implemented methods, and/or computer program products facilitating a process to monitor and evaluate the effects of an artificial intelligence (AI) model on enterprise performance metrics are provided. According to an embodiment, a computer implemented method can comprise determining a technical issue of candidate technical issues associated with an artificial intelligence model that correlates to a change associated with a performance metric, wherein the determination is based on using a first data model that defines first relationships between the key performance metrics and candidate technical issues and second relationships between the candidate technical issues and candidate solutions. The method further comprises determining a solution for the technical issue using the data model and recommending or automatically implementing the solution.

Abstract: The present disclosure relates to microbial-triggered small and large intestinal drug delivery (SLIDD) oral formulation and method of preparation thereof. The formulation delivers the active ingredient or the drug to the predetermined location in the GI tract with success.

Abstract: Database systems and methods are provided for parallel processing heterogenous jobs at a database system. One method involves identifying database records corresponding to a batch of jobs and identifying, for the respective jobs, a respective set of related database records associated with the respective job based on a respective value for a metadata field of the respective database record corresponding to the respective job. The metadata field value uniquely identifies the respective set of related database records associated with the respective database record. The method divides the batch of jobs into chunks based on the respective sets of related database records associated with the respective jobs. Each chunk includes a respective subset of the batch of jobs having an aggregate workload based on the respective sets of related database records associated with the respective jobs of the respective chunk that is less than a chunking threshold.

Abstract: Aspects of the disclosure relate to repositioning a rooftop sensor of an autonomous vehicle when needed to reduce the overall height of the autonomous vehicle. For instance, while an autonomous vehicle is being controlled in an autonomous driving mode, a low clearance zone may be identified. An activation location may be determined based on the low clearance zone and a current speed of the autonomous vehicle. Once the activation location is reached by the autonomous vehicle, a motor may be caused to reposition the rooftop sensor. In addition, in some instances, after the autonomous vehicle has passed the low clearance zone, the motor may be caused to reposition the rooftop sensor again.

Abstract: Methods and systems for content distribution and management are presented. A transaction flow for conducting different stages of a transaction is determined in response to a request for the transaction from an application executable at a user device. The transaction flow includes a sequence of content pages to be displayed within a graphical user interface (GUI) of the application over the different stages of the transaction. The content associated with a tagged UI element of at least one content page is identified. The content is validated for the tagged UI element of the at least one content page, based on a software and hardware configuration of the user device. The validated content is provided via a network to the application at the user device to be displayable with the tagged UI element on the at least one content page of the transaction flow during a corresponding stage of the transaction.

Abstract: In described examples, a digital-to-analog converter includes an output, multiple most significant bit (MSB) connector resistors each having a resistance R??R, multiple least significant bit (LSB) connector resistors each having a resistance R, and multiple binary arm resistors each having a resistance 2R. The MSB connector resistors are coupled in a series beginning with the output and ending with a first one of the LSB connector resistors, and the LSB connector resistors are coupled in a series beginning with the first LSB connector resistor. A terminal of one of the binary arm resistors is coupled to an ending of the LSB connector resistor series, and a terminal of each of different remaining ones of the binary arm resistors is coupled between a different pair of the MSB and/or LSB connector resistors.

Abstract: Various embodiments provide for decentralized crowd sourced generation of recommendation data objects. An example apparatus receives, originating from an external computing device, a recommendation data object request, the recommendation data object request comprising a user identifier and one or more user attributes. The example apparatus may further retrieve, based on a predictive recommendation model, one or more therapy identifiers associated with a therapy efficacy score exceeding a therapy efficacy score threshold for attributes of a first attributes set associated with a first cluster identifier, the first attributes set comprising one or more of the one or more user attributes.

Abstract: An integrated circuit (IC) includes a tristatable output buffer having a control input. The IC includes an input buffer having a buffer output. The IC further includes a delay circuit having a delay circuit input, a first delay circuit output, and a second delay circuit output. The delay circuit input is coupled to the buffer output. The IC also includes a tristate circuit coupled to the first delay circuit output and to the second delay circuit output. The tristate circuit having a tristate circuit output coupled to the control input.

Abstract: Methods, apparatus, and processor-readable storage media for localized anomaly detection in digital documents are provided herein. An example computer-implemented method includes identifying at least one image in a digital document; processing the identified at least one image using at least an image compression algorithm; applying a first machine learning model to the at least one processed image, wherein the first machine learning model is trained to detect whether the at least one image comprises one or more modifications; in response to detecting that the at least one image comprises at least one modification, applying a second machine learning model to identify a location in the at least one image corresponding to the at least one modification; and generating an indication that identifies the location of the at least one modification in the at least one image.

Abstract: Methods, apparatus, and processor-readable storage media for character-based representation learning for table data extraction using artificial intelligence techniques are provided herein.

Abstract: Embodiments of a vehicle interior system are disclosed. In one or more embodiments, the system includes a base with a curved surface, and a display or touch panel disposed on the curved surface. The display includes a cold-bent glass substrate with a thickness of 1.5 mm or less and a first radius of curvature of 20 mm or greater, and a display module and/or touch panel attached to the glass substrate having a second radius of curvature that is within 10% of the first radius of curvature. Methods for forming such systems are also disclosed.

Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: Connection modification based on traffic pattern is described. In accordance with the described techniques, a traffic pattern of memory operations across a set of connections between at least one device and at least one memory is monitored. The traffic pattern is then compared to a threshold traffic pattern condition, such as an amount of data traffic in different directions across the connections. A traffic direction of at least one connection of the set of connections is modified based on the traffic pattern corresponding to the threshold traffic pattern condition.