Abstract: Embodiments of methods and/or systems for sorting digital information are disclosed. In one particular embodiment, samples of a portion of digital information are associated with prime numerals. Such digital information may then be sorted based upon combinations of such digital information. In another example embodiment, a portion or sub-portion of a collection of digital information is converted to at least one sorting value. It should be understood, however, that these are merely example implementations and that claimed subject matter is not limited in this respect.

Abstract: In one embodiment, a method of machine learning and/or image processing for spectral object classification is described. In another embodiment, a device is described for using spectral object classification. Other embodiments are likewise described.

Abstract: In one embodiment, a method of machine learning and/or image processing for spectral object classification is described. In another embodiment, a device is described for using spectral object classification. Other embodiments are likewise described.

Abstract: In one embodiment, a method of machine learning and/or image processing for spectral object classification is described. In another embodiment, a device is described for using spectral object classification. Other embodiments are likewise described.

Abstract: Embodiments of a data encryption and/or decryption technique are disclosed. In accordance with one example embodiment, a method may include enciphering a message, based at least in part, on a hierarchical symbol assignment system, and modifying an enciphering key signal value to modify a level of security of enciphering.

Abstract: Embodiments of methods and/or systems for sorting digital information are disclosed. In one particular embodiment, samples of a portion of digital information are associated with prime numerals. Such digital information may then be sorted based upon combinations of such digital information. In another example embodiment, a portion or sub-portion of a collection of digital information is converted to at least one sorting value. It should be understood, however, that these are merely example implementations and that claimed subject matter is not limited in this respect.

Abstract: In one embodiment, a method of machine learning and/or image processing for spectral object classification is described. In another embodiment, a device is described for using spectral object classification. Other embodiments are likewise described.

Abstract: Embodiments of a data encryption and/or decryption technique are disclosed. Briefly, for example, in accordance with one example embodiment a method is provided. A message based at least in part on a hierarchical symbol assignment system is encrypted. The hierarchical symbol assignment system is represented as a numerical value.

Abstract: Embodiments of a method or a system for rendering images or spectral recognition are described.

Abstract: Embodiments of a method or a system for rendering images or spectral recognition are described.

Abstract: The accuracy of a double-deflection beam blanker is dramatically improved for all blanker voltages by using provided, closed-form, trajectory equations to determine the blanker geometric parameters and compensating for fringe-field effects in order to precisely determine the delay line length for control of an electron or ion beam. This delay line length is maintained by placing alignment apertures above and below the blanker.