Abstract: Methods, system, and computer program product are disclosed for enhanced system level testing of an AI hardware accelerator comprising Artificial Intelligence (AI) primitives. The system level testing provides uncompromised test coverage of the AI hardware accelerator while enabling efficient and effective testing performance. Enhanced test data generation, result prediction, and test execution are provided for system level testing of AI hardware accelerator including the AI primitives.

Abstract: The present disclosure is directed to a composite structure comprising at least one reinforced polymer layer comprising a reinforcing material; a layer comprising a metal substrate comprising a surface and a conformal organic coating present on at least a portion of the surface; wherein the layer comprising the metal substrate is in direct contact with the reinforced polymer layer, and the reinforcing material is more noble than the metal substrate. Also disclosed is a method of making a composite structure, a surfacing film, and a test method for evaluating the galvanic corrosion resistance of a metal substrate test piece.

Abstract: A driver can be configured to provide sensed phase currents as feedback to a controller to indicate the output currents from each phase of a switch mode power supply (SMPS). The driver can be configured to temperature compensate the sensed currents in one of two ways. If a temperature sensor is directly coupled to the driver, then the driver may be configured to temperature compensate the sensed currents from each phase based on a temperature measurement made by the temperature sensor. If a temperature sensor is not directly coupled to the driver, then the driver may be configured to temperature compensate the sensed current from each phase based on a temperature signal received from a bus coupled to the driver. The bus can communicate the temperature signal so that multiple drivers can utilize one temperature sensor.

Abstract: A system and method for adapting one or more cybersecurity microservices to accelerate cybersecurity threat mitigation includes constructing a subscriber-specific data corpus comprising a plurality of distinct pieces of computing environment-informative data of a target subscriber; adapting a subscriber-agnostic microservice of the cybersecurity service to a subscriber-specific microservice, wherein: the subscriber-agnostic microservice includes a plurality of subscriber-agnostic cybersecurity event handling instructions, and adapting the subscriber-agnostic microservice to the subscriber-specific microservice includes generating a plurality of context-informed cybersecurity event handling instructions; augmenting the subscriber-agnostic microservice to include the plurality of context-informed cybersecurity event handling instructions; computing for a target cybersecurity event a subscriber-specific threat severity level based on one or more of the plurality of context-informed cybersecurity event handling i

Abstract: Methods, system, and computer program product are disclosed for enhanced system level testing of an AI hardware accelerator comprising Artificial Intelligence (AI) primitives. The system level testing provides uncompromised test coverage of the AI hardware accelerator while enabling efficient and effective testing performance. Enhanced test data generation, result prediction, and test execution are provided for system level testing of AI hardware accelerator including the AI primitives.

Abstract: Methods, system, and computer program product are disclosed for enhanced system level testing of an AI hardware accelerator comprising Artificial Intelligence (AI) primitives. The system level testing provides uncompromised test coverage of the AI hardware accelerator while enabling efficient and effective testing performance. Enhanced test data generation, result prediction, and test execution are provided for system level testing of AI hardware accelerator including the AI primitives.

Abstract: Methods, system, and computer program product are disclosed for enhanced system level testing of an AI hardware accelerator comprising Artificial Intelligence (AI) primitives. The system level testing provides uncompromised test coverage of the AI hardware accelerator while enabling efficient and effective testing performance. Enhanced test data generation, result prediction, and test execution are provided for system level testing of AI hardware accelerator including the AI primitives.

Abstract: A driver can be configured to provide sensed phase currents as feedback to a controller to indicate the output currents from each phase of a switch mode power supply (SMPS). The driver can be configured to temperature compensate the sensed currents in one of two ways. If a temperature sensor is directly coupled to the driver, then the driver may be configured to temperature compensate the sensed currents from each phase based on a temperature measurement made by the temperature sensor. If a temperature sensor is not directly coupled to the driver, then the driver may be configured to temperature compensate the sensed current from each phase based on a temperature signal received from a bus coupled to the driver. The bus can communicate the temperature signal so that multiple drivers can utilize one temperature sensor.

