ALGORITHMIC DESIGN & MINING
Algorithms are adept at data pattern detection to uncover, refute, validate, and predict connections within infinite ranges of information. ‘Text mining’ algorithms enable systems to detect and extract target information within massive data sets. However, such data extraction leads to informational forks prompting further enquiry: Is text data aware? How do algorithms perceive recorded language and emotion, if at all?
“… ‘text mining’ algorithms…allow computers to read through large quantities of text and extract ‘high-quality’ nuggets of information from them. Text mining algorithms are rife in cyberspace; reading the opinions held in our tweets, picking adverts based on our emails and interpreting online chatter in the interest of national security.”
– Matthew Turnbull, Art of the Algorithm
QUANTUM SORTING & GENERATIVE ART
The act of sorting algorithms reorganizes design elements into random data sequences, thus creating data visualizations of sequential programming patterns. These visual footprints are also known as generative art – a method of computational processing via automated systems.
Multidisciplinary generative art processes (programming, philosophy, etc) create automated design patterns throughout computers, data sets, and random variables. Digital metaphors subsequently emerge to illustrate the real-time connection between humanity, data, and emergent quantum technologies.
With the rise of quantum computing specifically, users may accelerate programs through classical computers (drivers) to quantize simulated coding systems via artificial intelligence (AI) and mechanized learning processes.
“…one of the nicest things about (art) is that it is used in many different senses, each of which is quite appropriate in connection with computer programming.”
– Donald E. Knuth , Computer Programming as an Art
Humans are really good at…mining our own intelligence into a useful format.”
– Will Wright, Spore & The Meta-Brain
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