Abstract: Embodiments in accordance with this disclosure provide a system and method for predicting an attention level of a viewer corresponding to one or more portions of a media item. The method can include receiving a media item, segmenting the media item into one or more segments, each segment corresponding to a portion of the media item, identifying one or more characteristics associated with each segment of the one or more segments, providing the segmented media item and identified characteristics to a machine-learning model that has been trained using empirical data from identified user gaze locations on training media items, and generating a heat map that predicts the attention level of the viewer corresponding to the one or more segments of the digital media item based on the segmented media item, identified characteristics, and the empirical data.

Abstract: A spiking neural network system for single-photon imaging is disclosed.

Abstract: A spiking neural network system for single-photon imaging is disclosed.

Abstract: A microseismic interference positioning method and system based on a time-shift correlation coefficient, an electronic device and a storage medium are provided. The method includes: constructing a DTW time-shift correlation coefficient by using a DTW algorithm; multiplying the constructed time-shift correlation coefficient by an imaging operator; stacking all time-shift correlated gathers at a same grid point to obtain an imaging result for a single grid point; and stacking imaging results of all grid points to obtain a final imaging map characterizing a location of a microseismic source. A position with a maximum imaging value is the location of the microseismic source, thereby positioning the microseismic source. The method can solve a problem of reduced imaging resolution of cross-correlation imaging operators caused by wave propagation effects and noise, and improves the positioning performance under the influence of noise contamination.

Abstract: A method of controlling a computer process for designing or verifying a photolithographic component, the method including building a source tree including nodes of the process, including dependency relationships among the nodes, defining, for some nodes, at least two different process conditions, expanding the source tree to form an expanded tree, including generating a separate node for each different defined process condition, and duplicating dependent nodes having an input relationship to each generated separate node, determining respective computing hardware requirements for processing the node, selecting computer hardware constraints based on capabilities of the host computing system, determining, based on the requirements and constraints and on dependency relations in the expanded tree, an execution sequence for the computer process, and performing the computer process on the computing system.