Abstract: A system and method for adapting one or more cybersecurity microservices to accelerate cybersecurity threat mitigation includes constructing a subscriber-specific data corpus comprising a plurality of distinct pieces of computing environment-informative data of a target subscriber; adapting a subscriber-agnostic microservice of the cybersecurity service to a subscriber-specific microservice, wherein: the subscriber-agnostic microservice includes a plurality of subscriber-agnostic cybersecurity event handling instructions, and adapting the subscriber-agnostic microservice to the subscriber-specific microservice includes generating a plurality of context-informed cybersecurity event handling instructions; augmenting the subscriber-agnostic microservice to include the plurality of context-informed cybersecurity event handling instructions; computing for a target cybersecurity event a subscriber-specific threat severity level based on one or more of the plurality of context-informed cybersecurity event handling i

Abstract: Aspects of the present disclosure are directed to a method for refueling an electric vehicle, the method comprising: detecting, by one or more sensors, a lock signal as a function of installing a battery pack into the electric vehicle; and enabling the battery pack, in response to installing the battery pack, wherein enabling the battery pack comprises a contactor. Aspects of the present disclosure may also be direct to a system for refueling an electric vehicle.

Abstract: Aspects of the present disclosure are directed to a method for refueling an electric vehicle, the method comprising: detecting, by one or more sensors, a lock signal as a function of installing a battery pack into the electric vehicle; and enabling the battery pack, in response to installing the battery pack, wherein enabling the battery pack comprises a contactor. Aspects of the present disclosure may also be direct to a system for refueling an electric vehicle.

Abstract: An electric watercraft, wherein the electric watercraft includes at least an electric propulsor configured to propel the electric watercraft in a fluid. Electric watercraft further include a plurality of battery packs located beneath a deck of the electric watercraft and configured to poser the at least an electric propulsor. Electric watercraft further include at least a drainage system configured to drain fluid from the deck, wherein the at least a drainage system further includes at least a drainage path having a drainage path inlet and a drainage path outlet, and the deck and the drainage path inlet are configured to flow fluid from a top side of the deck of the electric watercraft.

Abstract: A system and method for adapting one or more cybersecurity microservices to accelerate cybersecurity threat mitigation includes constructing a subscriber-specific data corpus comprising a plurality of distinct pieces of computing environment-informative data of a target subscriber; adapting a subscriber-agnostic microservice of the cybersecurity service to a subscriber-specific microservice, wherein: the subscriber-agnostic microservice includes a plurality of subscriber-agnostic cybersecurity event handling instructions, and adapting the subscriber-agnostic microservice to the subscriber-specific microservice includes generating a plurality of context-informed cybersecurity event handling instructions; augmenting the subscriber-agnostic microservice to include the plurality of context-informed cybersecurity event handling instructions; computing for a target cybersecurity event a subscriber-specific threat severity level based on one or more of the plurality of context-informed cybersecurity event handling i

Abstract: A method for inertial sensor error modeling and compensation comprises obtaining multiple bias drift datasets for an elapsed time period for one or more gyroscopes; generating a 3D bias drift data plot using the multiple bias drift datasets; generating a partial bias drift data image based on the 3D bias drift data plot; and inputting the partial bias drift data image into a machine learning algorithm to predict how bias drift evolves over time for the gyroscopes. The machine learning algorithm uses the partial bias drift data image, the elapsed time period, and temperature history to compute a predicted bias over temperature with respect to time, to thereby predict bias drift data for a future time period for the gyroscopes. The machine learning algorithm outputs a completed bias drift image that represents drift data from the elapsed time period and the predicted bias drift data for the future time period.

