Abstract: The present description concerns an electronic device comprising at least two three-dimensional capacitors, each capacitor being surrounded with a trench comprising a gas pocket.

Abstract: A circuit for monitoring an actual threshold voltage value of a MOSFET is provided.

Abstract: A network system to analyze a combined output of various input files from data-based applications. The system provides custom profiling of the data from each application based on an application of one or more sets of rules. The system stores the data from any other number of applications in a base level of granularity to allow direct comparison of the data from each application output. Because the data is stored at a same level of granularity, the data may be compared or processed regardless of the application from which the data is received. The system applies rules to compare the data across the applications to identify outliers, trends, or commonalities. The system may also search for and identify data fitting a specific rule across the applications to extract, modify, or label the data. The system provides a visualization of the data based on the rules applied.

Abstract: A method and a system for automatic generation of conversation samples for training machine learning-based dialogue managers by using conversation graphs are provided. The method includes: receiving a conversational flow that relates to a conversation; converting the conversational flow into a graphical representation of the conversation; using the graphical representation to determine a set of paths that relate to possible realizations of potential user interactions with respect to the conversation; and generating conversation samples that correspond to the set of paths.

Abstract: Systems and methods that provide centralized communication across feature programming workflows using software development lifecycle tools that dynamically determine temporal alerts are disclosed herein. By dynamically determining events that are temporally relevant, the system accounts for changes in an application timeline that comprises a plurality of events, in which each event of the plurality of events indicates when a respective feature of the plurality of features is available for use by the application, and in which the location of each event constantly changes.

Abstract: Systems and methods are described herein for novel uses and/or improvements for designing user-specific interfaces using machine learning models. When a request to display certain data by an application is received, an application token and a user token may be retrieved and input into a machine learning model to obtain a prediction of a pre-defined user-application interface configuration. A user interface token for the application may then be generated. The user interface token may indicate user interface settings/configuration desired/preferred by a user. The user interface token may then be sent to the application to cause the application to display the data using user interface configurations within the user interface token.

Abstract: An electronic circuit includes a reference clock signal generator block and functional blocks. In response to a detected failure on a signal originating from a reference frequency generator of the reference clock signal generator block, only the reference frequency generator of the reference clock signal generator block, but not the functional blocks, is reset.

Abstract: Wafer level proximity sensors are formed by processing a silicon substrate wafer and a silicon cap wafer separately, bonding the cap wafer to the substrate wafer to form a bonded wafer sandwich, and then selectively thinning the silicon substrate wafer and silicon cap wafer. The silicon substrate wafer is thinned first, and an interconnect structure of through-silicon vias is formed within the thinned silicon substrate wafer. The silicon cap wafer is then thinned to expose openings facing an area of the thinned silicon substrate wafer where a photosensitive region is location and facing an area of the thinned silicon substrate wafer where an emitter die is to be installed. After emitter die installation, the openings in the thinned silicon cap wafer are filled with a transparent material. The thinned silicon cap wafer further includes an opaque light barrier to block light transmission between the openings.

Abstract: Systems and methods for linking a data set to respective locations of relevant data elements in documents included in electronic files in which a formatting server identifies a specific location of each occurrence of each of a plurality of different categories of fields in documents in an electronic file and links an identifier of each of the categories to each specific location of each of the occurrences. Thereafter, a review server compares data populating all of the occurrences at each specific location of at least one of the categories of fields to which the identifier of the particular category of fields is linked and generates a notification when the data populating any of the occurrences differs from data populating any of the other occurrences of the same category of fields.

Abstract: Described herein is a microelectromechanical sensor device, comprising: a stack of a first die that integrates a pressure-detection structure and a second die that integrates an inertial detection structure, the first die constituting a cap for the inertial detection structure and being bonded to the second die so as to define a hermetic cavity. The first die has a first substrate, having a front surface and a rear surface that is bonded to said second die, a buried cavity being buried and entirely contained in the first substrate and being arranged in a position corresponding to the front surface, from which it is separated by a membrane. In particular, the aforesaid buried cavity is distinct and separate from the hermetic cavity.

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: Systems and methods are described herein for novel uses and/or improvements for designing user-specific interfaces using machine learning models. When a request to display certain data by an application is received, an application token and a user token may be retrieved and combined into a consolidated token. The consolidated token may be input into a machine learning model to obtain a user interface token for an application. The user interface token may indicate user interface settings/configuration desired/preferred by a user. The user interface token may then be sent to the application to cause the application to display the data using user interface configurations within the user interface token.

