Abstract: In variants, a method for automated gamete selection can include: sampling a video of a scene having a plurality of gametes, tracking each gamete across successive images, and determining attribute values for a gamete, and selecting the gamete. The attribute values can be determined using a model trained to predict the attribute values for the gamete based on a video.

Abstract: Systems and methods for disrupting unauthorized communication in low frequency radio communication devices are provided. Traditional systems and methods may fail to provide for disrupting unauthorized communications by generating low frequency signals in the same band as the low frequency bands of the low frequency radio communication devices. Embodiments of the present disclosure provides for overcoming the limitations faced by the traditional systems and methods by generating, via a square wave generator and a device coil of a low frequency radio communication device, low frequency signals; integrating the low frequency signals on a computing device by implementing a power controlling technique; and disrupting, via the integrated low frequency signals on the computing device, unauthorized communications in the low frequency radio communication device.

Abstract: An example method comprises receiving data points, determining at least one size of a plurality of subsets based on a constraint of at least one computation device or an analysis server, transferring each of the subsets to different computation devices, each computation device selecting a group of data points to generate a first sub-subset of landmarks, add non-landmark data points that have the farthest distance to the closest landmark to create an expanded sub-subset of landmarks, create an analysis landmark set based on a combination of expanded sub-subsets of expanded landmarks from different computation devices, perform a similarity function on the analysis landmark set, generate a cover of the mathematical reference space to create overlapping subsets, cluster the mapped landmark points based on the overlapping subsets, create a plurality of nodes, each node being based on the clustering, each landmark point being a member of at least one node.

Abstract: A computer is programmed to determine a training dataset that includes a plurality of images each including a first object and an object label, train a first machine learning program to identify first object parameters of the first objects in the plurality of images based on the object labels and a confidence level based on a standard deviation of a distribution of a plurality of identifications of the first object parameters, receive, from a second machine learning program, a plurality of second images each including a second object identified with a low confidence level, process the plurality of second images with the first machine learning program to identify the second object parameters with a corresponding second confidence level that is greater than a second confidence level, retrain the first machine learning program based on the identified second object parameters.

Abstract: Exemplary systems and methods for visualization of data analysis are provided. In various embodiments, a method comprises accessing a database, analyzing the database to identify clusters of data, generating an interactive visualization comprising a plurality of nodes and a plurality of edges wherein a first node of the plurality of nodes represents a cluster and an edge of the plurality of edges represents an intersection of nodes of the plurality of nodes, selecting and dragging the first node in response to a user action, and reorienting the interactive visualization in response to the user action of selecting and dragging the first node.

Abstract: A system comprises a computer including a processor and a memory, and the memory including instructions such that the processor is programmed to calculate a standard deviation of a plurality of predictions, wherein each prediction of the plurality of predictions is generated by a different deep neural network using sensor data; and determine at least one of a measurement corresponding to an object based on the standard deviation.

Abstract: Exemplary systems and methods for visualization of data analysis are provided. In various embodiments, a method comprises accessing a database, analyzing the database to identify clusters of data, generating an interactive visualization comprising a plurality of nodes and a plurality of edges wherein a first node of the plurality of nodes represents a cluster and an edge of the plurality of edges represents an intersection of nodes of the plurality of nodes, selecting and dragging the first node in response to a user action, and reorienting the interactive visualization in response to the user action of selecting and dragging the first node.

Abstract: A method for determining a defect material element, the method includes (a) acquiring, by a charged particle beam system and by applying a spectroscopy process, an electromagnetic emission spectrum of a part of a defect; (b) acquiring, by the charged particle beam system, a backscattered electron (BSE) image of an area that includes the defect; and (c) determining a defect material element. The determining of the defect material element includes: determining whether an ambiguity exists in the electromagnetic emission spectrum, and resolving the ambiguity based on the BSE image, when it is determined that the ambiguity exists.

Abstract: A distribution of a plurality of predictions generated by a deep neural network using sensor data is calculated, and the deep neural network includes a plurality of neurons. At least one of a measurement or a classification corresponding to an object is determined based on the distribution. The deep neural network generates each prediction of the plurality of predictions with a different number of neurons.

Abstract: Exemplary systems and methods for visualization of data analysis are provided. In various embodiments, a method comprises accessing a database, analyzing the database to identify clusters of data, generating an interactive visualization comprising a plurality of nodes and a plurality of edges wherein a first node of the plurality of nodes represents a cluster and an edge of the plurality of edges represents an intersection of nodes of the plurality of nodes, selecting and dragging the first node in response to a user action, and reorienting the interactive visualization in response to the user action of selecting and dragging the first node.

Abstract: A method for determining a defect material element, the method includes (a) acquiring, by a charged particle beam system and by applying a spectroscopy process, an electromagnetic emission spectrum of a part of a defect; (b) acquiring, by the charged particle beam system, a backscattered electron (BSE) image of an area that includes the defect; and (c) determining a defect material element. The determining of the defect material element includes: determining whether an ambiguity exists in the electromagnetic emission spectrum, and resolving the ambiguity based on the BSE image, when it is determined that the ambiguity exists.