Abstract: A method for inertial sensor error modeling and compensation comprises obtaining multiple bias drift datasets for an elapsed time period for one or more gyroscopes; generating a 3D bias drift data plot using the multiple bias drift datasets; generating a partial bias drift data image based on the 3D bias drift data plot; and inputting the partial bias drift data image into a machine learning algorithm to predict how bias drift evolves over time for the gyroscopes. The machine learning algorithm uses the partial bias drift data image, the elapsed time period, and temperature history to compute a predicted bias over temperature with respect to time, to thereby predict bias drift data for a future time period for the gyroscopes. The machine learning algorithm outputs a completed bias drift image that represents drift data from the elapsed time period and the predicted bias drift data for the future time period.

Abstract: A system and method for adapting one or more cybersecurity microservices to accelerate cybersecurity threat mitigation includes constructing a subscriber-specific data corpus comprising a plurality of distinct pieces of computing environment-informative data of a target subscriber; adapting a subscriber-agnostic microservice of the cybersecurity service to a subscriber-specific microservice, wherein: the subscriber-agnostic microservice includes a plurality of subscriber-agnostic cybersecurity event handling instructions, and adapting the subscriber-agnostic microservice to the subscriber-specific microservice includes generating a plurality of context-informed cybersecurity event handling instructions; augmenting the subscriber-agnostic microservice to include the plurality of context-informed cybersecurity event handling instructions; computing for a target cybersecurity event a subscriber-specific threat severity level based on one or more of the plurality of context-informed cybersecurity event handling i

Abstract: A system and method for adapting one or more cybersecurity microservices to accelerate cybersecurity threat mitigation includes constructing a subscriber-specific data corpus comprising a plurality of distinct pieces of computing environment-informative data of a target subscriber; adapting a subscriber-agnostic microservice of the cybersecurity service to a subscriber-specific microservice, wherein: the subscriber-agnostic microservice includes a plurality of subscriber-agnostic cybersecurity event handling instructions, and adapting the subscriber-agnostic microservice to the subscriber-specific microservice includes generating a plurality of context-informed cybersecurity event handling instructions; augmenting the subscriber-agnostic microservice to include the plurality of context-informed cybersecurity event handling instructions; computing for a target cybersecurity event a subscriber-specific threat severity level based on one or more of the plurality of context-informed cybersecurity event handling i

Abstract: A package for a current sense circuit may include a lead-frame having a shunt resistance configured to generate a shunt voltage, which can be used to measure a current through the lead-frame. The shunt resistance associated with the lead-frame may be highly variable with temperature, which can cause errors in the current measurement. Accordingly, a current sense circuit can include an amplifier with an input resistor having a composite temperature coefficient configured to match a lead-frame temperature coefficient so that an output of the amplifier is compensated to remove variations in the shunt resistance of the lead-frame due to temperature.

Abstract: Aspects of the present disclosure are directed to a method of refueling an electric watercraft. The method may include detecting, by one or more sensors, an unlock signal as a function of unlocking a first battery pack from a first receiver, receiving, by a computing device, the unlock signal, and disabling, by the computing device, the first battery pack and a second battery pack simultaneously, in response to receiving the unlock signal. Disabling the first battery pack and the second battery pack may further include disabling the first battery pack using a first contactor and the second battery pack using a second contactor. Aspects of the present disclosure may also be direct to a system for refueling an electric watercraft.

Abstract: In an aspect the present disclosure is directed to an electric watercraft having a warning light, wherein the electric watercraft includes at least an electric propulsor configured to propel the electric watercraft in a fluid. Electric watercraft further include a plurality of battery packs located beneath a deck of the electric watercraft and configured to poser the at least an electric propulsor. Electric watercraft further include a warning light located on at aft facing surface of the electric watercraft and configured to be viewable from behind the electric watercraft. The electric watercraft further includes at least a controller located on the electric watercraft and in communication with the at least a warning light, wherein the controller is configured to receive at least a warning signal and illuminate the at least a warning light as a function of the at least a warning signal.