Abstract: A computing device for determining a new credit card number that is a continuation match with an old credit card number of a credit card account that has changed numbers comprises a processing element programmed to: receive transactional data for a plurality of credit card numbers, determine a plurality of old credit card numbers and a plurality of new credit card numbers, determine a plurality of clusters of new credit card numbers, convert the transactional data for each old credit card number and the associated cluster of new credit card numbers into snapshots with an image-like data format, train a modified siamese network with instances of snapshots of an old credit card number, a first new credit card number, and a second new credit card number, and use the modified siamese network to determine one new credit card number that is an upgrade of one old credit card number.

Abstract: The present invention relates to a method and framework for designing of VLSI circuit using graphical user interface. The method comprises of selecting one or more components from a design tool bar module and/or a user library module configured within a graphical user interface (GUI) for creating a system/circuit design; providing connectivity information representing interconnections or interface between the selected components of the system design over a design plane or form by the user; specifying input and output ports information for the system design; specifying a hardware description language (HDL) from plurality of HDLs for HDL code generation into a hardware description language module; a timing waveform creation module configured to generate timing waveforms representing digital signals of the generated design; a low power intent module to low power circuit design, and generating the power intent into a UPF.

Abstract: A computing device for determining a new credit card number that is a continuation match with an old credit card number of a credit card account that has changed numbers comprises a processing element programmed to: receive transactional data for a plurality of credit card numbers, determine a plurality of old credit card numbers and a plurality of new credit card numbers, determine a plurality of clusters of new credit card numbers, convert the transactional data for each old credit card number and the associated cluster of new credit card numbers into snapshots with an image-like data format, train a modified siamese network with instances of snapshots of an old credit card number, a first new credit card number, and a second new credit card number, and use the modified siamese network to determine one new credit card number that is an upgrade of one old credit card number.

Abstract: Disclosed herein are signal amplifiers that include a plurality of switchable amplifier architectures so that particular gain modes can use dedicated amplifier architectures to provide desired characteristics for those gain modes, such as low noise figure or high linearity. The disclosed signal amplifier architectures provide tailored impedances using a degeneration block or matrix without using switches in the degeneration switching block. The disclosed signal amplifier architectures provide a plurality of gain modes where different gain modes use different paths through the amplifier architecture. Switches that are used to select the path through the amplifier architecture also provide targeted impedances in a degeneration block or matrix. The switches that select the gain path are provided in the amplifier architecture and are thus not needed or used in the degeneration block, thereby reducing the size of the package for the amplifier architecture.

Abstract: Disclosed are a process, system and medium for explaining an anomaly detected in an authentication request by a classifier, including. obtaining the anomaly detection model, with the anomaly detection model having been trained to detect anomalous authentication requests. Also disclosed is obtaining a multi-layer perceptron (MLP) model trained to provide MLP results similar to anomaly detection results when the same features are provided to both the anomaly detection model and the MLP model. During the MLP model training, the anomaly detection model results serve as ground truth; also, detecting, by the anomaly detection model, that the authentication request is anomalous and providing the authentication request features to an explanation tool using the MLP. Based on the detecting, also disclosed is obtaining, from the explanation tool, an explanation comprising at least one identification of the authentication request feature that contributed most to the detection of anomaly.

Abstract: Multi-mode broadband low noise amplifiers (LNAs) are disclosed herein. In certain embodiments, an LNA includes a first amplification stage and a second amplification stage having a lower gain than the first amplification stage. The LNA is operable in a plurality of operating modes including a first mode in which the first amplification stage and the second amplification stage operate in a cascade to amplify a radio frequency (RF) receive signal, and a second mode in which the first amplification stage amplifies the RF receive signal and the second amplification stage is bypassed.

