Abstract: A multiplexer includes an input, an output, and a main switch configured to pass a signal from the input to the output. The multiplexer includes two bootstrap circuits that collectively maintain a constant voltage between terminals of the main switch during alternating phases.

Abstract: An integrated circuit package includes an integrated circuit die. The integrated circuit die includes core circuitry implemented in one or more layers of semiconductor material, a first cluster of first contact pads formed of a top metal layer of the integrated circuit die and coupled to the core circuitry, a second cluster of second contact pads formed of the top metal layer and coupled to the core circuitry, a first ESD protection line formed of the top metal layer extending between an area of the first cluster and an area of the second cluster, and ESD protection circuitry in the one or more layers of semiconductor material coupling each of the first contact pads and each of the second contact pads to the first ESD protection line by ESD protection circuitry. The integrated circuit package includes a passivation layer on the integrated circuit die and a second ESD protection line on the passivation layer formed of a redistribution metal layer and shorting a portion of the first ESD protection line.

Abstract: A system and methods for a turbo-boost control system are disclosed for providing a driver of a vehicle with greater control over vehicle performance. The turbo-boost control system instructs an electronic control unit of the vehicle to increase the manifold pressure to a higher level before releasing the pressure through a waste gate so as to provide a greater power output of the engine. The turbo-boost control system includes a control module, a wiring harness, and a signal adjuster. The wiring harness couples the control module with a turbo inlet pressure sensor, a manifold absolute pressure sensor, and an electronic control unit of the vehicle. The control module sends signals to the electronic control unit based on input readings from the turbo inlet pressure sensor and the manifold absolute pressure sensor. The signal adjuster includes a rheostat that enables manual adjustment of the power output of the engine.

Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.

Abstract: A MEMS (MicroElectroMechanical System) device includes: a supporting body; a movable mass, constrained to the supporting body by flexures so as to be able to oscillate in a main direction; an actuator device, configured to apply to the movable mass an electrostatic actuation force, transverse to the main direction; and a control circuit configured to detect stiction conditions, in which the movable mass is stuck to the supporting body by a stiction force, and for driving the actuator device in response to recognition of the stiction conditions. The actuation force is a variable force with an actuation frequency band containing at least one resonance frequency in a direction transverse to the main direction of a mechanical system comprising the movable mass stuck to the supporting body.

Abstract: An in-memory computation (IMC) system includes an in-memory computation circuit formed by a first phase change memory (PCM) array configured to store the computational weights for an in-memory computation operation. A data storage circuit is formed by a second PCM array configured to store backup data for the computational weights for the in-memory computation operation. The first PCM array includes PCM cells made of a phase change material provided by a first GST alloy, and the second PCM array includes PCM cells made of a phase change material provided by a second GST alloy different from the first GST alloy. A control circuit operates to read the backup data from the second PCM array and write to the first PCM array to refresh the computational weights for the in-memory computation operation from the backup data.

Abstract: A method for automatically classifying and tagging natural language data is disclosed. The method includes receiving, via an application programming interface, requests from various sources, each of the requests including raw data in a natural language format; converting the raw data into structured data sets; determining, by using a model, a metadata output for each of the requests based on the corresponding structured data sets; appending the metadata output to the corresponding requests; determining an action for each of the requests based on the corresponding metadata output; and automatically initiating the action.

Abstract: Systems and methods for providing an artificial intelligence-based solution in a dynamic environment that requires models with varying degrees of nuance and specialization. One such dynamic environment relates to generating dynamic human-like conversational responses based on complex data. In particular, systems and methods recite generating dynamic human-like conversational responses using a modular architecture featuring layered data models with gated neural networks. The modular architecture compartmentalizes the various components and functions of an application. That is, the architecture may support multiple layers, each featuring models performing specific functions and/or having been trained on using specific data and/or algorithms.

Abstract: The present disclosure is directed to systems, methods, and non-transitory computer-readable media for adding a first Public Itemization of Public Key Infrastructure Nodes (PIPKIN) object to a blockchain, the first PIPKIN object comprises first hierarchy information of at least one first certificate chain of a first Public Key Infrastructure (PKI), and adding a second PIPKIN object to the blockchain, the second PIPKIN object comprises second hierarchy information of at least one second certificate chain of a second PKI.

Abstract: An in-memory computation device receives an input signal and provides an output signal. The device includes a memory array with memory cells coupled to word lines that receive word line activation signals indicative of the input signal and coupled to bit lines that generate bit line currents; and a digital detector for sampling the bit line current and, in response, providing the output signal. A digital detector includes: a control stage that compares the bit line current with at least one reference current and generates corresponding control signals; a selection stage that generates a total selection current based on the first bit line current and on the control signals; an integration stage that samples the total selection current; and a charge counter stage that generates the output signal on the basis of a sampled first total selection current and the control signals.

