Abstract: The present disclosure describes a machine learning model trained to identify social engineering attacks. A prompt may be provided to a generative artificial intelligence to create communications resembling social engineering attacks. The communications may be inputted into a machine learning model to train the machine learning model to identify social engineering attacks. The machine learning model may also be trained on actual social engineering attacks. Once trained, the machine learning model may be deployed to monitor a plurality of communication channels to detect social engineering attacks. Upon detecting a social engineering attack, a system may implement one or more remedial actions to mitigate the detected social engineering attack.

Abstract: Methods and systems for generating synthetic training data based on abandoned web activity data are described herein. In some aspects, the system determines that a user abandoned a user activity included in web activity data for the user. The system processes, using a first machine learning model, the abandoned web activity data to generate a probability for each entry in the abandoned web activity data. Each probability indicates a likelihood that the abandoned user activity would have been completed. The system generates a synthetic dataset that includes abandoned web activity with a probability above a threshold. The system uses the synthetic dataset to train a second machine learning model. The system tests the machine learning model using a testing dataset based on completed user activities.

Abstract: Methods, systems, and apparatuses are described herein for using machine learning to generate and use synthetic profiles. A computing device may train a machine learning model to generate synthetic user profiles. The computing device may then use the trained machine learning model to generate a plurality of synthetic user profiles based on real user profile information, provide those synthetic user profiles to a quote provider via an API, then average the quotes received from that provider to determine an expected quote for the real user. The computing device may also collect a plurality of quotes from a quote provider based on synthetic user profiles, then train a second machine learning model to estimate quotes by that provider. That trained second machine learning model may be used to estimate quotes for users, and may be re-trained based on real quotes provided by the quote provider at a later time.

Abstract: In some implementations, a device may obtain an audio input. The device may perform an audio-to-text operation to translate the audio input into a first text output. The device may detect that a first portion of the first text output is to be modified to include an entity name. The device may perform, using an identifier of a source of the audio input, a lookup operation to identify the entity name. The device may modify the first text output to obtain a second text output by replacing the first portion with the entity name.

Abstract: Methods and systems are described herein for generating images based on generated clusters. The system retrieves, from an account of a user, historic events associated with the user and determines clusters of the historic events based on location and time data associated with the historic events. The system generates an input for a machine learning model for a first cluster of historic events, where the machine learning model has been trained to generate images based on clusters of historic events. The system then inputs the input into the machine learning model to cause the machine learning model to output images depicting locations associated with the first cluster of historic events. The system outputs the images in conjunction with the first cluster of historic events.

Abstract: A method and related system of operations include obtaining, from a set of internet protocol (IP) addresses, a set of transaction messages indicating an on-chain address and determining whether a stored set of registered IP addresses comprises each respective address of the set of IP addresses. The method further includes determining whether a predicted use pattern related to the set of transaction messages matches a use pattern category and updating a record of an off-chain database associated with the on-chain address based on a determination that the stored set of registered IP addresses does not comprise each respective address of the set of IP addresses and a determination that the predicted use pattern matches the use pattern category.

Abstract: A method and related system of operations that include retrieving a set of on-chain transactions of an on-chain address from a scan of on-chain transactions based on a request identifying the on-chain address and generating a sequence of embedding vectors by providing the set of on-chain transactions to a first machine learning model. The method further includes predicting a first use pattern of the on-chain address by providing the sequence of embedding vectors to a second machine learning model and determining whether the first use pattern matches with a second use pattern. The method further includes updating a record of the on-chain address in an off-chain database to indicate anomalous activity in response to a determination that the first use pattern does not match with the second use pattern.

Abstract: A resistance measuring circuit includes a current generating component, a current control component, and a voltage measurement component. The magnitude of a target resistance can be measured by connecting the target resistance between first and second measurement terminals of the resistance measuring circuit, applying a current generated by the current generating component to the target resistance, and determining the voltage across the target resistance. When no target resistance is connected between the first and second measurement terminals, the current control component controls the current generating component to reduce current consumption of the resistance measuring circuit.

Abstract: Systems and methods for dissipating heat generated during an electrical function are disclosed. In particular, the disclosed systems and methods can be used for dissipating heat generated during low impedance measurement on a multimeter. In some embodiments, the multimeter can include a first thermistor coupled in series with a resistor in a measurement path, a second thermistor, and a switch coupled to the measurement path and the second thermistor for selectively including the second thermistor in the measurement path during a low impedance measurement.