Abstract: A process, system and medium for detecting anomalous authentication requests to a protected resource during an authentication journey, in order to regulate step-up authentication are described. The process includes obtaining request features from the authentication request that triggered the authentication journey. The process includes processing, by an ensemble of Machine Learning (ML) models and a set of rule-based heuristics, a set of features based on the request features, the set of features associated with a userID. The process includes deriving risk sub-scores for each ML model and each heuristic. The process includes deriving a risk score based on the risk sub-scores. The process includes determining that the risk score exceeds an explanation-triggering threshold. The process includes providing, to a node in the authentication journey, the risk score with an explanation of the risk score. The system and medium are configured to execute the process, and configured to provide the explanation.

Abstract: A process, system and medium for building a training set and performing supervised training of a Machine Learning (ML) model that determines a risk score used to decide whether to impose stepped up authentication during an authentication journey are described. The process includes selecting examples of completed authentication journeys, including failed and successful authentication outcomes after step-up requirements during the example journeys. The process includes pairing ground truth outcomes from the example journeys with authentication request features initially available prior to imposition of the step-up requirements to produce request feature-outcome pairs. The process includes using at least the request feature-outcome pairs to perform the supervised training of the ML model to determine a risk score that can be used to decide whether to impose the stepped up authentication during an authentication journey. The system and medium are configured to execute the process.

Abstract: A process, system and medium for conditional invocation of step-up authentication based on anomalous requests during an authentication journey, without burdening legitimate users, are described. The process includes sending features of an authentication request, ostensibly from a user, and a userID of the user, to an access prediction service. The process includes receiving feedback from the access prediction service, the feedback comprising a risk score and an explanation of the risk score. The process includes finding, based on the risk score, that the authentication request is anomalous for the userID. The process includes, based on the finding that the authentication request is anomalous and the explanation, determining whether to invoke step-up authentication. In some implementations, the determining does not invoke step-up authentication, whereby the ostensible user is not challenged despite the finding of anomaly. The system and medium are configured to execute the process.

Abstract: Multi-mode broadband low noise amplifiers (LNAs) are disclosed herein. In certain embodiments, an LNA includes a first amplification stage and a second amplification stage having a lower gain than the first amplification stage. The LNA is operable in a plurality of operating modes including a first mode in which the first amplification stage and the second amplification stage operate in a cascade to amplify a radio frequency (RF) receive signal, and a second mode in which the first amplification stage amplifies the RF receive signal and the second amplification stage is bypassed.

Abstract: Disclosed herein are signal amplifiers that include a plurality of switchable amplifier architectures so that particular gain modes can use dedicated amplifier architectures to provide desired characteristics for those gain modes, such as low noise figure or high linearity. The disclosed signal amplifier architectures provide tailored impedances using a degeneration block or matrix without using switches in the degeneration switching block. The disclosed signal amplifier architectures provide a plurality of gain modes where different gain modes use different paths through the amplifier architecture. Switches that are used to select the path through the amplifier architecture also provide targeted impedances in a degeneration block or matrix. The switches that select the gain path are provided in the amplifier architecture and are thus not needed or used in the degeneration block, thereby reducing the size of the package for the amplifier architecture.

Abstract: Multi-mode broadband low noise amplifiers (LNAs) are disclosed herein. In certain embodiments, an LNA includes a first amplification stage and a second amplification stage having a lower gain than the first amplification stage. The LNA is operable in a plurality of operating modes including a first mode in which the first amplification stage and the second amplification stage operate in a cascade to amplify a radio frequency (RF) receive signal, and a second mode in which the first amplification stage amplifies the RF receive signal and the second amplification stage is bypassed.

Abstract: Radio frequency front end modules implementing coexisting time division duplexing and frequency division duplexing are provided. In one aspect, a front end system includes a time-division duplexing transmit terminal, a time-division duplexing receive terminal, a frequency division duplexing terminal, and an antenna terminal. The front end system further includes first, second, and third switches configured to selectively connect the terminals to either a node or the antenna. The front end system also includes a controller configured to provide delays between disconnecting the terminals from the antenna and connecting the terminals to the node.

