Abstract: A method for testing artificial intelligence units (AIUs) located across separate processing chips is disclosed. The method provides the right test environment and test cases that stress remote AIU usages. The test cases include multiple machine instruction streams built to be executed on AIUs located on different processing chips. These test instruction streams include AIU primitives that may be executed on local or remote AIUs. The insertion of AIU primitives in each instruction stream is based on a random selection. This randomness allows concentration of AIU primitives in instruction streams built for processor cores of one processing chip while instruction streams running on another processing chip may lack AIU primitives, and as a result, the AIU on that processing chip may become idle. The test cases also cause different AIUs on different processing chips to compete for resources such as input and output data buffers.

Abstract: A sensor assembly comprises a case structure, a support structure having a plurality of surfaces and located within the case structure, and at least one sensor package having a sensor lid. The sensor lid is mechanically coupled to one of the surfaces of the support structure. At least one sensor board is connected to the at least one sensor package. At least one isolator structure is coupled between at least one of the surfaces of the support structure and the case structure.

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 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: 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 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 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 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 rack for holding samples and various reagents, wherein the rack may be used for loading the samples and reagents prior to using the reagents. The rack accepts complementary reagent holders, each of which contain a set of reagents for carrying out a predetermined processing operation, such as preparing biological samples for amplifying and detecting polynucleotides extracted from the samples.

Abstract: A system for thermocycling biological samples within detection chambers comprising: a set of heater-sensor dies, each heater-sensor die comprising a heating surface configured to interface with a detection chamber and a second surface, inferior to the heating surface, including a first connection point; an electronics substrate, comprising a first substrate surface coupled to the second surface of each heater-sensor die, an aperture providing access through the electronics substrate to at least one heater-sensor die, and a second substrate surface inferior to the first substrate surface, wherein the electronics substrate comprises a set of substrate connection points at least at one of the first substrate surface, an aperture surface defined within the aperture, and the second substrate surface, and wherein the electronics substrate is configured to couple heating elements and sensing elements of the set of heater-sensor dies to a controller; and a set of wire bonds, including a wire bond coupled between the

Abstract: A system and method of manufacture for the system, comprising a set of heater-sensor dies, each heater-sensor die comprising an assembly including a first insulating layer, a heating region comprising an adhesion material layer coupled to the first insulating layer and a noble material layer, and a second insulating layer coupled to the heating region and to the first insulating layer through a pattern of voids in the heating region, wherein the pattern of voids in heating region defines a coarse pattern associated with a heating element of the heating region and a fine pattern, integrated into the coarse pattern and associated with a sensing element of the heating region; an electronics substrate configured to couple heating elements and sensing elements of the set of heater-sensor dies to a controller; and a set of elastic elements configured to bias each of the set of heater-sensor dies against a detection chamber.

Abstract: A system for thermocycling biological samples within detection chambers comprising: a set of heater-sensor dies, each heater-sensor die comprising a heating surface configured to interface with a detection chamber and a second surface, inferior to the heating surface, including a first connection point; an electronics substrate, comprising a first substrate surface coupled to the second surface of each heater-sensor die, an aperture providing access through the electronics substrate to at least one heater-sensor die, and a second substrate surface inferior to the first substrate surface, wherein the electronics substrate comprises a set of substrate connection points at least at one of the first substrate surface, an aperture surface defined within the aperture, and the second substrate surface, and wherein the electronics substrate is configured to couple heating elements and sensing elements of the set of heater-sensor dies to a controller; and a set of wire bonds, including a wire bond coupled between the