Abstract: Within a video frame, elements are identified. A graph is constructed for a portion of video content including the video frame. Using the graph and an excitement level corresponding to an element in the plurality of elements, the video frame is divided into an alterable region and an unalterable region. By solving an optimization problem, a compute resource and a rendering application are selected, the compute resource represented by a runtime feature vector encoding a plurality of features describing execution of the rendering application on the compute resource. Using the compute resource and the rendering application, a background image corresponding to the alterable region is rendered. The unalterable region and the background image are combined into a rendered video frame, the rendered video frame replacing the video frame within the portion of video content.

Abstract: A method for detecting conflation errors in an augmented reality interface is disclosed. In one embodiment, such a method includes receiving an actual screenshot of an augmented reality interface. The method generates, using a generative adversarial network (GAN), a replica screenshot of the augmented reality interface that indicates how the actual screenshot is expected to appear. The replica screenshot is non-identical to the actual screenshot. The method receives the actual screenshot and the replica screenshot into a fractal-based convolutional neural network (CNN) to determine a correlation between the actual screenshot and the replica screenshot. In the event the correlation is below a designated threshold, the method flags the actual screenshot as having a potential conflation error. This conflation error may involve conflating a digital component for a physical component or vice versa. A corresponding system and computer program product are also disclosed.

Abstract: A computer-implemented process using a queue management system includes the following operations. A user and a plurality of configurable nodes are identified in a scope of the queue management system. A proximity between the user and a particular one of the plurality of configurable nodes is dynamically determined in real-time. Using a machine learning engine and based upon the proximity and historical data associated with the scope of the queue management system, a probability measure that the user will engage with the particular one of the plurality of configurable nodes is determined. Based upon the probability measure exceeding a threshold, the user is added to a queue managed by the queue management system. Based upon the user being added to the queue, a state of the one of the plurality of plurality of configuration nodes is altered by the queue management system.

Abstract: An embodiment includes identifying a first simulation and a second simulation such that the first simulation is within a threshold similarity of the second simulation. The embodiment generates a set of emergent simulations based at least in part on emergent hyperparameters, where the emergent hyperparameters are generated using the hyperparameters of the first and second simulations. The embodiment selects a subset of the set of emergent simulations according to a diversity metric and detects a causation variable in the selected subset of emergent simulations. The embodiment then generates a predictive simulation using the causation variable.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: Embodiments of a method and/or system (e.g., for improved single molecule sequencing, etc.) can include preparing a set of unique molecular identifier (UMI)-based molecules associated with a set of target nucleic acid sequences; facilitating generation of (e.g., generating, etc.) a set of tagged nucleic acid molecules based on the set of UMI-based molecules and a set of nucleic acid molecules corresponding to (e.g., including, etc.) the set of target nucleic acid sequences; and/or facilitating (e.g., performing, etc.) single molecule sequencing with the set of tagged nucleic acid molecules.

Abstract: Therapeutic compositions and an associated method for improving a Toll-like receptor (TLR)-related condition, including determining a set of peptide sequences associated with a microorganism-related modulator of a TLR, determining a first set of binding parameters for the set of peptide sequences in relation to the TLR, selecting a target subset of peptide sequences from the set of peptide sequences based on the first set of binding parameters, reengineering the target subset of peptide sequences based on mutating amino acid residues of the target subset of peptide sequences, determining a second set of binding parameters for the reengineered target subset of peptide sequences in relation to the TLR, and identifying a first peptide for use in a therapeutic composition for improving the TLR-related condition, based on the second set of binding parameters for the reengineered target subset of peptide sequences.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: Embodiments of the system and/or method can include and/or apply a magnetic device for facilitating a magnetic field for isolating the nucleic acid material from a sample, the magnetic device including a support component; and a set of magnetic pins attached to the support component and movable with at least three degrees of freedom when attached to the support component, where the set of magnetic pins provide adaptability to shapes of sample compartments of a sample container.

Abstract: Using a first trained residual neural network, an event analysis is generated from a set of event description encodings, an event description encoding in the set of event description encodings encoding a natural language description of an event, the event analysis comprising a first set of coordinates in an event space. Using a second trained residual neural network, the event analysis and a user description encoding, a personalization analysis is generated, the user description encoding a user interaction with the event, the personalization analysis comprising a component of a second set of coordinates in the event space. Using a combination of the event analysis and the personalization analysis, a first event component is activated, the first event component comprising a component of the event.

Abstract: Described herein is biological barcodes that can be associated with physical articles for use in functioning as a unique identifier.

Abstract: Embodiments of a method and system for improved microbiome sequencing can include: generating guide RNA complexes for a set of targets corresponding to a set of taxa associated with the microorganism-related condition; processing the biological sample with the gRNA complexes to generate microorganism nucleic acid fragments comprising a set of end regions associated with the set of targets; ligating the set of end regions with a set of adapters sharing an adapter sequence; and amplifying the set of targets based on the ligated set of end regions and a set of primers sharing a primer sequence associated with the adapter sequence.

Abstract: Embodiments of a method and/or system can include administering, to a patient with one or more conditions associated with at least one of TMA, TMAO, and/or derivatives thereof, a therapeutically effective amount of a compound for affecting inhibiting one or more CutC enzymes and/or CntA enzymes associated with microorganisms from at least one taxon from a set of microorganism taxa.

Abstract: A method for characterizing compatibility of a drug for a user includes collecting a set of samples from a set of individuals comprising a set of first individuals who respond to a therapy for a microbiome-related condition and a set of second individuals who do not respond to the therapy for the microbiome-related condition and determining one or more datasets based on the set of samples. A set of microbiome features is extracted from the one or more microbiome datasets, the microbiome features facilitating differentiation between individuals who respond and individuals who do not respond to the therapy. A companion diagnostics model is determined based on the set of microbiome features. The compatibility of the drug for the user is then determined using the companion diagnostics model.

Abstract: Embodiments of a method and/or system can include administering, to a patient with one or more conditions associated with at least one of TMA, TMAO, and/or derivatives thereof, a therapeutically effective amount of a compound for affecting inhibiting one or more CutC enzymes and/or CntA enzymes associated with microorganisms from at least one taxon from a set of microorganism taxa.

Abstract: An audio forecasting algorithm that is adjusted (or trained), by machine learning, prior to a sports contest that will be broadcast. The audio forecasting algorithm is then used to position a set of mobile microphones on an ongoing basis during the sports contest. In some embodiments, a band forecasting algorithm is used in the audio forecasting algorithm. In some embodiments, a swarm based correlation algorithm is used in the audio forecasting algorithm.

Abstract: An audio forecasting algorithm that is adjusted (or trained), by machine learning, prior to a sports contest that will be broadcast. The audio forecasting algorithm is then used to position a set of mobile microphones on an ongoing basis during the sports contest. In some embodiments, a band forecasting algorithm is used in the audio forecasting algorithm. In some embodiments, a swarm based correlation algorithm is used in the audio forecasting algorithm.

Abstract: Embodiments of the system and/or method can include and/or apply a magnetic device for facilitating a magnetic field for isolating the nucleic acid material from a sample, the magnetic device including a support component; and a set of magnetic pins attached to the support component and movable with at least three degrees of freedom when attached to the support component, where the set of magnetic pins provide adaptability to shapes of sample compartments of a sample container.