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 invention includes a method for determining nucleic acid contributors to a sample from nucleic acids by determining one or more macrohaplotypes, comprising the steps of: obtaining or having obtained a sample; designing macrohaplotypes to obtain two or more markers selected from Short Tandem Repeat (STR), Single Nucleotide Polymorphisms (SNPs), Insertion-Deletions (Indels), or combinations thereof; generating amplicons or obtaining a sequence of amplicons from the sample from a paternal, maternal, or both chromosomes; sequencing the amplified products with LRS technologies; calling the haplotype variants of the sequence data; calculating from the one or more macrohaplotypes one or more nucleic acid contributors to the biological sample or specimen; comparing the one or more macrohaplotypes to a reference or known macrohaplotype profile from a subject suspected of contributing nucleic acids to the sample; and identifying a number of contributors to the sample.

Abstract: The present disclosure describes computer systems and computer-implemented methods for use in an agricultural operation. Vehicle location information for at least one agricultural vehicle is received, and the vehicle location information is used to determine a vehicle path. Vehicle state information is received from the vehicle and is used to determine whether the vehicle is in a working or non-working state. The vehicle path is then rendered on a map display, with the map display visually distinguishing between sections of the vehicle path traversed while the vehicle is in the working state and sections of the vehicle path traversed while the vehicle is in the non-working state.

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: Methods, apparatus, systems, and articles of manufacture are disclosed to translate hash-based signature signals for machine learning applications. In one example, the apparatus includes a processor to execute instructions to determine an element count for a plurality of hash elements of a locality sensitivity hash, preserve ones of hash elements of the plurality of hash elements that satisfy an element count threshold, and produce a cluster of encoded feature vectors of the preserved ones of the hash elements. The processor further to execute instructions to determine an occurrence frequency of hash elements in the cluster and create a synthetic hash of the cluster based on a subset of the hash elements in the cluster that satisfy an occurrence frequency threshold.

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: 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: 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, 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 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 lighting system configured for daylight emulation. The system includes a plurality of artificial light sources for generating a daylight-emulating output light spectrum. The system also includes a controller for controlling spatial tuning of one or more of a bright spot, a reflection, and a shadow of generated artificial light that is transmitted from one or more light emitting surfaces to one or more target areas. The system further includes a networking facility that facilitates data communication with at least one external resource.

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: 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, apparatus, systems and articles of manufacture are disclosed for generic process chain entity mapping. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to receive process chain input data, the input data including a system path, identify a match between a path alias and the input data, wherein the path alias includes an alias for one or more system path format patterns, extract at least one of (1) metadata information or (2) command line parameter information from the match, and output transformed data based on the at least one of the extracted metadata information or command line parameter information, the transformed data output in a generalized format.

Abstract: A chassis for a vehicle includes a frame having a first end and an opposing second end. The frame includes a first frame rail defining a first channel, a second frame rail defining a second channel and that is spaced from the first frame rail, and a cross member assembly coupled to the first end of the frame and extending between the first frame rail and the second frame rail. The cross member assembly includes a first end plate positioned within and releasably received by the first channel of the first frame rail, a second end plate positioned within and releasably received by the second channel of the second frame rail, and a cross member extending between the first end plate and the second end plate.

Abstract: A lighting system configured for daylight emulation. The system includes a plurality of light sources for generating a daylight-emulating output light spectrum and a ventilation element for generating a simulated breeze to artificially emulate conditions in an outside environment of an enclosed structure in which the lighting system is disposed. 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 controller also controls the generated simulated breeze of the ventilation element to be one of a cool breeze and a warm breeze to artificially emulate the outside environment in correspondence with the artificially emulated daylight spectrum. The system further includes a networking facility that facilitates data communication with at least one external resource.

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, 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.