Abstract: An actuator assembly for moving an unload tube of an agricultural vehicle between stowed and deployed positions. The actuator assembly includes a mount that is configured to be fixed to a fixed mounting point on the agricultural vehicle. An actuator of the actuator assembly has a first end that is mounted to the mount and a second end that is mounted to the unload tube for moving the unload tube between the stowed and deployed positions. A tension rod of the actuator assembly has a first end that is pivotably mounted to the mount and a second end that is mounted to a fixed tension rod mounting point located either on or adjacent the unload tube.

Abstract: System and method for generating time series forecasts based on probabilistic data are disclosed. A processor receives a request to identify at least one feature of a dataset that is most closely correlated to a single feature specified in the received request. The dataset includes the probabilistic data of the time series. The processor identifies a set of original features within the dataset and derives a degree of dependency between a single specified feature and each original feature by using a temporally first portion of the dataset. After deriving a degree of dependency between all the features including the single specified feature and each engineered feature of the set of original features, the processor identifies an original feature or an engineered feature with the highest degree of dependency as the at least one feature of the dataset that is most closely dependent to the single specified feature.

Abstract: Systems and methods for performing data analytics on sensitive data, such as deduplication are disclosed herein. A first request to perform a first data analytics operation for a set of sensitive data instances may be received. A first set of image representations for the set of sensitive data instances may be retrieved. A first sensitive data instance and a second sensitive data instance may be clustered into a first cluster. The first data analytics operation may be performed on the first cluster.

Abstract: A method for facilitating automated management of computing metrics is disclosed. The method includes aggregating, via an application programming interface, unstructured data from various computing components, the unstructured data including application log data; parsing the unstructured data to generate structured data sets, each of the structured data sets including textual data; extracting time series data from the structured data sets, the time series data relating to performance metrics of the computing components; generating, by using a model, a summary of the textual data in the structured data sets; correlating, by using the model, the summary of the textual data with the time series data; and determining, by using the model, a characteristic for each of the performance metrics based on a result of the correlating, the characteristic including a criticality characteristic.

Abstract: Systems, methods, and apparatuses for encouraging engagement with a rewards system are described herein. A customer associated with a customer device holds a rewards account with a provider associated with a provider computing system. The provider computing system receives rewards and payment card activity of the customer, analyzes the rewards and payment card activity, and generates a rewards engagement rating, which the provider uses to generate and transmit tailored rewards engagement messages to the customer device. The messages provide rewards earn and burn opportunities in which the customer can select to participate.

Abstract: A projector system includes a monitor that measures irradiance of projected light. The monitor direct light from a light source that is sampled in an optical path of the projector onto a sensor. The detector also receives light from a calibration light source. A processor is configured to process an output signal of the sensor to determine irradiance of the projected light. The processing may comprise applying a colour transform and lumped coefficients. The projector system may be configured to take corrective action if the monitored irradiance exceeds a threshold. One application of the disclosed apparatus and methods is improving safety.

Abstract: Systems and methods for preprocessing three dimensional (3D) data prior to generating inverted renders are disclosed herein. The preprocessing may include segmenting the 3D data to remove portions of the data associated with noise such that those portions do not appear in the generated render. The segmentation may include applying a mask to the 3D data. The mask may be generated by sorting data points in the 3D data set into a first set or a second set. In some examples, the 3D data may be filtered prior to generating the mask. In some examples, the mask may be adjusted based on feature recognition. The preprocessing may allow the visualization of hypoechoic regions of interest in a volume.

Abstract: The present invention relates to a tooth whitening system (10), comprising a light source (30), a light detector (40), and a processing unit (50). The light source is configured such that a wavelength of the light emitted is adjustable over a wavelength range of operation. The detector is configured to detect light emitted from the light source. The processing unit is configured to control the light source to adjust the wavelength of the light emitted by the light source and determine a measure of absorption light detected that was emitted from the light source as the wavelength is adjusted. The processing unit is configured to utilize the determined measure of absorption to operate the light source at a wavelength at a peak in absorption.

Abstract: There is provided a method of processing 2D ultrasound images for computing clinical parameter(s) of a right ventricle (RV), comprising: selecting one 2D ultrasound image of 2D ultrasound images depicting the RV, interpolating an inner contour of an endocardial border of the RV for the selected 2D image, tracking the interpolated inner contour obtained for the one 2D ultrasound image over the 2D images over cardiac cycle(s), computing a RV area of the RV for each respective 2D image according to the tracked interpolated inner contour, identifying a first 2D image depicting an end-diastole (ED) state according to a maximal value of the RV area for the 2D images, and a second 2D US image depicting an end-systole (ES) state according to minimal value of the RV area for the 2D images, and computing clinical parameter(s) of the RV according to the identified first and second 2D images.