Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that augment classification for low prevalence samples. An example non-transitory computer readable medium comprises instructions that, when executed, causes a machine to at least classify a data sample using a first classifier, classify the data sample using a second classifier different from the first classifier, the second classifier using a plurality of sensitive hashing (LSH) forests to analyze a sorted plurality of neighbor samples, determine whether a first classification result of the first classifier meets or exceeds a confidence threshold, in response to the first classification result of the first classifier meeting or exceeding the confidence threshold, output the first classification result, and in response to the first classification result of the first classifier not meeting or exceeding the confidence threshold, output a second classification result of the second classifier.

Abstract: A braking system for a vehicle includes a first axle attached to a chassis and rotatably supporting two front wheels, with a first brake including a first electronic brake controller for controlling application of braking to the front wheels. A second axle rotatably supports two rear wheels and is detachably connected to the chassis and has a second electronic brake controller and a second brake attached thereto for braking the rear wheels. Each of the electronic brake controllers has an independent power source. The system also includes an electronic park brake controller and parking brake. A vehicle control unit is in communication with each of the electronic brake controllers for coordinating control of the braking system. One or more communications network cables, which may be wired or wireless, connect the electronic brake controllers. An electrical connector allows for swapping the second axle, which requires no fluidic connections.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes at least one memory, instructions; and processor circuitry to execute the instructions to train a neural network with a plurality of raw byte data samples, perform feature extraction on ones of the plurality of raw byte data samples, determine whether ones of the plurality of raw byte data samples are clean or malicious using the extracted features, and determine a family of malware to which an identified malicious sample belongs.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes at least one memory, instructions, and processor circuitry to execute the instructions. The processor circuitry executes the instructions to identify a test data distribution, generate a first visualization of the identified test data distribution, select a visualization type for a machine learning model, generate a second visualization including an indication of features extracted from the test data by the machine learning model, and generate a third visualization of results of inference performed by the machine learning model, the inference performed on the test data.

Abstract: A lighting system configured for daylight emulation. The system includes a plurality of light sources for generating a daylight-emulating output light spectrum. The system also includes a controller for dynamically controlling at least one of the intensity, directionality and color temperature to emulate sun position for at least one of a geography and time of day. The system further includes a networking facility that facilitates data communication with at least one external resource.

Abstract: An example operation may include one or more of receiving, via a payment network, a request to detokenize a payment token to process a payment transaction between a source and a target, detokenizing the payment token based on mapping data stored in a token vault, transmitting information about the detokenized payment token to a computing device associated with the request, generating a settlement token that comprises identifiers of the source and the target and an identifier of the payment token, and transmitting the settlement token to a blockchain on a blockchain settlement network which is parallel to the payment network.

Abstract: Systems and methods are described herein for controlling heat flow between systems of an electric automotive vehicle. An automotive electric vehicle system includes a high voltage battery system including an enclosure, an electric powertrain system, a radiator, coolant lines that permit coolant flow between the high voltage battery system, the power train system and the radiator, one or more valves for routing coolant along the coolant lines, and a controller. The controller is configured to control the one or more valves to control the flow of coolant among a plurality of different, selectable coolant flow states involving the high voltage battery system, the powertrain system and the radiator.

Abstract: A lighting system configured for daylight emulation. The system includes a plurality of light sources for generating a daylight-emulating output light spectrum. The system also includes a controller for dynamically controlling at least one of the intensity, directionality and color temperature to emulate sun position for at least one of a geography and time of day. The system further includes a networking facility that facilitates data communication with at least one external resource.

Abstract: An optical beam scanner includes a first optical beam steering device having a first surface thereon, which is configured to redirect a first optical beam incident thereon through reflection, refraction and/or diffraction of the first optical beam, and a second optical beam steering device having a second surface thereon, which is configured to reflect the redirected first optical beam incident thereon at a scanning target when both first and second surfaces are rotating about respective first and second axes of the first and second optical beam steering devices and the redirected first optical beam is tracing an uninterrupted loop on the second surface. The first optical beam steering device may be configured as a first monogon, a first prism, or a first grating, and the second optical beam steering device may be configured as a second monogon. The first and second axes may be collinear.

Abstract: A lighting system configured for daylight emulation. The system includes a plurality of light sources for generating a daylight-emulating output light spectrum. The system also includes a controller for dynamically controlling at least one of the intensity, directionality and color temperature to emulate sun position for at least one of a geography and time of day. The system further includes a networking facility that facilitates data communication with at least one external resource.

Abstract: A manipulation device includes an appendage extending from a base, the appendage comprising a flexible material having a resting pose and adapted to be deformed into a plurality of different poses, and at least one tendon attached to an end of the appendage and passing through the base or a portion of the appendage between the base and the distal end, such that actuation of the at least one tendon causes deformation of the appendage from the resting pose to a new pose. Systems and methods for fabricating and optimizing a manipulation device are also provided.

