Abstract: ALD versus PVD IGZO Channel and AlOx channel passivation in a vertical wordline driver. A pillar is formed in a stacked layer semiconductor structure including a source layer, wherein forming the pillar exposes layers in the semiconductor structure and exposes a portion of the source layer at the bottom of the pillar. A gate oxide film is formed over exposed layers in the semiconductor structure and over the exposed portion of the source layer. A sacrificial silicon liner is formed over the gate oxide, and subsequently both the gate oxide and the sacrificial silicon liner are removed from the pillar bottom in an anisotropic dry etch (“punch”) process that exposes the source layer.

Abstract: In a described example, an apparatus includes: a package substrate for mounting a semiconductor die to a die side surface, the package substrate including leads spaced from one another; and cavities extending into the leads from the die side surface, the cavities having sides and a bottom surface of the lead material, the cavities at locations corresponding to post connect locations on the semiconductor die.

Abstract: A method of assembling a pilot to a torque converter cover is provided with the method including: (a) providing the pilot having an annular projection in a connection region; (b) forming a torque converter cover of a torque converter with a complementary recess or annular groove to the annular projection in a mating connection region; (c) positioning the pilot on the torque converter cover with the annular projection at least partially received in the complementary recess or annular groove; and (d) applying force and energy to the pilot to weld the pilot to the torque converter cover. A torque converter assembly is also provided.

Abstract: A method of assembling a pilot to a torque converter cover is provided with the method including: (a) providing the pilot having an annular projection in a connection region; (b) forming a torque converter cover of a torque converter with a complementary recess or annular groove to the annular projection in a mating connection region; (c) positioning the pilot on the torque converter cover with the annular projection at least partially received in the complementary recess or annular groove; and (d) applying force and energy to the pilot to weld the pilot to the torque converter cover. A torque converter assembly is also provided.

Abstract: A circuit for performing energy-efficient and high-throughput multiply-accumulate (MAC) arithmetic dot-product operations and convolution computations includes a two dimensional crossbar array comprising a plurality of row inputs and at least one column having a plurality of column circuits, wherein each column circuit is coupled to a respective row input. Each respective column circuit includes an excitatory memristor neuron circuit having an input coupled to a respective row input, a first synapse circuit coupled to an output of the excitatory memristor neuron circuit, the first synapse circuit having a first output, an inhibitory memristor neuron circuit having an input coupled to the respective row input, and a second synapse circuit coupled to an output of the inhibitory memristor neuron circuit, the second synapse circuit having a second output. An output memristor neuron circuit is coupled to the first output and second output of each column circuit and has an output.

Abstract: Systems and methods to automatically generate classifiers are provided. A labeled dataset is initially received. The dataset may be for a positive class, or may be a negative for a class, or a false positive class. N features that are predictive for the class (or false positive or the negative class) are identified. These features are combined within a classifier dictionary. Medical records received may be processed in order to be machine readable. Features within the medical records are identified and are compared against the dictionary of classifiers. Matches indicate classes within the medical record. The classifier dictionary may be periodically updated in response to insufficient classification accuracy, or when new data becomes available.

Abstract: A reconfigurable neural circuit includes an array of processing nodes. Each processing node includes a single physical neuron circuit having only one input and an output, a single physical synapse circuit having a presynaptic input, and a single physical output coupled to the input of the neuron circuit, a weight memory for storing N synaptic conductance value or weights having an output coupled to the single physical synapse circuit, a single physical spike timing dependent plasticity (STDP) circuit having an output coupled to the weight memory, a first input coupled to the output of the neuron circuit, and a second input coupled to the presynaptic input, and interconnect circuitry connected to the presynaptic input and connected to the output of the single physical neuron circuit. The synapse circuit and the STDP circuit are each time multiplexed circuits. The interconnect circuitry in each respective processing node is coupled to the interconnect circuitry in each other processing node.

Abstract: Systems and methods to automatically generate classifiers are provided. A labeled dataset is initially received. The dataset may be for a positive class, or may be a negative for a class, or a false positive class. N features that are predictive for the class (or false positive or the negative class) are identified. These features are combined within a classifier dictionary. Medical records received may be processed in order to be machine readable. Features within the medical records are identified and are compared against the dictionary of classifiers. Matches indicate classes within the medical record. The classifier dictionary may be periodically updated in response to insufficient classification accuracy, or when new data becomes available.

Abstract: A hand washing countdown device, including a main body disposed within a distance of a sink, a display unit disposed on at least a portion of a front surface of the main body to display a timer thereon, at least one sensor disposed within at least a portion of the main body and connected to the display unit to detect use of the sink, such that the display unit decrements the timer in response to the at least one sensor detecting the sink being used, and a speaker disposed on at least a portion of the front surface of the main body to emit at least one sound therefrom in response to the timer on the display unit reaching zero.