Abstract: A passive radio frequency probe that can detect low level RF signals is disclosed. Schottky diodes are used in the probe to convert alternating current (AC) signals to direct current (DC) signals on a one-to-one basis within a given tolerance. The probe is used with a DC voltmeter to permit measurements of radio frequency signals.

Abstract: A resistance measuring circuit includes a current generating component, a current control component, and a voltage measurement component. The magnitude of a target resistance can be measured by connecting the target resistance between first and second measurement terminals of the resistance measuring circuit, applying a current generated by the current generating component to the target resistance, and determining the voltage across the target resistance. When no target resistance is connected between the first and second measurement terminals, the current control component controls the current generating component to reduce current consumption of the resistance measuring circuit.

Abstract: A resistance measuring circuit includes a current generating component, a current control component, and a voltage measurement component. The magnitude of a target resistance can be measured by connecting the target resistance between first and second measurement terminals of the resistance measuring circuit, applying a current generated by the current generating component to the target resistance, and determining the voltage across the target resistance. When no target resistance is connected between the first and second measurement terminals, the current control component controls the current generating component to reduce current consumption of the resistance measuring circuit.

Abstract: Systems and methods for dissipating heat generated during an electrical function are disclosed. In particular, the disclosed systems and methods can be used for dissipating heat generated during low impedance measurement on a multimeter. In some embodiments, the multimeter can include a first thermistor coupled in series with a resistor in a measurement path, a second thermistor, and a switch coupled to the measurement path and the second thermistor for selectively including the second thermistor in the measurement path during a low impedance measurement.

Abstract: Systems and methods for dissipating heat generated during an electrical function are disclosed. In particular, the disclosed systems and methods can be used for dissipating heat generated during low impedance measurement on a multimeter. In some embodiments, the multimeter can include a first thermistor coupled in series with a resistor in a measurement path, a second thermistor, and a switch coupled to the measurement path and the second thermistor for selectively including the second thermistor in the measurement path during a low impedance measurement.

Abstract: A resistance measuring circuit includes a current generating component, a current control component, and a voltage measurement component. The magnitude of a target resistance can be measured by connecting the target resistance between first and second measurement terminals of the resistance measuring circuit, applying a current generated by the current generating component to the target resistance, and determining the voltage across the target resistance. When no target resistance is connected between the first and second measurement terminals, the current control component controls the current generating component to reduce current consumption of the resistance measuring circuit.

Abstract: Systems and methods for dissipating heat generated during an electrical function are disclosed. In particular, the disclosed systems and methods can be used for dissipating heat generated during low impedance measurement on a multimeter. In some embodiments, the multimeter can include a first thermistor coupled in series with a resistor in a measurement path, a second thermistor, and a switch coupled to the measurement path and the second thermistor for selectively including the second thermistor in the measurement path during a low impedance measurement.

Abstract: An apparatus and method of measuring capacitances are provided in which charge packets of known value are delivered to a capacitor of unknown value until a final voltage is determined, and the capacitance is calculated based on the known total charge and measured voltage.

Abstract: An apparatus and method of measuring capacitances are provided in which charge packets of known value are delivered to a capacitor of unknown value until a final voltage is determined, and the capacitance is calculated based on the known total charge and measured voltage.

Abstract: A multiple slope integrating analog-to-digital converter (ADC) includes many improvements and refinements which eliminate timing and non-linearity errors which accumulate due to a large number of switching operations that occur over an integrate cycle. The ADC includes an integrator and a comparator in which an input voltage to be measured is applied to a summing node at the input of the integrator during an integrate cycle, while at the same time positive and negative reference currents are selectively applied to the summing node by a controller which monitors the output of the comparator in order to limit the voltage magnitude at the output of the integrator. Thereafter, during a de-integrate cycle, the input voltage is disconnected while progressively shallower ramps are measured with a high-speed clock for greater resolution and accuracy. The comparator has a slight hysteresis built in to slightly separate the switching thresholds for positive-going and negative going ramps.

Abstract: A miniature high frequency power transformer comprises first and second "E" shaped ferrite core halves surrounding mating inner and outer modular transformer bobbins having formed thereon respectively the primary and secondary windings of the transformer. The inner and outer modular transformer bobbins are positioned such that the inner transformer bobbin is inserted into the outer transformer bobbin with the secondary windings surrounded by the primary windings. When assembled, the inner modular transformer bobbin has a protrusion that extends axially therefrom through the outer bobbin and terminates in first core retaining ears at one end of the transformer. Second core retaining ears extend from the opposite end of the transformer, and both ears receive the "E" shaped core halves, maintained in position on the transformer by bonding.