Abstract: A method includes receiving information about a color blindness of a viewer and an electronic display; receiving information about an input image including input R, G, and B values for pixels composing the input image; transforming each pixel's input values to corresponding x and y values in a CIE color space; identifying which of the pixels are within a filter area in the CIE color space; adjusting a color of the pixels that are within the filter area away from a confusion line for the color blind person to provide a corresponding color-modified pixel; generating a color-modified image composed of the color-modified and original pixels; and displaying the color-modified image with the electronic display.

Abstract: A system includes a full-color electronic display, an eye-tracking module arranged to track an eye of a viewer of the display during operation of the system, at least one programmable processor, and a machine-readable medium storing instructions that, when executed by the at least one programmable processor to perform operations, including: (i) assessing uncorrected image data with one or more image frames, including determining an initial color of pixels in an image frame; (ii) assessing, based on data from the eye-tracking module, a location on the display where the viewer's eye is looking; (iii) modifying a color of red pixels from its initial color to a modified red color based on the location of the pixel relative to the location on the display where the viewer's eye is looking and the initial color of the pixel; and (iv) displaying, on the display, the image frames in which the one or more pixels have the modified color and other pixels have their initial color.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for drone delivery. One of the methods includes: receiving, at the UAV, information about a location of a drop beacon comprising GPS coordinates of a location of a drop beacon; navigating the UAV towards the location based on the information using GPS coordinates of the drop beacon; when reaching a proximity of the drop beacon, transmitting a first radio signal from the UAV with information relatable by the drop beacon; receiving, at the UAV, a second radio signal from the drop beacon; identifying, at the UAV, a line-of-sight signal from the drop beacon; navigating the UAV to the drop beacon based on the line-of-sight signal; and delivering, from the UAV, the goods to the location of the drop beacon.

Abstract: Techniques for evaluating and reducing myopiagenic effects of electronic displays are disclosed.

Abstract: Various techniques can be used to evaluate and reduce myopiagenic effects of electronic displays are disclosed. In one example, uncorrected image data corresponding to at least one uncorrected frame is assessed by identifying pixels having a red hue in the uncorrected frame(s). Modified image data is provided based on the uncorrected image data and the assessment. The modified image data corresponds to at least one corrected frame corresponding to the at least one uncorrected frame. Corrected frames are displayed, where one or more red-hued pixels in a corrected frame has a reduced degree of red saturation compared to the corresponding pixel in the uncorrected frame. The degree of red saturation in the red-hued pixels in the corrected frame is reduced based on a respective location of the pixels in the corrected frame.

Abstract: A method and an apparatus for modifying initial image data for a frame based on a relative level of stimulation of cones in a viewer's eye are disclosed, wherein the modified image data results in reduced contrast between neighboring cones in the viewer's eye.

Abstract: Techniques for evaluating and reducing myopiagenic effects of electronic displays are disclosed.

Abstract: Methods for displaying an e-book using a combination of colors for text and background that have a reduced myopiagenic effect compared to black text on white background, include: presenting a user with one or more combinations of colors for the text and background identified as having a reduced myopiagenic effect, wherein none of the presented combinations comprise either black or white text or either black or white background, and, when viewed by the user's retina, an image composed of text and background rendered in any of the presented color combinations provides reduced center-surround contrast on the user's retina compared to the image viewed as black text on white background; receiving a selection of one of the color combinations from the user; and displaying the e-book file using the combination of colors for the text and background selected by the user.

Abstract: Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance.

Abstract: Presented are systems and methods for creating a set of signatures including acquiring a data set and converting the data set into a plurality of data matrices. The system determines a prime number and determines a plurality of primitive roots to the prime number. The system calculates a template matrix using a first and second primitive root, of the plurality of primitive roots, and selects a data matrix property of interest. The system calculates a first hash function for each of the data matrices to create a first signature for each data matrix such that a main set of signatures is formed, wherein the first hash function is calculated using said property of interest, the prime number, and the template matrix. The system generates a main set of signatures based on the first hash functions, wherein the main set of signatures comprises a first signature for each data matrix.

Abstract: Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance.

Abstract: An apparatus comprises a visibility module configured to derive a hit visibility score for one or more hits from an information source, wherein the one or more hits are directed to a target entity, and wherein the hit visibility score indicates a likelihood that a corresponding hit is found by a searcher after the searcher searches for the target entity in the information source; a sentiment module configured to derive a hit sentiment score for at least one of the one or more hits, wherein the hit sentiment score indicates a sentiment about the target entity conveyed by the at least one of the one or more hits; and a reputation module configured to derive a reputation for the target entity based on the hit visibility score and the hit sentiment score.

Abstract: Presented are systems and methods of operation for a framework system. The framework system acquires software code and modularizes the software code to create an associated modular code, wherein the modular code is composed of a plurality of synchronous and asynchronous modular elements. The framework system modifies the modular code using a modular element, and automatically modifies the software code based on the modified modular code.

Abstract: Presented are systems and methods for creating a set of signatures including acquiring a data set and converting the data set into a plurality of data matrices. The system determines a prime number and determines a plurality of primitive roots to the prime number. The system calculates a template matrix using a first and second primitive root, of the plurality of primitive roots, and selects a data matrix property of interest. The system calculates a first hash function for each of the data matrices to create a first signature for each data matrix such that a main set of signatures is formed, wherein the first hash function is calculated using said property of interest, the prime number, and the template matrix. The system generates a main set of signatures based on the first hash functions, wherein the main set of signatures comprises a first signature for each data matrix.

Abstract: An apparatus comprises a visibility module configured to derive a hit visibility score for one or more hits from an information source, wherein the one or more hits are directed to a target entity, and wherein the hit visibility score indicates a likelihood that a corresponding hit is found by a searcher after the searcher searches for the target entity in the information source; a sentiment module configured to derive a hit sentiment score for at least one of the one or more hits, wherein the hit sentiment score indicates a sentiment about the target entity conveyed by the at least one of the one or more hits; and a reputation module configured to derive a reputation for the target entity based on the hit visibility score and the hit sentiment score.

Abstract: An apparatus comprises a visibility module configured to derive a hit visibility score for one or more hits from an information source, wherein the one or more hits are directed to a target entity, and wherein the hit visibility score indicates a likelihood that a corresponding hit is found by a searcher after the searcher searches for the target entity in the information source; a sentiment module configured to derive a hit sentiment score for at least one of the one or more hits, wherein the hit sentiment score indicates a sentiment about the target entity conveyed by the at least one of the one or more hits; and a reputation module configured to derive a reputation for the target entity based on the hit visibility score and the hit sentiment score.

Abstract: Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance.

Abstract: Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance.

Abstract: Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance.