The Colour of Intelligence (by Diego Fdez-Sevilla, PhD.)
As Environmental Biologist I have used colour to stain tissues and particles in Aerobiological studies, also I have used fluorescence to identify biological tissues and particles, spectroscopy to measure light that is emitted, absorbed, or scattered by materials and even spectrophotometry for dna quantification in allergological studies.
Today I have seen the program of a Congress focused on Colour. And it made me think.
The applications and studies around colour cover many different fields.
From perception and brain imaging to industrial applications.
Colorimetry to determine the concentration of coloured compounds in solution, its presence and applications in art, culture and also in architecture and its relationship with health. Also the design of glasses, lenses and sensors as well as in spectrophotometry focusing on the quantitative measurement of the reflection or transmission properties of a material as a function of wavelength. And more.
The congress misses how many of those applications are being incorporated in environmental studies since imagery has become more and more influential in assessing the dynamics and evolution of our global system. And with the incorporation of these techniques also comes their limitations.
Colour is tangible by the perception that we have of it but mostly, by the interpretation that we make of it. So the “brains” processing what the sensors perceive makes the most of the information that we get. And from there, our interpretation of that our sensors perceive make us build an image, conceptualise its meaning and reach conclusions. And that is a process which we make biologically and we try to replicate with computers.
This innate processing that we can make instinctively by the connection between our eyes and our brain is part of our data recovery system which also manage and integrate the data coming from our other sensors (senses). And all that processing evolves in close contact with the development of our own Intelligence capabilities.
The development of Artificial Intelligence and its integration in the analysis and modelling of our surroundings, grows in relevance day by day. I have talked about the limitations of relying on artificial and systematic manipulation of data before.
- The scope of Environmental Science and scientific thought. From Thought-driven to Data-driven, from Critical Thinking to Data Management. (by Diego Fdez-Sevilla) 26 June 2015
- Artificial Intelligence “Indoors” and “Outdoors” (by Diego Fdez-Sevilla, PhD.) 22 March 2016
One post that I have published recently was not so obvious:
This post looked more like an emotional speech aimed to build confidence in ourselves. But in the development of any type of “autonomous” intelligence, as the one we consider to be part of human nature, there are two major aspects which are part of the inner nature of processing data and build up of cognitive paths.
One aspect is the dynamic capacities of our brain to play with different parameters to generate scenarios of multiple possibilities allowing the generation of virtual interactions under a set of directives which break any repetitive path adopted as true. In other words, the link between intelligence and imagination revealing its most powerful connection through those process of unconscious dreaming, asleep or awake.
The other major aspect involved in the development of intelligence is the interpretation that our brain makes out of the perception given by our senses, and how much can we replicate the processing associated between the “interpretation” of colour in developing Intelligence.
One simple example comes with the behaviour adopted when seeing Red. Red is a colour, and not always means danger, or stop, or fire, … Can we teach artificial intelligence to interpret red as passion? Can we teach artificial intelligence to paint choosing colours? Can we develop the intelligence that enable us to perceive colour with so many meanings?
Just a thought.
Diego Fdez-Sevilla, PhD.