Abstract: A transform memory controller and method are described herein wherein the transform memory controller comprises logic elements configured to perform desired transform operations on data that flows to-and-from conventional computer memory elements. The transform operations are configured to perform operations on such data without the need for such data to travel to-and-from the conventional computer memory element via the processor (e.g., Central Processing Unit (CPU)) of the computer system. Several desirable transform operations are herein disclosed.

Abstract: The present relates to a device for measuring at least one parameter of a patient, the device comprising a casing equipped with at least one sensor for measuring said parameter of the patient. The device comprises at least three sensors, each sensor being configured for measuring one distinct parameter, said three sensors being chosen among a list comprising at least a temperature sensor to measure a temperature of the patient, a sound sensor to record a body sound of the patient and an oximeter sensor to measure a blood oxygen level of the patient. The three sensors are mounted in the casing so that when the device is in contact with the skin of the patient, at least two distinct parameters, preferably three distinct parameters, are measured simultaneously.

Abstract: A transform memory controller is described herein wherein the transform memory controller comprises logic elements configured to perform desired transform operations on data that flows to-and-from conventional computer memory elements. The transform operations are configured to perform operations on such data without the need for such data to travel to-and-from the conventional computer memory element via the processor (e.g., Central Processing Unit (CPU)) of the computer system. Several desirable transform operations are herein disclosed.

Abstract: Methods may comprise: identifying a fault indicator associated with a physical system; collecting first data related to a state of the physical system; applying a surrogate model to the first data to produce a plurality of potential fault modes; applying an optimization algorithm to the plurality of potential fault modes using a similarity metric to produce an input and a plurality of outputs, wherein each of the plurality of outputs corresponds to one of the plurality of potential fault modes, wherein the input provides differentiation between each of the plurality of outputs; applying the input to the physical system; collecting second data from physical system in response to applying the input; identifying a true mode of the physical system based on a comparison of the second data and the plurality of outputs; and diagnosing a fault of the physical system based on the true mode.

Abstract: A method includes obtaining a binary code of a controller. The method also includes decompiling the binary code of the controller to generate a source code. The method further includes generating one or more abstract syntax trees based on the source code. The method further includes generating an interpretable model based on the one or more abstract syntax trees. The interpretable model is interpretable by subject matter experts.

Abstract: A transform memory controller is described herein wherein the transform memory controller comprises logic elements configured to perform desired transform operations on data that flows to-and-from conventional computer memory elements. The transform operations are configured to perform operations on such data without the need for such data to travel to-and-from the conventional computer memory element via the processor (e.g., Central Processing Unit (CPU)) of the computer system. Several desirable transform operations are herein disclosed.

Abstract: A method includes obtaining a binary code of a controller. The method also includes decompiling the binary code of the controller to generate a source code. The method further includes generating one or more abstract syntax trees based on the source code. The method further includes generating an interpretable model based on the one or more abstract syntax trees. The interpretable model is interpretable by subject matter experts.

Abstract: Methods may comprise: identifying a fault indicator associated with a physical system; collecting first data related to a state of the physical system; applying a surrogate model to the first data to produce a plurality of potential fault modes; applying an optimization algorithm to the plurality of potential fault modes using a similarity metric to produce an input and a plurality of outputs, wherein each of the plurality of outputs corresponds to one of the plurality of potential fault modes, wherein the input provides differentiation between each of the plurality of outputs; applying the input to the physical system; collecting second data from physical system in response to applying the input; identifying a true mode of the physical system based on a comparison of the second data and the plurality of outputs; and diagnosing a fault of the physical system based on the true mode.

Abstract: Quantum field-programmable analog arrays (FPAAs) may be useful in solving differential equations. For example, a quantum FPAA may comprise: an array of computational analog blocks (CABs) configured to perform a mathematical operation; and an interconnection network connecting the CABs, the interconnection network comprising communication paths and switches. Said quantum FPAAs may be useful in integrated chips, computing systems, and related methods.

Abstract: A method includes receiving a subject-matter expert (SME) interpretable model. The method further includes converting, by a processing device, the SME interpretable model into a functional mockup unit (FMU). The method further includes integrating the FMU into a control software project (CSP). The method further includes compiling the CSP into binary code.

Abstract: An approach to architecting engineering design and digital manufacturing software systems by orchestrating several independently deployable, limited in scope, small software components (i.e., microservices). Interactions between these components are composed via first-order descriptions of workflows, allowing the construction of flexible, scalable, resilient systems.