Abstract: A reconfigurable neural circuit includes an array of processing nodes. Each processing node includes a single physical neuron circuit having only one input and an output, a single physical synapse circuit having a presynaptic input, and a single physical output coupled to the input of the neuron circuit, a weight memory for storing N synaptic conductance value or weights having an output coupled to the single physical synapse circuit, a single physical spike timing dependent plasticity (STDP) circuit having an output coupled to the weight memory, a first input coupled to the output of the neuron circuit, and a second input coupled to the presynaptic input, and interconnect circuitry connected to the presynaptic input and connected to the output of the single physical neuron circuit. The synapse circuit and the STDP circuit are each time multiplexed circuits. The interconnect circuitry in each respective processing node is coupled to the interconnect circuitry in each other processing node.

Abstract: A system for real time bilinear interpolation includes a bilinear interpolation module capable of: generating pixel addresses for original image pixels of an original image needed for performing bilinear interpolation of the original image to form a resized image, wherein the generated pixel addresses assume all the original image pixels of the original image are accessible, and performing bilinear interpolation, and a pixel smart memory module capable: of sequentially receiving original image pixel rows of the original image an original image pixel row a time, predicting which original image pixel rows are needed for performing bilinear interpolation, storing only the needed sequentially received original image pixel rows in a memory, decoding the generated pixel addresses to form decoded addresses to access the needed original image pixel rows stored in the memory, and sending the needed original image pixel rows to the bilinear interpolation module for performing bilinear interpolation.

Abstract: A system configured to identify a target in a synthetic aperture radar signal includes: a feature extractor configured to extract a plurality of features from the synthetic aperture radar signal; an input spiking neural network configured to encode the features as a first plurality of spiking signals; a multi-layer recurrent neural network configured to compute a second plurality of spiking signals based on the first plurality of spiking signals; a readout neural layer configured to compute a signal identifier based on the second plurality of spiking signals; and an output configured to output the signal identifier, the signal identifier identifying the target.

Abstract: An example method facilitates associating data objects with elements of a process to be implemented via a process-based software application. The example method includes determining that a developer has added a particular software element to a software application being developed by the developer; accessing metadata describing the software element; and using the metadata to automatically associate the software element to one or more data objects to be used by the software element during running of the software application. A process cloud may facilitate implementing the method by automatically performing data mapping for software elements, such as approval tasks, forms, and so on, by determining appropriate task outcome data objects with reference to data characterizing a software flow of the software application, and by similarly automatically selecting and/or creating data objects for forms, which may be associated with or used by a task.

Abstract: Described is a low power system for mobile devices that provides continuous, behavior-based security validation of mobile device applications using neuromorphic hardware. A mobile device comprises a neuromorphic hardware component that runs on the mobile device for continuously monitoring time series related to individual mobile device application behaviors, detecting and classifying pattern anomalies associated with a known malware threat in the time series related to individual mobile device application behaviors, and generating an alert related to the known malware threat. The mobile device identifies pattern anomalies in dependency relationships of mobile device inter-application and intra-applications communications, detects pattern anomalies associated with new malware threats, and isolates a mobile device application having a risk of malware above a predetermined threshold relative to a risk management policy.

Abstract: A system configured to identify a target in a synthetic aperture radar signal includes: a feature extractor configured to extract a plurality of features from the synthetic aperture radar signal; a spiking neural network configured to encode the features as a plurality of spiking signals; a readout neural layer configured to compute a signal identifier based on the spiking signals; and an output configured to output the signal identifier, the signal identifier identifying the target.

Abstract: In one implementation, a data transformation tool is configured to allow a user to specify how types of data should be mapped to another type of data in a reusable fashion. In one implementation, the data transformation tool analyzes data selected for input, the desired data output, and determines a list of potential mappings that may be used between the compliant and non-compliant systems. The mappings may be generated through transformational expressions and defined as a data wrapper. Once the definition of the one or more mappings are defined, data transformation tool generates one or more files allowing the execution of the transformation of the input data to the output data during an execution phase, such as runtime.

Abstract: Implementations described herein provide a bidirectional tool configured to provide APIs to enable a cross-cluster service handshakes and design and implementation for enabling two or more instances of an application registered to one cluster and other cluster provides for multi environment interaction. Using a common service registration, users can trigger actions on different instances of the application running in different environments such as a development environment, production environment, and the like. Using the common registration, applications can scale by having extra instances running while a centralized service works as central hub were each instance is registered. Moreover, implementations include utilizing a plurality of deployment asset management layers to establish a stateless API instantiated between point-of-delivery server arrays employed to house multiple customers separated by security partitions.

Abstract: Described is neuromorphic system for authorized user detection. The system includes a client device comprising a plurality of sensor types providing streaming sensor data and one or more processors. The one or more processors include an input processing component and an output processing component. A neuromorphic electronic component is embedded in or on the client device for continuously monitoring the streaming sensor data and generating out-spikes based on the streaming sensor data. Further, the output processing component classifies the streaming sensor data based on the out-spikes to detect an anomalous signal and classify the anomalous signal.

Abstract: A pressure bulkhead for an aircraft comprising a pressurized zone, the pressure bulkhead made of a composite material and comprising a front panel intended to be faced towards the pressurized zone; and a rear panel, substantially parallel to the front panel and intended to be located farther from the pressurized zone than the front panel. The pressure bulkhead further comprises a plurality of longerons located between the front panel and the rear panel, each one of them being attached to the front panel and to the rear panel; and a plurality of stiffeners, some of them being attached to the front panel and a remainder of them being attached to the rear panel.