The present invention relates to the technical field of optical analog computing, and specifically provides a planar micro-nano optical analog computing device. A planar micro-nano optical element includes a micro-nano structure. By adjusting a physical parameter of the micro-nano structure, the planar micro-nano optical element corresponds to different transfer functions at different resonance wavelengths, and a relationship curve between the transfer function and an incident wave vector at different resonance wavelengths is rectangle bandpass filtering functions with different bandwidths. According to the present invention, based on the planar micro-nano optical element, required transfer functions at different wavelengths are designed, so that a wavelength-controlled two-dimensional multi-channel image optical analog computing device with a high numerical aperture and insensitive polarization can be implemented, and differential image processing can be performed on target objects with different structural sizes selectively.

Method and system for validating planting of trees. For example, the method includes receiving a first image depicting a tree, receiving a second image depicting an environment where the tree is to be planted, receiving a third image depicting the tree having been planted in the environment, selecting and encoding a first patch of the first image that depicts the tree, selecting and encoding a second patch of the second image that depicts the environment, selecting and encoding a third patch of the third image that depicts both the tree and the environment, and comparing the encoded patches to determine whether the tree has been planted in the environment.

In one light-based computing method, a first light representing a first numerical input, a second light representing a second numerical input, and a third light representing an output command are received. The first and second lights are comingled. The output light sum of the numerical inputs is based on sensing the amplitude of the comingled light. In another light-based computing method, non-binary values are associated with corresponding light amplitudes. A main light containment area comingles two or more lights inside it. Each of the two or more lights has an amplitude associated with a non-binary value. After sensing light in a secondary light containment area, the resultant light amplitude of the comingled light is detected and becomes the basis for the result of the calculation.

An optical computing device includes a parametric oscillator array, an interaction computing matrix, a first feedback system coupled to two ends of the parametric oscillator array, and a second feedback system coupled to the parametric oscillator array and the interaction computing array. The parametric oscillator array is configured to receive a first group of signals, and generate a first group of optical signals including a plurality of first optical signals. The interaction computing array is configured to receive the first group of optical signals, and perform matrix operation on the first group of optical signals. The first feedback system is configured to receive the first group of optical signals, and transmit the first group of optical signals to the parametric oscillator array. The second feedback system is configured to receive the second group of optical signals, and transmit the second group of optical signals to the parametric oscillator array.

An optical computing system includes: a light diffraction element group including n pieces of light diffraction elements, where n is a natural number of 2 or more. Each of the n pieces includes cells, each of which has a thickness or a refractive index that is independently set. Each of the cells is classified into a C1 cell or a C2 cell. The thickness or the refractive index of each of the C1 cells is set such that optical computing that is carried out by the light diffraction element group becomes an identity operation when the C2 cells are masked.

A method includes receiving telematics data comprising information related to one or more driving behaviors of the user. The method also includes processing one or more user interface features based at least in part upon the telematics data. The method further includes generating a web page for the user. Other embodiments are disclosed herein.

A computer-implemented method includes a computer-implemented method can include receiving telematics data comprising information related to one or more driving behaviors of a user. The telematics data is received from one or more sensors located in a vehicle when the user is operating the vehicle. The method also can include determining one or more user characteristics of the user based at least on the telematics data. The method additionally can include selecting an advertisement from a plurality of advertisements based at least on the one or more user characteristics. Other embodiments are described.