Abstract: A two terminal semiconductor controlled rectifier (SCR) device has an anode terminal coupled to a first node and a cathode terminal coupled to a second node. Neither of the cathode gate or anode gate of the SCR device are connected to a triggering circuit for controlling turn on of the SCR device. The SCR device has an avalanche breakdown voltage for turn on, where that avalanche breakdown voltage is set by a breakdown avalanche of a PN junction of the SCR device. A circuit path includes a series connected chain of M Zener diodes with a blocking diode that are coupled between the first node and the second node. The circuit path has an activation voltage for turn on, where that activation voltage is dependent on N times a Zener diode reverse breakdown voltage. The activation voltage is less than the avalanche breakdown voltage.

Abstract: A system and method for unsupervised training of a text report identification machine learning model, including: labeling a first set of unlabeled text reports using a seed dictionary to identify concepts in the unlabeled text reports; inputting images associated with the first set of seed-labeled text reports into an auto-encoder to obtain an encoded first set of images; calculating a set of first correlation matrices as a dot product of the first encoded images with their associated text report features; determining a distance between the set of first correlation matrices and a filter bank value associated with the auto-encoder; identifying a first set of validated images as the images in the first set of images that have a distance less than a threshold value; and training the text report machine learning model using the labeled text reports associated with the set of first validated images.

Abstract: A method for validating an access request with respect to an application is provided. The method includes: receiving an access request from a user with respect to an application; retrieving, from a memory, group identification information that relates to at least one group to which the user belongs; retrieving, from the memory, scope information that indicates qualifications and/or characteristics of a relationship between the user and the at least one group; and generating a token that notifies the application of the group identification information and the scope information, and is usable by the application for validating the access request. The method may be implemented in an Active Directory Federation Services (AD FS) environment.

Abstract: The invention provides for a medical imaging system (100, 300). The medical imaging system comprises a memory (110) for storing machine executable instructions (120). The memory further contains an implementation of a trained convolutional neural network (122, 122?, 122?, 122??, 122??). The trained convolutional neural network comprises more than one spherical convolutional neural network portions (502, 502?). The trained convolutional neural network is configured for receiving diffusion magnetic resonance imaging data (124). The diffusion magnetic resonance imaging data comprises a spherical diffusion portion (500, 500?). The more than one spherical convolutional neural network portions are configured for receiving the spherical diffusion portion. The trained convolutional neural network comprises an output layer (508) configured for generating a neural network output (126) in response to inputting the diffusion magnetic resonance imaging data into the trained convolutional neural network.

Abstract: Various methods, apparatuses/systems, and media for data processing are disclosed. A processor receives a digital document; applies an optical character recognition (OCR) algorithm on said received digital document by utilizing an OCR tool; identifies defective data extracted by the OCR tool resulted from relatively inferior image quality of the received digital document; implements an auto rectification algorithm on the identified defective data; automatically generates, in response to implementing the auto rectification algorithm, corresponding auto-rectified data for each identified defective data; records the defective data and corresponding auto-rectified data at a field level; receives user input data on said recorded auto-rectified data; determines whether the auto-rectified data is correct or not; and populates, based on determining that the auto-rectified data is correct, a machine learning model with said received user input data to be utilized for subsequently received digital document.

Abstract: Methods, apparatuses, and computer program products are disclosed for generating and/or using a mobile legal identification data object. An example method includes receiving a request for a mobile legal identification data object and generating the mobile legal identification data object based at least in part on the request for the mobile legal identification data object. The method further includes associating the mobile legal identification data object with a user profile. The method further includes providing the mobile legal identification data object to a user device associated with the user profile.

Abstract: A memory array includes a plurality of bit-cells arranged as a set of rows of bit-cells intersecting a plurality of columns. The memory array also includes a plurality of in-memory-compute (IMC) cells arranged as a set of rows of IMC cells intersecting the plurality of columns of the memory array. Each of the IMC cells of the memory array includes a first bit-cell having a latch, a write-bit line and a complementary write-bit line, and a second bit-cell having a latch, a write-bit line and a complementary write-bit line, wherein the write-bit line of the first bit-cell is coupled to the complementary write-bit line of the second bit-cell and the complementary write-bit line of the first bit-cell is coupled to the write-bit line of the second bit-cell.