Abstract: Methods are provided for producing hydrocarbons and recovering solvent from a subterranean reservoir that is penetrated by an injection well and a production well, in which a production phase involves injecting solvent (and optionally steam) to mobilize viscous hydrocarbons and a solvent-recovery phase involves non-condensable gas injection. The production phase and the solvent-recovery phase are each defined by an injection profile. The solvent-recovery-phase injection profile is selected: (i) based on the production-phase injection profile, and (ii) to ensure the pressure/temperature conditions in proximity to the production well favor gas-phase solvent recovery.

Abstract: Multi-mode broadband low noise amplifiers (LNAs) are disclosed herein. In certain embodiments, an LNA includes a first amplification stage and a second amplification stage having a lower gain than the first amplification stage. The LNA is operable in a plurality of operating modes including a first mode in which the first amplification stage and the second amplification stage operate in a cascade to amplify a radio frequency (RF) receive signal, and a second mode in which the first amplification stage amplifies the RF receive signal and the second amplification stage is bypassed.

Abstract: A network interface controller (NIC) associated with a virtual machine (VM) in a cloud computing network is configured to be flexibly attached and detached from a parent NIC to thereby enable the virtual machine to simultaneously be attached to multiple different virtual networks (VNets) and/or subnets that are associated with the same or different subscriptions. The inventive NIC, referred to herein as a flexibly extensible NIC (eNIC), enables a service provider to inject compute instances into an existing VNet using a multi-homing configuration in which the data plane uses a dedicated network interface to connect the customer's VNet, while another dedicated network interface provides management plane connectivity to the service provider. Such multi-VNet homing advantageously provides data plane isolation for the customer's VNet to comply with applicable security policies without disrupting management traffic between the injected resources and the service provider.

Abstract: Radio frequency front end modules implementing coexisting time division duplexing and frequency division duplexing are provided. In one aspect, a front end system includes a time-division duplexing transmit terminal, a time-division duplexing receive terminal, a frequency division duplexing terminal, and an antenna terminal. The front end system further includes first, second, and third switches configured to selectively connect the terminals to either a node or the antenna. The front end system also includes a controller configured to provide delays between disconnecting the terminals from the antenna and connecting the terminals to the node.

Abstract: Systems and methods for simultaneously recovering and separate sounds from multiple sources using Impulse Radio Ultra-Wideband (IR-UWB) signals are described. In one embodiment, a device can be configured for generating an audio signal based on audio source ranging using ultrawideband signals. In an embodiment the device includes, a transmitter circuitry, a receiver circuitry, memory and a processor. The processor configured to generate a radio signal. The radio signal including an ultra-wideband Gaussian pulse modulated on a radio-frequency carrier. The processor further configured to transmit the radio signal using the transmitter circuitry, receive one or more backscattered signals at the receiver circuitry, demodulate the one or more backscattered signals to generate one or more baseband signals, and generate a set of data frames based on the one or more baseband signals.

Abstract: Systems and methods for tracking inventory items in an area of real space are disclosed. The method includes receiving a signal generated in dependence on sensors. The signal indicates a change to a portion of an image of an area of real space. The method includes, in response to receiving the signal, implementing a trained location detection model to determine, based on inputs, whether an inventory item identified in the portion of the image has changed a position in the area of real space. The method includes implementing a trained item classification model to determine a classification of the inventory item. The method includes updating an inventory database with inventory item data determined in dependence on the classification of the inventory item to provide an updated map of the area of real space as a result of the received signal indicating the change to the portion of the image.

Abstract: Systems and methods for detecting a size of an inventory item in an area of real space are disclosed. The method includes receiving respective sequences of images of corresponding fields of view in the area of real space from a plurality of sensors. The method includes determining a two-dimensional plane in the area of real space by matching at least three points on a first image obtained by a first sensor and a second image obtained by a second sensor. The method includes selecting an inventory item, from the first image, for which a size is to be determined. The method includes warping the first image onto the two-dimensional plane. The method includes cropping out the selected inventory item from the warped image. The method includes, inputting, the cropped out image of the inventory item and another image of an inventory item to a trained size determination model.