Abstract: Systems, methods, computer-readable media, and techniques disclosed herein provide for preparing a solution to a problem comprising a constraint on a non-classical computer, comprising: (a) providing a state preparation operation, wherein the state preparation operation comprises at least a portion of an implementation of the problem comprising the constraint on the non-classical computer, wherein the state preparation operation is configured to evolve a quantum register to a solution state; (b) applying a constraint detection operation, the constraint detection operation comprising entangling an ancilla qubit with a set of data qubits; and (c) measuring the ancilla qubit to determine whether a constraint of the problem is satisfied.

Abstract: Disclosed examples include obtaining malicious neighbor samples based on a non-classified sample; obtaining clean neighbor samples based on the non-classified sample; generating a malicious proximity vector representing first distances between the non-classified sample and a first malicious neighbor sample from the malicious neighbor samples; generating a clean proximity vector representing second distances between the non-classified sample and a first clean neighbor sample from the clean neighbor samples; and classifying the non-classified sample as a clean sample or a malicious sample based on at least one of the malicious proximity vector or the clean proximity vector.

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: A vehicle having a primary mover, a charging system, multiple electric loads, and a controller. The charging system includes a charge storing device and an alternator. The alternator is configured to convert mechanical energy generated by the prime mover into electrical energy to charge the charge storing device. The multiple electrical loads are electrically coupled to the charging system via a power distribution module. The controller is communicably coupled to the charging system and is configured to receive an indication that an electrical output of the charging system is unable to provide sufficient electrical energy to each electrical load in the electrical loads. The controller is also configured to provide a control signal to the power distribution module in response to the indication. The control signal is configured to cause the power distribution module to decouple at least one of the electrical loads from the charging system.

Abstract: A system and method for facilitating a member journey through healthcare service by augmenting stewardship workflow across multiple service areas is disclosed. The system and method includes augmenting the healthcare stewardship workflow by standardizing the healthcare service practices, increasing the quality of care for patients, improving the workflow efficiency of healthcare personnel, reducing the costs associated with providing healthcare services, and enabling the ease of regulatory compliance using machine learning techniques. The system and method provides the healthcare personnel with access to healthcare-relevant and fact-based artificial intelligence powered by machine learning for decision support opportunities to drive recommended care pathways.

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: 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: A graphic overlay device and method for creating a graphic image of time-specific data that can be synchronized with video and audio. A video graphic overlay image can be populated with a data stream input relevant to a video stream, live or pre-recorded, and can be combined with a high resolution video stream. This provides broadcasters and video producers a way to enhance their multi-media capabilities and program quality while improving speed, robustness, reliability, efficiency and story-telling capabilities, particularly during live broadcasts.

Abstract: A platform for an improved radio control system for mobile equipment (e.g., crane) is provided that has different types of Transmitters (Basic Transmitter, Standard Transmitter, Belly Box Transmitter, and Mill-Style Belly Box Transmitter) and different types of Receivers (Standard Crane Mount Receiver, Digital Receiver, Expandable Receiver operable with different internal expansion cards, and different external Receiver boards) from which users can create a customized radio system for their desired radio controlled machine application (e.g., a DC Radio System, or an AC Radio System, for industrial and commercial environments). Transmitters have platform-wide battery pack and charger compatibility. Transmitters/Receivers have USB connections to obtain data logs, and various indicators (e.g., tricolor LEDs) for battery status, pairing status, and/or operational configuration or status (e.g., fault).

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: Disclosed examples include obtaining malicious neighbor samples based on a non-classified sample; obtaining clean neighbor samples based on the non-classified sample; generating a malicious proximity vector representing first distances between the non-classified sample and a first malicious neighbor sample from the malicious neighbor samples; generating a clean proximity vector representing second distances between the non-classified sample and a first clean neighbor sample from the clean neighbor samples; and classifying the non-classified sample as a clean sample or a malicious sample based on at least one of the malicious proximity vector or the clean proximity vector.

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: In an aspect, the present disclosure provides a method comprising providing a first optical trap and a second optical trap, trapping an atom in the first optical trap, identifying a presence of the atom in the first optical trap, and transferring the atom from the first optical trap to the second optical trap.

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 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 invention includes methods and kits for determining one or more nucleic acid contributors to a sample or specimen from single cells in a sample, comprising: counting isolated cells and cell types; determining a mixture ratio of isolated cells and cell types; generating amplicons from each cell in the sample; calculating from the counted isolated cells, the cell types, the mixture ratio and amplicons from each single cell; comparing the amplicons a reference or known amplicon profile from a subject suspected of contributing nucleic acids; clustering the cells to contributors; identifying a number of contributors to the biological sample or specimen; generating consensus profiles for each contributor, and comparing the consensus profde of each contributor to a reference or known amplicon profde from a subject suspected of contributing nucleic acids to the biological sample or specimen.

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: In an aspect, the present disclosure provides a method comprising providing a plurality of atoms. At least one atom of the plurality of atoms may have a different state than one or more other atoms of the plurality of atoms. The at least one atom may be excited to an excited state. The exciting may be performed using a non-site selective excitation beam over the plurality of atoms that only interacts with the at least one atom.