Machine learning & AI

Teaching AI to identify colors in the dark

A team of researchers at the University of California used deep learning to enable limited color vision in the dark. The group published a paper describing their work on the open-access site PLOS ONE.

Energy & Green Tech

Perovskite solar modules with a marble look

In the laboratory, perovskite solar cells already reach efficiencies above 25 percent. Compared to silicon solar cells of similar efficiency, the initial materials used in the former case are cheaper and production methods ...

page 3 from 5

Color

Color or colour (see spelling differences) is the visual perceptual property corresponding in humans to the categories called red, green, blue and others. Color derives from the spectrum of light (distribution of light power versus wavelength) interacting in the eye with the spectral sensitivities of the light receptors. Color categories and physical specifications of color are also associated with objects, materials, light sources, etc., based on their physical properties such as light absorption, reflection, or emission spectra. By defining a color space, colors can be identified numerically by their coordinates.

Because perception of color stems from the varying spectral sensitivity of different types of cone cells in the retina to different parts of the spectrum, colors may be defined and quantified by the degree to which they stimulate these cells. These physical or physiological quantifications of color, however, do not fully explain the psychophysical perception of color appearance.

The science of color is sometimes called chromatics, colorimetry, or simply color science. It includes the perception of color by the human eye and brain, the origin of color in materials, color theory in art, and the physics of electromagnetic radiation in the visible range (that is, what we commonly refer to simply as light).

This text uses material from Wikipedia, licensed under CC BY-SA