Abstract: Systems and methods are described herein for controlling heat flow between systems of an electric automotive vehicle. An automotive electric vehicle system includes a high voltage battery system including an enclosure, an electric powertrain system, a radiator, coolant lines that permit coolant flow between the high voltage battery system, the power train system and the radiator, one or more valves for routing coolant along the coolant lines, and a controller. The controller is configured to control the one or more valves to control the flow of coolant among a plurality of different, selectable coolant flow states involving the high voltage battery system, the powertrain system and the radiator.

Abstract: The present disclosure provides methods and systems for performing non-classical computations. The methods and systems generally use a plurality of spatially distinct optical trapping sites to trap a plurality of atoms, one or more electromagnetic delivery units to apply electromagnetic energy to one or more atoms of the plurality to induce the atoms to adopt one or more superposition states of a first atomic state and a second atomic state, one or more entanglement units to quantum mechanically entangle at least a subset of the one or more atoms in the one or more superposition states with at least another atom of the plurality, and one or more readout optical units to perform measurements of the superposition states to obtain the non-classical computation.

Abstract: The present disclosure provides methods and systems for performing non-classical computations. The methods and systems generally use a plurality of spatially distinct optical trapping sites to trap a plurality of atoms, one or more electromagnetic delivery units to apply electromagnetic energy to one or more atoms of the plurality to induce the atoms to adopt one or more superposition states of a first atomic state and a second atomic state, one or more entanglement units to quantum mechanically entangle at least a subset of the one or more atoms in the one or more superposition states with at least another atom of the plurality, and one or more readout optical units to perform measurements of the superposition states to obtain the non-classical computation.

Abstract: Methods and apparatus for secure software defined storage are disclosed. An example apparatus includes memory and a processor to access a read request for data written to a software defined storage location, obtain the requested data from the software defined storage location, perform a classification operation on the requested data to obtain classification data corresponding to the requested data, the classification data to represent whether the requested data includes personally identifiable information, in response to determining that the requested data includes personally identifiable information, apply data loss prevention to the requested data to create response data, determine whether a client requesting the data from the software defined storage location is authorized to access the requested data, and in response to determining that the client requesting data is authorized to access the requested data, transmit the response data to the client.

Abstract: A method for halting malware includes: monitoring plural file system events with a system driver to detect an occurrence of a file system event having a predetermined file type and log event type; triggering a listening engine for file system event stream data of a file associated with the detection of the file system event, the file system event stream data indicating data manipulation associated with the file due to execution of a process; obtaining one or more feature values for each of plural different feature combinations of plural features of the file based on the file system event stream data; inputting one or more feature values into a data analytics model to predict a target label value based on the one or more feature values of the plural different feature combinations and agnostic to the process; and performing a predetermined operation based on the target label value.

Abstract: Providing secure software defined storage includes identifying data directed to be stored in a software defined storage location, intercepting the data, performing a security operation on the intercepted data, and transmitting the data to the software defined storage.

Abstract: Polarizable diamond materials and methods for obtaining nuclear magnetic resonance spectra of samples external to the diamond materials are described. The diamond materials can include 12C, 13C, substitutional nitrogen, and nitrogen vacancy defects in a crystalline lattice, wherein the substitutional nitrogen concentration is between 10 ppm and 200 ppm, the nitrogen vacancy concentration is between 10 ppb and 10 ppm, and the 13C concentration is greater than 1.1% and not more than 25%. Methods for obtaining nuclear magnetic resonance spectra can include optically pumping a diamond material to generate electron spin hyperpolarization in nitrogen vacancy centers, transferring the electron spin hyperpolarization to nuclei of the sample, and generating a nuclear magnetic resonance spectrum by applying a magnetic field to the sample, exciting the sample with a radio frequency pulse, and detecting a nuclear magnetic resonance response from the sample.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to detect deepfake content. An example apparatus to determine whether input media is authentic includes a classifier to generate a first probability based on a first output of a local binary model manager, a second probability based on a second output of a filter model manager, and a third probability based on a third output of an image quality assessor, a score analyzer to obtain the first, second, and third probabilities from the classifier, and in response to obtaining a first result and a second result, generate a score indicative of whether the input media is authentic based on the first result, the second result, the first probability, the second probability, and the third probability.

Abstract: A method for halting malware includes: monitoring plural file system events with a system driver to detect an occurrence of a file system event having a predetermined file type and log event type; triggering a listening engine for file system event stream data of a file associated with the detection of the file system event, the file system event stream data indicating data manipulation associated with the file due to execution of a process; obtaining one or more feature values for each of plural different feature combinations of plural features of the file based on the file system event stream data; inputting one or more feature values into a data analytics model to predict a target label value based on the one or more feature values of the plural different feature combinations and agnostic to the process; and performing a predetermined operation based on the target label value.