Abstract: Systems and methods for disrupting unauthorized communication in low frequency radio communication devices are provided. Traditional systems and methods may fail to provide for disrupting unauthorized communications by generating low frequency signals in the same band as the low frequency bands of the low frequency radio communication devices. Embodiments of the present disclosure provides for overcoming the limitations faced by the traditional systems and methods by generating, via a square wave generator and a device coil of a low frequency radio communication device, low frequency signals; integrating the low frequency signals on a computing device by implementing a power controlling technique; and disrupting, via the integrated low frequency signals on the computing device, unauthorized communications in the low frequency radio communication device.

Abstract: A shroud assembly may comprise a first ring, a second ring aft of the first ring, and a shroud disposed between the first ring and the second ring. The shroud may comprise a plurality of circumferentially adjacent shroud segments. Each shroud segment of the plurality of circumferentially adjacent shroud segments may extend axially from the first ring to the second ring.

Abstract: A shroud assembly may comprise a first ring, a second ring aft of the first ring, and a shroud disposed between the first ring and the second ring. The shroud may comprise a plurality of circumferentially adjacent shroud segments. Each shroud segment of the plurality of circumferentially adjacent shroud segments may extend axially from the first ring to the second ring.

Abstract: Exemplary systems and methods for visualization of data analysis are provided. In various embodiments, a method comprises accessing a database, analyzing the database to identify clusters of data, generating an interactive visualization comprising a plurality of nodes and a plurality of edges wherein a first node of the plurality of nodes represents a cluster and an edge of the plurality of edges represents an intersection of nodes of the plurality of nodes, selecting and dragging the first node in response to a user action, and reorienting the interactive visualization in response to the user action of selecting and dragging the first node.

Abstract: An example method comprises receiving data points, determining at least one size of a plurality of subsets based on a constraint of at least one computation device or an analysis server, transferring each of the subsets to different computation devices, each computation device selecting a group of data points to generate a first sub-subset of landmarks, add non-landmark data points that have the farthest distance to the closest landmark to create an expanded sub-subset of landmarks, create an analysis landmark set based on a combination of expanded sub-subsets of expanded landmarks from different computation devices, perform a similarity function on the analysis landmark set, generate a cover of the mathematical reference space to create overlapping subsets, cluster the mapped landmark points based on the overlapping subsets, create a plurality of nodes, each node being based on the clustering, each landmark point being a member of at least one node.

Abstract: A system and method of transferring cells through a switch fabric having a shared memory crossbar switch, a plurality of cell receive blocks and a plurality of cell transmit blocks. The system determines, based on a number of cells queued up in respective output buffers in the cell transmit blocks, output buffers in the cell transmit blocks that can receive cells on a low latency path. The cells transferred include first cells that can be transferred on the low latency path and second cells that cannot be transferred via the low latency path. The first cells are transferred via a bypass mechanism in shared memory to the output buffers. The second cells are transferred by writing the second cells to shared memory, reading the second cells from shared memory and transferring the second cells read from shared memory to the output buffers in the cell transmit blocks.

Abstract: An example method includes receiving analysis data and output indicator, mapping data points from a transposition of the analysis data to a reference space, generating a cover of the reference space, clustering the data points mapped to the reference space using the cover and a metric function to determine each node of a plurality of nodes, for each node, identifying data points that are members to identify similar features, grouping features as being similar to each other based on node(s), for each feature, determining correlation with at least some data associated with the output indicator and generate a correlation score, displaying at least groupings of similar features and displaying the correlation scores, receiving a selection of features, generating a set of models based on selection, determining fit of each generated model to output data and generate a model score, and generating a model recommendation report.

Abstract: An example method comprises receiving data points, determining at least one size of a plurality of subsets based on a constraint of at least one computation device or an analysis server, transferring each of the subsets to different computation devices, each computation device selecting a group of data points to generate a first sub-subset of landmarks, add non-landmark data points that have the farthest distance to the closest landmark to create an expanded sub-subset of landmarks, create an analysis landmark set based on a combination of expanded sub-subsets of expanded landmarks from different computation devices, perform a similarity function on the analysis landmark set, generate a cover of the mathematical reference space to create overlapping subsets, cluster the mapped landmark points based on the overlapping subsets, create a plurality of nodes, each node being based on the clustering, each landmark point being a member of at least one node.

Abstract: A computer having a processor and memory that stores instructions executable by the processor, wherein the computer is programmed to: receive adaptive transmission clutch data from a plurality of first vehicles, the data from each first vehicle including a modified shifting profile; determine, using the received data, an updated initial shifting profile; and provide the updated initial profile to a plurality of second vehicles.